283 Senior Ontology Data Modeling Associate jobs in Reston

Manager, Ontology and Data Modeling

The role of the Manager of Ontology and Data Modeling is to develop, implement, and maintain enterprise ontologies in support of Capital One's Data Strategy.

The Manager of Ontology and Data Modeling, as part of Enterprise Products and Platforms, will be responsible for working collaboratively across Capital One Lines of Business and Functions to develop domain ontologies in support of enterprise initiatives. The Manager of Ontology and Data Modeling will be responsible for partnering with Technology, Machine Learning, and other Capital One teams to support the development and integration of semantic technology into Capital One products and services.

The Manager of Ontology and Data Modeling should be capable of supporting an emerging and evolving semantic program at Capital One, capable of clearly communicating and advocating the value of using semantic technology and knowledge organization concepts.

Primary Responsibilities

• Define clear and actionable problem statements to help teams deliver results while displaying a comprehensive understanding of ontologies and optimized data models
• Leverage customer insights to influence priorities and roadmap development while advocating for and driving alignment between stakeholders in the development of acceptance criteria
• Own and prioritize the near-term Ontology and Data Modeling roadmap to deliver on business outcomes, quickly identifying points of leverage in complex problems or systems, and utilizing data effectively to define success metrics and measurable outcomes
• Utilize balanced judgment in decisions about risks of both actions taken and not taken while innovating on ways to iterate faster in a well-managed way for the immediate team
• Understand and leverage technology and end-state architecture vision in partnership with Technology, Machine Learning, and other Capital One teams to support the development and integration of semantics in Capital One products and services, driving comprehensive design decisions out of white space technical problems
• Deliver value by creating reusable, extensible and resilient capabilities and proactively identify opportunities when key metrics are not performing
• Develop and communicate a 6-month vision to senior stakeholders and partner teams with accurate details and transparency on risks and impediments, and proactively build relationships with those outside of your immediate team resulting in horizontal influence
• Contribute to team culture and recruiting by leading activities to attract and retain top talent and mentoring and developing junior ontology and data modeling associates
• Manage teams that develop, implement and govern ontologies and optimized data models in consultation with stakeholder
• Contribute to data integration and mapping efforts to harmonize data with Capital One's upper and domain ontologies
• Communicate and advocate the value of Capital One's efforts in ontologies, semantics, and standardization across the business.
• Maintain awareness of competitor and industry developments related to ontology use, knowledge organization, data modeling, and machine learning
• Understand and adhere to W3C standards related to ontologies, in particular RDF, RDFS, OWL, SKOS, and SHACL
• Develop standards, guidelines, and direction for ontology, data modeling, semantics and Data Standardization in general at Capital One

Role-Based Competencies

• Able to develop and implement ontologies and data models in consultation with stakeholders in teams dedicated to data management, search, product management, machine learning, and other enterprise initiatives.
• Able to communicate and advocate the value of using industry standards, applications, and open source data sets.
• Able to analyze and implement knowledge organization strategies using tools capable of machine learning and semantic enrichment.
• Able to maintain awareness of competitor and industry developments related to ontology use, linked data, semantic technology, graph databases, knowledge organization, data modeling, and metadata.
• Able to test/troubleshoot new or updated models and systems
• Able to create processes and tools to establish, maintain, and update ontology, taxonomy, and other data models.
• Able to maintain and update data and models according to industry best practice.
• Able to support knowledge organization workshops in order to further enhance enterprise ontology, taxonomy, or data models.
• Able to assist in the implementation and support of data standardization and ontology governance strategies and processes.
• Able to develop a strong understanding of the Capital One business, processes, customers, users, and business needs to better solve Data Management problems.
• Able to see and communicate the big picture in an inspiring way. Determines opportunity and risks through comprehensive analysis of current and future trends.
• Has very strong research skills.
• Able to communicate and present ideas clearly and with confidence. Delivers presentations and status updates suited to the characteristics and needs of the audience.
• Able to foster strong relationships with business partners, supporting semantic projects across departments. Develops a supportive and helpful culture for assistance in projects and daily support interactions.
• Continually focused on improving the responsiveness and quality of the solutions delivered.
• Exhibits high energy, passion, self-motivation, and creativity for problem solving.

Basic Qualifications

• Bachelors degree in information science, computer science, engineering, library science, ontology, semantics or computational linguistics
• At least 4 years experience in a metadata field of work (ontology, taxonomy, semantics or computational linguistics)
• At least 4 years experience or training in using W3C standards including linked and canonical data and ontologies ( JSON, XML, RDF, RDFS, OWL, and SKOS)
• At least 4 years experience or training in ontology and linked data tools (Protg, TopQuadrant, PoolParty, Stardog, AnzoGraph, Neptune, or Data.World)
• At least 4 years experience or training with SQL or SPARQL

Preferred Qualifications

• Masters degree or PhD in information science, computer science, engineering, library science, ontology, semantics or computational linguistics
• Understanding of the development of ontologies and the use of controlled vocabularies and thesauri in enhancing the discovery of management of enterprise data
• Familiarity with unstructured data
• Familiarity with graph databases and technologies
• Familiarity with Python or R
• Familiarity with JSON, OpenAPI/YAML, AVRO
• Familiarity with Agile principles, processes, and methodologies
• Familiarity with Amazon Web Services
• Detail-oriented and an ability to problem-solve independently
• Strong reading and writing skills
• Strong project management experience
• Excellent communication skills and the ability to present ideas clearly and with confidence.
• Ability to work individually and with a team to meet deadlines

At this time, Capital One will not sponsor a new applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidates offer letter.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

The role of the Manager of Ontology and Data Modeling is to develop, implement, and maintain enterprise ontologies in support of Capital One's Data Strategy.

The Manager of Ontology and Data Modeling, as part of Enterprise Products and Platforms, will be responsible for working collaboratively across Capital One Lines of Business and Functions to develop domain ontologies in support of enterprise initiatives. The Manager of Ontology and Data Modeling will be responsible for partnering with Technology, Machine Learning, and other Capital One teams to support the development and integration of semantic technology into Capital One products and services.

The Manager of Ontology and Data Modeling should be capable of supporting an emerging and evolving semantic program at Capital One, capable of clearly communicating and advocating the value of using semantic technology and knowledge organization concepts.

Primary Responsibilities

• Define clear and actionable problem statements to help teams deliver results while displaying a comprehensive understanding of ontologies and optimized data models
• Leverage customer insights to influence priorities and roadmap development while advocating for and driving alignment between stakeholders in the development of acceptance criteria
• Own and prioritize the near-term Ontology and Data Modeling roadmap to deliver on business outcomes, quickly identifying points of leverage in complex problems or systems, and utilizing data effectively to define success metrics and measurable outcomes
• Utilize balanced judgment in decisions about risks of both actions taken and not taken while innovating on ways to iterate faster in a well-managed way for the immediate team
• Understand and leverage technology and end-state architecture vision in partnership with Technology, Machine Learning, and other Capital One teams to support the development and integration of semantics in Capital One products and services, driving comprehensive design decisions out of white space technical problems
• Deliver value by creating reusable, extensible and resilient capabilities and proactively identify opportunities when key metrics are not performing
• Develop and communicate a 6-month vision to senior stakeholders and partner teams with accurate details and transparency on risks and impediments, and proactively build relationships with those outside of your immediate team resulting in horizontal influence
• Contribute to team culture and recruiting by leading activities to attract and retain top talent and mentoring and developing junior ontology and data modeling associates
• Manage teams that develop, implement and govern ontologies and optimized data models in consultation with stakeholder
• Contribute to data integration and mapping efforts to harmonize data with Capital One's upper and domain ontologies
• Communicate and advocate the value of Capital One's efforts in ontologies, semantics, and standardization across the business.
• Maintain awareness of competitor and industry developments related to ontology use, knowledge organization, data modeling, and machine learning
• Understand and adhere to W3C standards related to ontologies, in particular RDF, RDFS, OWL, SKOS, and SHACL
• Develop standards, guidelines, and direction for ontology, data modeling, semantics and Data Standardization in general at Capital One

Role-Based Competencies

• Able to develop and implement ontologies and data models in consultation with stakeholders in teams dedicated to data management, search, product management, machine learning, and other enterprise initiatives.
• Able to communicate and advocate the value of using industry standards, applications, and open source data sets.
• Able to analyze and implement knowledge organization strategies using tools capable of machine learning and semantic enrichment.
• Able to maintain awareness of competitor and industry developments related to ontology use, linked data, semantic technology, graph databases, knowledge organization, data modeling, and metadata.
• Able to test/troubleshoot new or updated models and systems
• Able to create processes and tools to establish, maintain, and update ontology, taxonomy, and other data models.
• Able to maintain and update data and models according to industry best practice.
• Able to support knowledge organization workshops in order to further enhance enterprise ontology, taxonomy, or data models.
• Able to assist in the implementation and support of data standardization and ontology governance strategies and processes.
• Able to develop a strong understanding of the Capital One business, processes, customers, users, and business needs to better solve Data Management problems.
• Able to see and communicate the big picture in an inspiring way. Determines opportunity and risks through comprehensive analysis of current and future trends.
• Has very strong research skills.
• Able to communicate and present ideas clearly and with confidence. Delivers presentations and status updates suited to the characteristics and needs of the audience.
• Able to foster strong relationships with business partners, supporting semantic projects across departments. Develops a supportive and helpful culture for assistance in projects and daily support interactions.
• Continually focused on improving the responsiveness and quality of the solutions delivered.
• Exhibits high energy, passion, self-motivation, and creativity for problem solving.

Basic Qualifications

• Bachelors degree in information science, computer science, engineering, library science, ontology, semantics or computational linguistics
• At least 4 years experience in a metadata field of work (ontology, taxonomy, semantics or computational linguistics)
• At least 4 years experience or training in using W3C standards including linked and canonical data and ontologies ( JSON, XML, RDF, RDFS, OWL, and SKOS)
• At least 4 years experience or training in ontology and linked data tools (Protg, TopQuadrant, PoolParty, Stardog, AnzoGraph, Neptune, or Data.World)
• At least 4 years experience or training with SQL or SPARQL

Preferred Qualifications

• Masters degree or PhD in information science, computer science, engineering, library science, ontology, semantics or computational linguistics
• Understanding of the development of ontologies and the use of controlled vocabularies and thesauri in enhancing the discovery of management of enterprise data
• Familiarity with unstructured data
• Familiarity with graph databases and technologies
• Familiarity with Python or R
• Familiarity with JSON, OpenAPI/YAML, AVRO
• Familiarity with Agile principles, processes, and methodologies
• Familiarity with Amazon Web Services
• Detail-oriented and an ability to problem-solve independently
• Strong reading and writing skills
• Strong project management experience
• Excellent communication skills and the ability to present ideas clearly and with confidence.
• Ability to work individually and with a team to meet deadlines

At this time, Capital One will not sponsor a new applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidates offer letter.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Manager, Ontology and Data Modeling

The role of the Senior Manager of Ontology and Data Modeling is to develop, implement, and maintain enterprise ontologies in support of Capital One's Data Strategy.

The Senior Manager of Ontology and Data Modeling, as part of Enterprise Products and Platforms, will be responsible for working collaboratively across Capital One Lines of Business and Functions to develop domain ontologies in support of enterprise initiatives. The Senior Manager of Ontology and Data Modeling will be responsible for partnering with Technology, Machine Learning, and other Capital One teams to support the development and integration of semantic technology into Capital One products and services.

The Senior Manager of Ontology and Data Modeling should be capable of supporting an emerging and evolving semantic program at Capital One, capable of clearly communicating and advocating the value of using semantic technology and knowledge organization concepts.

Primary Responsibilities

• Lead sourcing and synthesis of Data Standardization and Semantics discovery efforts turning insights into actionable strategies that will define the priorities for the team and rally stakeholders to the vision

• Own and prioritize the long-term (12-18 months) Ontology and Data Modeling roadmap to deliver on business outcomes, working closely with a cross-functional team to ensure that all the right resources are aligned to ensure that and your team will be successful

• Define KPIs for Ontology and Data Modeling, measuring and tracking to those measures, with an eye to adjusting and refining the roadmap as the data dictates

• Understand how ontology and data models fis into the larger ecosystem, anticipating impacts from changes in other parts of the business

• Work closely with tech leadership and architecture to understand the tradeoffs of technical decisions and how they impact Ontology and Data modeling as well as consumers

• Communicate and advocate the value of Capital One's efforts in ontologies, semantics, and standardization and proactively leverage relationships throughout the ecosystem to align to your vision and influence prioritization across partner teams

• Attract and retain top talent who can develop, implement and govern ontologies and optimized data models in consultation with stakeholders

• Mentor and develop ontology and data modeling associates throughout their tenure at Capital One

• Contribute to data integration and mapping efforts to harmonize data with Capital One's upper and domain ontologies

• Maintain awareness of competitor and industry developments related to ontology use, knowledge organization, data modeling, and machine learning

• Understand and adhere to W3C standards related to ontologies, in particular RDF, RDFS, OWL, SKOS, and SHACL

• Champion standards, guidelines, and direction for ontology, data modeling, semantics and Data Standardization in general at Capital One

Role-Based Competencies

• Intellectually Curious. You ask why, you explore, you're not afraid to blurt out your crazy idea or follow an email chain for weeks to find someone with an answer. Comfortable with ambiguity, a hunger to learn and a seeker of new challenges.

• Communicator & Influencer. You can communicate complex ideas clearly regardless of your audience. Our team knows their priorities and why theyre doing what theyre doing. You always can rally associates to work with you.

• Do-er. Youre biased toward action, you try things and sometimes you fail. You can get around roadblocks and stay focused on your goals. Youre well organized, able to multitask and able to prioritize your work.

• Passionate & Customer Focus. You care about growing others and bringing them together around whats possible. You get a thrill from the journey of building and shipping products, and you have a desire and ability to connect with our external or internal customers to fully understand their needs.

• Learner. You have an appetite to learn new things or new technologies all while exhibiting humbleness when the time comes to ask for help.

• Team Player. You enjoy working with diverse people and driving the team toward a common goal. You have the ability to put the team before yourself and establish long-lasting relationships.

Basic Qualifications

• Bachelors degree in information science, computer science, engineering, library science, ontology, semantics or computational linguistics

• At least 6 years experience in a metadata field of work (ontology, taxonomy, semantics or computational linguistics)

• At least 6 years experience or training in using W3C standards including linked and canonical data and ontologies ( JSON, XML, RDF, RDFS, OWL, and SKOS)

• At least 4 years experience or training in ontology and linked data tools (Protg, TopQuadrant, PoolParty, Stardog, AnzoGraph, Neptune, or Data.World)

• At least 4 years experience or training with SQL or SPARQL

Preferred Qualifications

• Masters degree or PhD in information science, computer science, engineering, library science, ontology, semantics or computational linguistics

• Experience translating business strategy and analysis into enterprise semantic solutions

• Familiarity with unstructured data

• Familiarity with graph databases and technologies

• Familiarity with Python or R

• Familiarity with JSON, OpenAPI/YAML, AVRO

• Familiarity with Agile principles, processes, and methodologies

• Familiarity with Amazon Web Services

• Detail-oriented and an ability to problem-solve independently

• Strong reading and writing skills

• Strong project management experience

• Excellent communication skills and the ability to present ideas clearly and with confidence.

• Ability to work individually and with a team to meet deadlines

At this time, Capital One will not sponsor a new applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidates offer letter.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

The role of the Senior Manager of Ontology and Data Modeling is to develop, implement, and maintain enterprise ontologies in support of Capital One's Data Strategy.

The Senior Manager of Ontology and Data Modeling, as part of Enterprise Products and Platforms, will be responsible for working collaboratively across Capital One Lines of Business and Functions to develop domain ontologies in support of enterprise initiatives. The Senior Manager of Ontology and Data Modeling will be responsible for partnering with Technology, Machine Learning, and other Capital One teams to support the development and integration of semantic technology into Capital One products and services.

The Senior Manager of Ontology and Data Modeling should be capable of supporting an emerging and evolving semantic program at Capital One, capable of clearly communicating and advocating the value of using semantic technology and knowledge organization concepts.

Primary Responsibilities

• Lead sourcing and synthesis of Data Standardization and Semantics discovery efforts turning insights into actionable strategies that will define the priorities for the team and rally stakeholders to the vision
• Own and prioritize the long-term (12-18 months) Ontology and Data Modeling roadmap to deliver on business outcomes, working closely with a cross-functional team to ensure that all the right resources are aligned to ensure that and your team will be successful
• Define KPIs for Ontology and Data Modeling, measuring and tracking to those measures, with an eye to adjusting and refining the roadmap as the data dictates
• Understand how ontology and data models fit into the larger ecosystem, anticipating impacts from changes in other parts of the business
• Work closely with tech leadership and architecture to understand the tradeoffs of technical decisions and how they impact Ontology and Data modeling as well as consumers
• Communicate and advocate the value of Capital One's efforts in ontologies, semantics, and standardization and proactively leverage relationships throughout the ecosystem to align to your vision and influence prioritization across partner teams
• Attract and retain top talent who can develop, implement and govern ontologies and optimized data models in consultation with stakeholders
• Mentor and develop ontology and data modeling associates throughout their tenure at Capital One
• Contribute to data integration and mapping efforts to harmonize data with Capital One's upper and domain ontologies
• Maintain awareness of competitor and industry developments related to ontology use, knowledge organization, data modeling, and machine learning
• Understand and adhere to W3C standards related to ontologies, in particular RDF, RDFS, OWL, SKOS, and SHACL
• Champion standards, guidelines, and direction for ontology, data modeling, semantics and Data Standardization in general at Capital One

Role-Based Competencies

• Intellectually Curious. You ask why, you explore, you're not afraid to blurt out your crazy idea or follow an email chain for weeks to find someone with an answer. Comfortable with ambiguity, a hunger to learn and a seeker of new challenges.
• Communicator & Influencer. You can communicate complex ideas clearly regardless of your audience. Our team knows their priorities and why they're doing what they're doing. You always can rally associates to work with you.
• Do-er. You're biased toward action, you try things and sometimes you fail. You can get around roadblocks and stay focused on your goals. You're well organized, able to multitask and able to prioritize your work.
• Passionate & Customer Focus. You care about growing others and bringing them together around what's possible. You get a thrill from the journey of building and shipping products, and you have a desire and ability to connect with our external or internal customers to fully understand their needs.
• Learner. You have an appetite to learn new things or new technologies all while exhibiting humbleness when the time comes to ask for help.
• Team Player. You enjoy working with diverse people and driving the team toward a common goal. You have the ability to put the team before yourself and establish long-lasting relationships.

Basic Qualifications

• Bachelor's degree in information science, computer science, engineering, library science, ontology, semantics or computational linguistics
• At least 6 years' experience in a metadata field of work (ontology, taxonomy, semantics or computational linguistics)
• At least 6 years' experience or training in using W3C standards including linked and canonical data and ontologies (JSON, XML, RDF, RDFS, OWL, and SKOS)
• At least 4 years' experience or training in ontology and linked data tools (Protg, TopQuadrant, PoolParty, Stardog, AnzoGraph, Neptune, or Data.World)
• At least 4 years' experience or training with SQL or SPARQL

Preferred Qualifications

• Master's degree or PhD in information science, computer science, engineering, library science, ontology, semantics or computational linguistics
• Experience translating business strategy and analysis into enterprise semantic solutions
• Familiarity with unstructured data
• Familiarity with graph databases and technologies
• Familiarity with Python or R
• Familiarity with JSON, OpenAPI/YAML, AVRO
• Familiarity with Agile principles, processes, and methodologies
• Familiarity with Amazon Web Services
• Detail-oriented and an ability to problem-solve independently
• Strong reading and writing skills
• Strong project management experience
• Excellent communication skills and the ability to present ideas clearly and with confidence.
• Ability to work individually and with a team to meet deadlines

At this time, Capital One will not sponsor a new applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Cambridge, MA: $193,000 - $20,300 for Senior Manager, Ontology and Data Modeling

McLean, VA: 193,000 - 220,300 for Senior Manager, Ontology and Data Modeling

New York, NY: 210,500 - 240,300 for Senior Manager, Ontology and Data Modeling

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace.

Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

Senior Manager, Ontology and Data Modeling

The role of the Senior Manager of Ontology and Data Modeling is to develop, implement, and maintain enterprise ontologies in support of Capital One's Data Strategy.

The Senior Manager of Ontology and Data Modeling, as part of Enterprise Products and Platforms, will be responsible for working collaboratively across Capital One Lines of Business and Functions to develop domain ontologies in support of enterprise initiatives. The Senior Manager of Ontology and Data Modeling will be responsible for partnering with Technology, Machine Learning, and other Capital One teams to support the development and integration of semantic technology into Capital One products and services.

The Senior Manager of Ontology and Data Modeling should be capable of supporting an emerging and evolving semantic program at Capital One, capable of clearly communicating and advocating the value of using semantic technology and knowledge organization concepts.

Primary Responsibilities

• Lead sourcing and synthesis of Data Standardization and Semantics discovery efforts turning insights into actionable strategies that will define the priorities for the team and rally stakeholders to the vision
• Own and prioritize the long-term (12-18 months) Ontology and Data Modeling roadmap to deliver on business outcomes, working closely with a cross-functional team to ensure that all the right resources are aligned to ensure that and your team will be successful
• Define KPIs for Ontology and Data Modeling, measuring and tracking to those measures, with an eye to adjusting and refining the roadmap as the data dictates
• Understand how ontology and data models fis into the larger ecosystem, anticipating impacts from changes in other parts of the business
• Work closely with tech leadership and architecture to understand the tradeoffs of technical decisions and how they impact Ontology and Data modeling as well as consumers
• Communicate and advocate the value of Capital One's efforts in ontologies, semantics, and standardization and proactively leverage relationships throughout the ecosystem to align to your vision and influence prioritization across partner teams
• Attract and retain top talent who can develop, implement and govern ontologies and optimized data models in consultation with stakeholders
• Mentor and develop ontology and data modeling associates throughout their tenure at Capital One
• Contribute to data integration and mapping efforts to harmonize data with Capital One's upper and domain ontologies
• Maintain awareness of competitor and industry developments related to ontology use, knowledge organization, data modeling, and machine learning
• Understand and adhere to W3C standards related to ontologies, in particular RDF, RDFS, OWL, SKOS, and SHACL
• Champion standards, guidelines, and direction for ontology, data modeling, semantics and Data Standardization in general at Capital One

Role-Based Competencies

• Intellectually Curious. You ask why, you explore, you're not afraid to blurt out your crazy idea or follow an email chain for weeks to find someone with an answer. Comfortable with ambiguity, a hunger to learn and a seeker of new challenges.
• Communicator & Influencer. You can communicate complex ideas clearly regardless of your audience. Our team knows their priorities and why theyre doing what theyre doing. You always can rally associates to work with you.
• Do-er. Youre biased toward action, you try things and sometimes you fail. You can get around roadblocks and stay focused on your goals. Youre well organized, able to multitask and able to prioritize your work.
• Passionate & Customer Focus. You care about growing others and bringing them together around whats possible. You get a thrill from the journey of building and shipping products, and you have a desire and ability to connect with our external or internal customers to fully understand their needs.
• Learner. You have an appetite to learn new things or new technologies all while exhibiting humbleness when the time comes to ask for help.
• Team Player. You enjoy working with diverse people and driving the team toward a common goal. You have the ability to put the team before yourself and establish long-lasting relationships.

Basic Qualifications

• Bachelors degree in information science, computer science, engineering, library science, ontology, semantics or computational linguistics
• At least 6 years experience in a metadata field of work (ontology, taxonomy, semantics or computational linguistics)
• At least 6 years experience or training in using W3C standards including linked and canonical data and ontologies ( JSON, XML, RDF, RDFS, OWL, and SKOS)
• At least 4 years experience or training in ontology and linked data tools (Protg, TopQuadrant, PoolParty, Stardog, AnzoGraph, Neptune, or Data.World)
• At least 4 years experience or training with SQL or SPARQL

Preferred Qualifications

• Masters degree or PhD in information science, computer science, engineering, library science, ontology, semantics or computational linguistics
• Experience translating business strategy and analysis into enterprise semantic solutions
• Familiarity with unstructured data
• Familiarity with graph databases and technologies
• Familiarity with Python or R
• Familiarity with JSON, OpenAPI/YAML, AVRO
• Familiarity with Agile principles, processes, and methodologies
• Familiarity with Amazon Web Services
• Detail-oriented and an ability to problem-solve independently
• Strong reading and writing skills
• Strong project management experience
• Excellent communication skills and the ability to present ideas clearly and with confidence.
• Ability to work individually and with a team to meet deadlines

At this time, Capital One will not sponsor a new applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidates offer letter.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

The role of the Senior Manager of Ontology and Data Modeling is to develop, implement, and maintain enterprise ontologies in support of Capital One's Data Strategy.

The Senior Manager of Ontology and Data Modeling, as part of Enterprise Products and Platforms, will be responsible for working collaboratively across Capital One Lines of Business and Functions to develop domain ontologies in support of enterprise initiatives. The Senior Manager of Ontology and Data Modeling will be responsible for partnering with Technology, Machine Learning, and other Capital One teams to support the development and integration of semantic technology into Capital One products and services.

The Senior Manager of Ontology and Data Modeling should be capable of supporting an emerging and evolving semantic program at Capital One, capable of clearly communicating and advocating the value of using semantic technology and knowledge organization concepts.

Primary Responsibilities

• Lead sourcing and synthesis of Data Standardization and Semantics discovery efforts turning insights into actionable strategies that will define the priorities for the team and rally stakeholders to the vision
• Own and prioritize the long-term (12-18 months) Ontology and Data Modeling roadmap to deliver on business outcomes, working closely with a cross-functional team to ensure that all the right resources are aligned to ensure that and your team will be successful
• Define KPIs for Ontology and Data Modeling, measuring and tracking to those measures, with an eye to adjusting and refining the roadmap as the data dictates
• Understand how ontology and data models fis into the larger ecosystem, anticipating impacts from changes in other parts of the business
• Work closely with tech leadership and architecture to understand the tradeoffs of technical decisions and how they impact Ontology and Data modeling as well as consumers
• Communicate and advocate the value of Capital One's efforts in ontologies, semantics, and standardization and proactively leverage relationships throughout the ecosystem to align to your vision and influence prioritization across partner teams
• Attract and retain top talent who can develop, implement and govern ontologies and optimized data models in consultation with stakeholders
• Mentor and develop ontology and data modeling associates throughout their tenure at Capital One
• Contribute to data integration and mapping efforts to harmonize data with Capital One's upper and domain ontologies
• Maintain awareness of competitor and industry developments related to ontology use, knowledge organization, data modeling, and machine learning
• Understand and adhere to W3C standards related to ontologies, in particular RDF, RDFS, OWL, SKOS, and SHACL
• Champion standards, guidelines, and direction for ontology, data modeling, semantics and Data Standardization in general at Capital One

Role-Based Competencies

• Intellectually Curious. You ask why, you explore, you're not afraid to blurt out your crazy idea or follow an email chain for weeks to find someone with an answer. Comfortable with ambiguity, a hunger to learn and a seeker of new challenges.
• Communicator & Influencer. You can communicate complex ideas clearly regardless of your audience. Our team knows their priorities and why theyre doing what theyre doing. You always can rally associates to work with you.
• Do-er. Youre biased toward action, you try things and sometimes you fail. You can get around roadblocks and stay focused on your goals. Youre well organized, able to multitask and able to prioritize your work.
• Passionate & Customer Focus. You care about growing others and bringing them together around whats possible. You get a thrill from the journey of building and shipping products, and you have a desire and ability to connect with our external or internal customers to fully understand their needs.
• Learner. You have an appetite to learn new things or new technologies all while exhibiting humbleness when the time comes to ask for help.
• Team Player. You enjoy working with diverse people and driving the team toward a common goal. You have the ability to put the team before yourself and establish long-lasting relationships.

Basic Qualifications

• Bachelors degree in information science, computer science, engineering, library science, ontology, semantics or computational linguistics
• At least 6 years experience in a metadata field of work (ontology, taxonomy, semantics or computational linguistics)
• At least 6 years experience or training in using W3C standards including linked and canonical data and ontologies ( JSON, XML, RDF, RDFS, OWL, and SKOS)
• At least 4 years experience or training in ontology and linked data tools (Protg, TopQuadrant, PoolParty, Stardog, AnzoGraph, Neptune, or Data.World)
• At least 4 years experience or training with SQL or SPARQL

Preferred Qualifications

• Masters degree or PhD in information science, computer science, engineering, library science, ontology, semantics or computational linguistics
• Experience translating business strategy and analysis into enterprise semantic solutions
• Familiarity with unstructured data
• Familiarity with graph databases and technologies
• Familiarity with Python or R
• Familiarity with JSON, OpenAPI/YAML, AVRO
• Familiarity with Agile principles, processes, and methodologies
• Familiarity with Amazon Web Services
• Detail-oriented and an ability to problem-solve independently
• Strong reading and writing skills
• Strong project management experience
• Excellent communication skills and the ability to present ideas clearly and with confidence.
• Ability to work individually and with a team to meet deadlines

At this time, Capital One will not sponsor a new applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidates offer letter.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description Senior Manager, Ontology and Data Modeling The role of the Senior Manager of Ontology and Data Modeling is to develop, implement, and maintain enterprise ontologies in support of Capital One's Data Strategy. The Senior Manager of Ontology and Data Modeling, as part of Enterprise Products and Platforms, will be responsible for working collaboratively across Capital One Lines of Business and Functions to develop domain ontologies in support of enterprise initiatives. The Senior Manager of Ontology and Data Modeling will be responsible for partnering with Technology, Machine Learning, and other Capital One teams to support the development and integration of semantic technology into Capital One products and services. The Senior Manager of Ontology and Data Modeling should be capable of supporting an emerging and evolving semantic program at Capital One, capable of clearly communicating and advocating the value of using semantic technology and knowledge organization concepts. Primary Responsibilities Lead sourcing and synthesis of Data Standardization and Semantics discovery efforts turning insights into actionable strategies that will define the priorities for the team and rally stakeholders to the vision Own and prioritize the long-term (12-18 months) Ontology and Data Modeling roadmap to deliver on business outcomes, working closely with a cross-functional team to ensure that all the right resources are aligned to ensure that and your team will be successful Define KPIs for Ontology and Data Modeling, measuring and tracking to those measures, with an eye to adjusting and refining the roadmap as the data dictates Understand how ontology and data models fis into the larger ecosystem, anticipating impacts from changes in other parts of the business Work closely with tech leadership and architecture to understand the tradeoffs of technical decisions and how they impact Ontology and Data modeling as well as consumers Communicate and advocate the value of Capital One's efforts in ontologies, semantics, and standardization and proactively leverage relationships throughout the ecosystem to align to your vision and influence prioritization across partner teams Attract and retain top talent who can develop, implement and govern ontologies and optimized data models in consultation with stakeholders Mentor and develop ontology and data modeling associates throughout their tenure at Capital One Contribute to data integration and mapping efforts to harmonize data with Capital One's upper and domain ontologies Maintain awareness of competitor and industry developments related to ontology use, knowledge organization, data modeling, and machine learning Understand and adhere to W3C standards related to ontologies, in particular RDF, RDFS, OWL, SKOS, and SHACL Champion standards, guidelines, and direction for ontology, data modeling, semantics and Data Standardization in general at Capital One Role-Based Competencies Intellectually Curious. You ask why, you explore, you're not afraid to blurt out your crazy idea or follow an email chain for weeks to find someone with an answer. Comfortable with ambiguity, a hunger to learn and a seeker of new challenges. Communicator & Influencer. You can communicate complex ideas clearly regardless of your audience. Our team knows their priorities and why they’re doing what they’re doing. You always can rally associates to work with you. Do-er. You’re biased toward action, you try things and sometimes you fail. You can get around roadblocks and stay focused on your goals. You’re well organized, able to multitask and able to prioritize your work. Passionate & Customer Focus. You care about growing others and bringing them together around what’s possible. You get a thrill from the journey of building and shipping products, and you have a desire and ability to connect with our external or internal customers to fully understand their needs. Learner. You have an appetite to learn new things or new technologies all while exhibiting humbleness when the time comes to ask for help. Team Player. You enjoy working with diverse people and driving the team toward a common goal. You have the ability to put the team before yourself and establish long-lasting relationships. Basic Qualifications Bachelor’s degree in information science, computer science, engineering, library science, ontology, semantics or computational linguistics At least 6 years’ experience in a metadata field of work (ontology, taxonomy, semantics or computational linguistics) At least 6 years’ experience or training in using W3C standards including linked and canonical data and ontologies ( JSON, XML, RDF, RDFS, OWL, and SKOS) At least 4 years’ experience or training in ontology and linked data tools (Protégé, TopQuadrant, PoolParty, Stardog, AnzoGraph, Neptune, or Data.World) At least 4 years’ experience or training with SQL or SPARQL Qualifications Master’s degree or PhD in information science, computer science, engineering, library science, ontology, semantics or computational linguistics Experience translating business strategy and analysis into enterprise semantic solutions Familiarity with unstructured data Familiarity with graph databases and technologies Familiarity with Python or R Familiarity with JSON, OpenAPI/YAML, AVRO Familiarity with Agile principles, processes, and methodologies Familiarity with Amazon Web Services Detail-oriented and an ability to problem-solve independently Strong reading and writing skills Strong project management experience Excellent communication skills and the ability to present ideas clearly and with confidence. Ability to work individually and with a team to meet deadlines At this time, Capital One will not sponsor a new applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $193,000 - $20,300 for Senior Manager, Ontology and Data Modeling McLean, VA: 193,000 - 220,300 for Senior Manager, Ontology and Data Modeling New York, NY: 210,500 - 240,300 for Senior Manager, Ontology and Data Modeling Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to and in the workplace. All qualified applicants will receive consideration for employment without regard to (including , childbirth or related medical conditions), , , , , , , genetic information, marital status, , , reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). #J-18808-Ljbffr

Join to apply for the Senior Data Modeling & Lead Data Scientist - Clearance Required role at LMI

8 months ago Be among the first 25 applicants

Join to apply for the Senior Data Modeling & Lead Data Scientist - Clearance Required role at LMI

Overview

LMI is seeking a seasoned Lead Data Scientist to spearhead the development, testing, and deployment of machine learning (ML) models. These models are crucial for encapsulating extensive discrete event simulation data, aiding a critical supply chain risk program for the Department of Defense.

Overview

LMI is seeking a seasoned Lead Data Scientist to spearhead the development, testing, and deployment of machine learning (ML) models. These models are crucial for encapsulating extensive discrete event simulation data, aiding a critical supply chain risk program for the Department of Defense.

At LMI, were reimagining the path from insight to outcome at The New Speed of Possible. Combining a legacy of over 60 years of federal expertise with our innovation ecosystem, we minimize time to value and accelerate mission success. We energize the brightest minds with emerging technologies to inspire creative solutioning and push the boundaries of capability. LMI advances the pace of progress, enabling our customers to thrive while adapting to evolving mission needs.

Responsibilities

• Direct a dynamic team of data scientists to swiftly develop and implement ML meta models that encapsulate numerous simulated scenarios across a vast inventory of weapon system components
• Apply Design of Experiments (DOE) and meta modeling techniques to accurately represent simulation outputs
• Adapt and enhance established, sophisticated supervised ML models employing tools such as Python, PySpark, and MLflow
• Utilize meta models to facilitate optimization modeling, employing methods such as linear programming and heuristic approaches
• Mentor and lead the team towards enhancing automation, efficiency, and accuracy of meta modeling and optimization solutions
• Collaborate closely with data engineers, UI developers, and domain experts to refine and integrate data science methodologies into an adaptive software ecosystem
• Collaborate closely with peer technical leads to identify priorities, risks and solutions
• Operate proficiently within a Databricks environment, managing code development, testing, and deployment through notebooks
• Manage data science initiatives, ensuring effective coordination and prioritization across multiple team engagements
• Engage with cutting-edge data science techniques to address complex, large-scale data challenges
  
  

• Masters degree in Data Science, Operations Research, or a related field, supplemented by relevant work experience
• Minimum of 10 years experience in a data science capacity
• Extensive experience applying Agile methodologies
• Demonstrates expert-level skills in Python and Spark, with a strong command of cloud-based platforms such as Databricks, enhancing collaborative development and large-scale data processing
• Deep knowledge and practical experience with delivering sophisticated data analysis and machine learning solutions using Python
• Well-versed in using MLflow and comparable tools
• Familiarity with Qlik, React or other data visualization platforms
• Robust analytical, conceptual, and problem-solving skills
• Active DoD Secret clearance required; Top Secret clearance preferred
  
  

• Seniority level Director

• Employment type Full-time

• Job function Research, Analyst, and Information Technology
• Industries Business Consulting and Services

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Were unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Senior Data Modeling & Lead Data Scientist - Clearance Required Join to apply for the Senior Data Modeling & Lead Data Scientist - Clearance Required role at LMI Senior Data Modeling & Lead Data Scientist - Clearance Required 8 months ago Be among the first 25 applicants Join to apply for the Senior Data Modeling & Lead Data Scientist - Clearance Required role at LMI Overview LMI is seeking a seasoned Lead Data Scientist to spearhead the development, testing, and deployment of machine learning (ML) models. These models are crucial for encapsulating extensive discrete event simulation data, aiding a critical supply chain risk program for the Department of Defense. Overview LMI is seeking a seasoned Lead Data Scientist to spearhead the development, testing, and deployment of machine learning (ML) models. These models are crucial for encapsulating extensive discrete event simulation data, aiding a critical supply chain risk program for the Department of Defense. At LMI, we’re reimagining the path from insight to outcome at The New Speed of Possible. Combining a legacy of over 60 years of federal expertise with our innovation ecosystem, we minimize time to value and accelerate mission success. We energize the brightest minds with emerging technologies to inspire creative solutioning and push the boundaries of capability. LMI advances the pace of progress, enabling our customers to thrive while adapting to evolving mission needs. Responsibilities Direct a dynamic team of data scientists to swiftly develop and implement ML meta models that encapsulate numerous simulated scenarios across a vast inventory of weapon system components Apply Design of Experiments (DOE) and meta modeling techniques to accurately represent simulation outputs Adapt and enhance established, sophisticated supervised ML models employing tools such as Python, PySpark, and MLflow Utilize meta models to facilitate optimization modeling, employing methods such as linear programming and heuristic approaches Mentor and lead the team towards enhancing automation, efficiency, and accuracy of meta modeling and optimization solutions Collaborate closely with data engineers, UI developers, and domain experts to refine and integrate data science methodologies into an adaptive software ecosystem Collaborate closely with peer technical leads to identify priorities, risks and solutions Operate proficiently within a Databricks environment, managing code development, testing, and deployment through notebooks Manage data science initiatives, ensuring effective coordination and prioritization across multiple team engagements Engage with cutting-edge data science techniques to address complex, large-scale data challenges Qualifications Masters degree in Data Science, Operations Research, or a related field, supplemented by relevant work experience Minimum of 10 years’ experience in a data science capacity Extensive experience applying Agile methodologies Demonstrates expert-level skills in Python and Spark, with a strong command of cloud-based platforms such as Databricks, enhancing collaborative development and large-scale data processing Deep knowledge and practical experience with delivering sophisticated data analysis and machine learning solutions using Python Well-versed in using MLflow and comparable tools Familiarity with Qlik, React or other data visualization platforms Robust analytical, conceptual, and problem-solving skills Active DoD Secret clearance required; Top Secret clearance preferred Target salary range: $104,040 - $83,600 Disclaimer The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances. Seniority level Seniority level Director Employment type Employment type Full-time Job function Job function Research, Analyst, and Information Technology Industries Business Consulting and Services Referrals increase your chances of interviewing at LMI by 2x Get notified about new Lead Scientist jobs in Tysons Corner, VA . Washington DC-Baltimore Area 159,091.00- 175,000.00 6 days ago Senior Scientist – Dosage Form Design and Development Gaithersburg, MD $1 2,164.00- 168,246.00 2 weeks ago Washington, DC 150,000.00- 210,000.00 1 month ago Senior Environmental Engineer or Scientist (Site Remediation) Chantilly, VA 125,000.00- 160,000.00 1 week ago Senior Environmental Engineer or Scientist (Site Remediation) Arlington, VA 125,000.00- 160,000.00 1 week ago Falls Church, VA 90,000.00- 120,000.00 1 week ago Senior Environmental Engineer or Scientist (Site Remediation) Washington, DC 125,000.00- 160,000.00 1 week ago Senior Environmental Engineer or Scientist (Site Remediation) Director, Principal Patient Safety Scientist Gaithersburg, MD 177,270.00- 265,905.00 2 weeks ago Senior Managing/Principal Food Scientist (Ph.D. or M.S.) 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Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr

Overview LMI is seeking a seasoned Lead Data Scientist to spearhead the development, testing, and deployment of machine learning (ML) models. These models are crucial for encapsulating extensive discrete event simulation data, aiding a critical supply chain risk program for the Department of Defense. Responsibilities Direct a dynamic team of data scientists to swiftly develop and implement ML meta models that encapsulate numerous simulated scenarios across a vast inventory of weapon system components. Apply Design of Experiments (DOE) and meta modeling techniques to accurately represent simulation outputs. Adapt and enhance established, sophisticated supervised ML models employing tools such as Python, PySpark, and MLflow. Utilize meta models to facilitate optimization modeling, employing methods such as linear programming and heuristic approaches. Mentor and lead the team towards enhancing automation, efficiency, and accuracy of meta modeling and optimization solutions. Collaborate closely with data engineers, UI developers, and domain experts to refine and integrate data science methodologies into an adaptive software ecosystem. Collaborate closely with peer technical leads to identify priorities, risks, and solutions. Operate proficiently within a Databricks environment, managing code development, testing, and deployment through notebooks. Manage data science initiatives, ensuring effective coordination and prioritization across multiple team engagements. Engage with cutting-edge data science techniques to address complex, large-scale data challenges. Qualifications Masters degree in Data Science, Operations Research, or a related field, supplemented by relevant work experience. Minimum of 10 years’ experience in a data science capacity. Extensive experience applying Agile methodologies. Demonstrates expert-level skills in Python and Spark, with a strong command of cloud-based platforms such as Databricks, enhancing collaborative development and large-scale data processing. Deep knowledge and practical experience with delivering sophisticated data analysis and machine learning solutions using Python. Well-versed in using MLflow and comparable tools. Familiarity with Qlik, React, or other data visualization platforms. Robust analytical, conceptual, and problem-solving skills. Active DoD Secret clearance; Top Secret clearance preferred. #J-18808-Ljbffr

• Developing sophisticated financial models to support M&A transactions, including DCF, LBO, accretion/dilution, and precedent transaction analyses.
• Performing valuation analyses using various methodologies and market data.
• Conducting in-depth financial due diligence for potential transactions.
• Preparing client presentations, pitch books, and marketing materials.
• Assisting in the origination and execution of M&A deals.
• Managing project timelines and deliverables for multiple transactions simultaneously.
• Building and maintaining strong relationships with clients, targets, and other stakeholders.
• Conducting industry research and market analysis to identify transaction opportunities.
• Assisting with deal structuring, negotiation, and closing processes.
• Staying current with capital markets, economic trends, and regulatory changes affecting M&A.

• Bachelor's degree in Finance, Economics, Accounting, or a related quantitative field; MBA or CFA designation highly preferred.
• 3-5 years of experience in investment banking, corporate finance, private equity, or transaction advisory services.
• Advanced proficiency in financial modeling, valuation techniques, and Microsoft Excel.
• Strong understanding of M&A processes, deal structuring, and corporate finance principles.
• Excellent analytical, quantitative, and problem-solving skills.
• Exceptional written and verbal communication skills, with the ability to present complex financial information clearly.
• High level of attention to detail and accuracy.
• Ability to work effectively under pressure and meet demanding deadlines in a fast-paced team environment.
• Relevant FINRA licenses (e.g., Series 7, 63) are a plus.