67 Chief Scientist jobs in the United States
Chief Scientist (, MA, United States)
Posted 4 days ago
Job Viewed
Job Description
Radiation Monitoring Devices, Inc. (RMD, Watertown, MA), provides a dynamic work environment for performing world-class research and development in the fields of radiation detection and imaging, nuclear instrumentation, and non-destructive test equipment. Since its founding in 1974, RMD’s research and development have resulted in breakthrough technologies and products that are utilized in a wide range of scientific fields, from space exploration to particle physics, and from nuclear security and safeguards to clinical diagnoses and environmental research.
This Chief Scientist role is pivotal to the success of our organization, requiring a proactive and strategic approach to secure funding, foster collaboration, and contribute to the advancement of cutting-edge research. The primary responsibility of a Chief Scientist at RMD is to secure R&D funding through a multifaceted approach, encompassing:
Diversification of Opportunities: Explore non-SBIR bidding opportunities and assemble a team of researchers and engineers to address project requirements. Take a leadership role in preparing and submitting proposals with the support of the team.
Internal collaboration: Foster internal collaboration to address non-SBIR opportunities by forming multifaceted teams of engineers and scientist. Act as a crucial liaison between the VP of Research and the R&D staff to facilitate the efficient execution of projects.
Bidding Initiatives: Engage in strategic efforts to create new or novel opportunities for RMD by traveling to National Laboratories, DOD Bases, DOE, and NIH for bidding purposes. Attend scientific conferences to make presentation on RMD research and to meet with collaborators and agency program managers
Proposal Writing: Craft compelling proposals that effectively communicate project concepts and objectives to secure funding. Collaborate closely with Directors and other R&D staff to develop proposal concepts and assist in the writing and editing of grant applications. Mentor less experienced staff on bidding and proposal writing.
Program Management: Manage various programs to lead them to success with a goal of converting technology into a commercial product.
This position will report directly to the VP of Research and will work closely with the VP of Finance.
Qualifications:
•Proven record of securing funding through non-SBIR sources
•Strong background in radiation detection and instrumentation
•Materials background is a plus
•Excellent oral and written communication skills
•Willingness to travel for bidding purposes
•MS or Ph.D. in relevant fields
RMD is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, or Vietnam era, or other eligible veteran status, or any other protected factor.
#J-18808-LjbffrChief Data Officer (CDO) Chief Scientist
Posted 2 days ago
Job Viewed
Job Description
Title:
Chief Data Officer (CDO) Chief Scientist
Belong. Connect. Grow. with KBR!
KBR's National Security Solutions team provides high-end engineering and advanced technology solutions to our customers in the intelligence and national security communities. In this position, your work will have a profound impact on the country's most critical role - protecting our national security.
Why Join Us?
-
Innovative Projects: KBR's work is at the forefront of engineering, logistics, operations, science, program management, mission IT and cybersecurity solutions.
-
Collaborative Environment: Be part of a dynamic team that thrives on collaboration and innovation, fostering a supportive and intellectually stimulating workplace.
-
Impactful Work: Your contributions will be pivotal in designing and optimizing defense systems that ensure national security and shape the future of space defense.
-
The successfully selected candidate for this Chief Data Officer (CDO) Chief Scientist position will be a full-time employee of the KBR team supporting our Test Resource Management Center's (TRMC) contract with integration of Big Data/Knowledge management project.
-
The CDO Chief Scientist, will be responsible for assessing technology applicable for knowledge management of TRMC business data and investments designed to make technical data more discoverable, accessible, and usable across DoD.
-
The CDO Chief Scientist will work directly with Test and Training ranges, helping CTEIP, JMETC and T&E S&T deploy KM-friendly solutions while delivering pilot and prototype Big Data / Knowledge Management solutions in conjunction with TRMC T&E Big Data Analytics & Knowledge Management initiative.
-
The selected candidate will lead and mentor a cross-organizational team working together to identify barriers and complete required technical work.
-
Develop innovative technical and non-technical solutions and methodologies to DoD-wide problems within internal & external cost/schedule/capability constraints.
-
Work with senior leadership to estimate and plan resources to implement plan across TRMC PE and Service T&E budgets.
-
Advocate and defend big data investment plan with Services/Agencies to ensure successful execution of TRMC's big data initiative.
-
Communicate TRMC vision for big data in DoD Strategic Plan for T&E Resources and appropriate DoD T&E community forums.
-
Become established as a functional authority on big data investments in the T&E community.
-
These solutions will serve as the basis of a major, multi-year investment that will streamline knowledge management and data analysis across the Department.
Must have the following:
-
Education: Technical Masters' Degree
-
Minimum of 12 years' experience to include the following: a. DoD Testing and Training Ranges, b. Military Instrumentation Systems c. Data Analysis
-
Digital Transformation, SaaS Solutions, Automation, Data Analytics, and Artificial Intelligence
-
Strategic Planning and Leadership
-
Coordination, Communication and Presentation skills
-
Ability to obtain a Top Secret Clearance
Prefer Knowledge in any or all of the following:
-
Education: Technical PHD
-
Modeling and Simulation (M&S)
-
Live, Virtual and Constructive (LVC) Environments
-
Test Analysis and Test Planning
-
DREN, SDREN and DISN engineering experience
-
Middleware protocols- HLA, DIS and TENA
-
TRMC, CTEIP and S&T Programs
-
DoD Programs and Acquisition process
-
Testing in Distributed Exercises/Events
-
CHEETAS
Belong, Connect and Grow at KBRAt KBR, we are passionate about our people and our Zero Harm culture. These inform all that we do and are at the heart of our commitment to, and ongoing journey toward being a People First company. That commitment is central to our team of team's philosophy and fosters an environment where everyone can Belong, Connect and Grow. We Deliver - Together.
KBR is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.
Chief Data Officer (CDO) Chief Scientist

Posted 2 days ago
Job Viewed
Job Description
Chief Data Officer (CDO) Chief Scientist
Belong. Connect. Grow. with KBR!
KBR's National Security Solutions team provides high-end engineering and advanced technology solutions to our customers in the intelligence and national security communities. In this position, your work will have a profound impact on the country's most critical role - protecting our national security.
Why Join Us?
+ Innovative Projects: KBR's work is at the forefront of engineering, logistics, operations, science, program management, mission IT and cybersecurity solutions.
+ Collaborative Environment: Be part of a dynamic team that thrives on collaboration and innovation, fostering a supportive and intellectually stimulating workplace.
+ Impactful Work: Your contributions will be pivotal in designing and optimizing defense systems that ensure national security and shape the future of space defense.
+ The successfully selected candidate for this Chief Data Officer (CDO) Chief Scientist position will be a full-time employee of the KBR team supporting our Test Resource Management Center's (TRMC) contract with integration of Big Data/Knowledge management project.
+ The CDO Chief Scientist, will be responsible for assessing technology applicable for knowledge management of TRMC business data and investments designed to make technical data more discoverable, accessible, and usable across DoD.
+ The CDO Chief Scientist will work directly with Test and Training ranges, helping CTEIP, JMETC and T&E S&T deploy KM-friendly solutions while delivering pilot and prototype Big Data / Knowledge Management solutions in conjunction with TRMC T&E Big Data Analytics & Knowledge Management initiative.
+ The selected candidate will lead and mentor a cross-organizational team working together to identify barriers and complete required technical work.
+ Develop innovative technical and non-technical solutions and methodologies to DoD-wide problems within internal & external cost/schedule/capability constraints.
+ Work with senior leadership to estimate and plan resources to implement plan across TRMC PE and Service T&E budgets.
+ Advocate and defend big data investment plan with Services/Agencies to ensure successful execution of TRMC's big data initiative.
+ Communicate TRMC vision for big data in DoD Strategic Plan for T&E Resources and appropriate DoD T&E community forums.
+ Become established as a functional authority on big data investments in the T&E community.
+ These solutions will serve as the basis of a major, multi-year investment that will streamline knowledge management and data analysis across the Department.
Must have the following:
+ Education: Technical Masters' Degree
+ Minimum of 12 years' experience to include the following: a. DoD Testing and Training Ranges, b. Military Instrumentation Systems c. Data Analysis
+ Digital Transformation, SaaS Solutions, Automation, Data Analytics, and Artificial Intelligence
+ Strategic Planning and Leadership
+ Coordination, Communication and Presentation skills
+ Ability to obtain a Top Secret Clearance
Prefer Knowledge in any or all of the following:
+ Education: Technical PHD
+ Modeling and Simulation (M&S)
+ Live, Virtual and Constructive (LVC) Environments
+ Test Analysis and Test Planning
+ DREN, SDREN and DISN engineering experience
+ Middleware protocols- HLA, DIS and TENA
+ TRMC, CTEIP and S&T Programs
+ DoD Programs and Acquisition process
+ Testing in Distributed Exercises/Events
+ CHEETAS
Belong, Connect and Grow at KBRAt KBR, we are passionate about our people and our Zero Harm culture. These inform all that we do and are at the heart of our commitment to, and ongoing journey toward being a People First company. That commitment is central to our team of team's philosophy and fosters an environment where everyone can Belong, Connect and Grow. We Deliver - Together.
KBR is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.
Chief Scientist for AI-enabled Cyber Systems

Posted today
Job Viewed
Job Description
Department Summary:
MITRE's Offensive Operations & Effects department, part of the Cyber Operations & Effects Innovation Center, enables cyber operations by applying software and hardware techniques and solutions. Our evaluations, rapid prototypes, and tools development provide unprecedented capabilities designed to be applied to real-world missions. Our experts provide cyber capabilities including support to operations, reverse engineering, and digital forensics expertise, while drawing on other expertise as required for specific missions or adversaries. One area of focus is applying data science, AI and autonomy, and ML methods to technology and operations across the spectrum of activities in Cyber Operations.
Roles & Responsibilities:
MITRE is seeking strong technical candidates with a background in the cyber domain, specifically cyber operations, with experience in the application of Artificial Intelligence, Data Science, Machine Learning, Robotics, or related disciplines, to join the division's senior technical staff representing the department's focus area of AI, ML, and autonomy in Cyber Operations.
Activities
+ R&D at the intersection of autonomy, AI, and ML and cyber operations
+ Design and develop automated decision-making and control methods for cyber systems
+ Design and develop applied AI solutions for decision support and human-machine teaming
+ Knowledge Engineering (e.g. knowledge graphs, ontologies, etc.)
+ Setting direction for the division and influencing MITRE Labs and direct work programs on the convergence of AI and Cyber Operations across Research, capability development, and direct programs.
Basic Qualifications:
+ Typically requires a minimum of 10 years of related experience with a Bachelor's degree; or 8 years and a Master's degree; or a PhD with 5 years' experience; or equivalent combination of related education and work experience in cyber ops and/or Autonomy/AI/ML.
+ For cyber primary: coursework in data science or machine learning
+ For AI primary: linear algebra; project work in standard ML libraries; cyber applications/topic familiarity
+ Technical experience applying AI/ML methods to cyber domain problems.
+ Must be US citizen with a TS security clearance.
+ Excellent written, oral, and interpersonal communication skills and a keen desire to learn.
+ An open attitude to promoting the work of others.
+ This position requires a minimum of 50% hybrid on-site
Preferred Qualifications:
+ Strong knowledge of programming languages and scripting tools. (e.g., Python, Rust, Go, C/C++)
+ Strong Familiarity with AI/ML methods and stacks for deep learning, large language models, reinforcement learning, classification, etc.
+ Experience applying AI/ML methods and stacks for deep learning, large language models, reinforcement learning, classification, etc. to problems in the cyber operations domain.
+ Experience with agent-based systems and automated planning.
+ Experience with modeling and simulation for AI development.
+ Experience with ML frameworks (numpy, tensorflow, keras, pytorch, RayLib, etc.)
+ Experience developing/leveraging AI gym environments.
+ Able to obtain TS/SCI Clearance
This requisition requires the candidate to have a minimum of the following clearance(s):
Top Secret
This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s):
Top Secret
Salary compensation range and midpoint:
$172,500 - $15,500 - 258,500 Annual
Work Location Type:
Hybrid
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local or international law.
MITRE intends to maintain a website that is fully accessible to all individuals. If you are unable to search or apply for jobs and would like to request a reasonable accommodation for any part of MITRE's employment process, please email for general support and for intern positions. This service is for individuals requiring reasonable accommodation requests. Please note that vendor solicitations will not receive a reply.
Benefits information may be found here ( .
Copyright © 1997-2025, The MITRE Corporation. All rights reserved. MITRE is a registered trademark of The MITRE Corporation. Material on this site may be copied and distributed with permission only.
Chief Scientist for AI-enabled Cyber Systems
Posted 7 days ago
Job Viewed
Job Description
Department Summary:
MITRE's Offensive Operations & Effects department, part of the Cyber Operations & Effects Innovation Center, enables cyber operations by applying software and hardware techniques and solutions. Our evaluations, rapid prototypes, and tools development provide unprecedented capabilities designed to be applied to real-world missions. Our experts provide cyber capabilities including support to operations, reverse engineering, and digital forensics expertise, while drawing on other expertise as required for specific missions or adversaries. One area of focus is applying data science, AI and autonomy, and ML methods to technology and operations across the spectrum of activities in Cyber Operations.
Roles & Responsibilities:
MITRE is seeking strong technical candidates with a background in the cyber domain, specifically cyber operations, with experience in the application of Artificial Intelligence, Data Science, Machine Learning, Robotics, or related disciplines, to join the division's senior technical staff representing the department's focus area of AI, ML, and autonomy in Cyber Operations.
Activities
+ R&D at the intersection of autonomy, AI, and ML and cyber operations
+ Design and develop automated decision-making and control methods for cyber systems
+ Design and develop applied AI solutions for decision support and human-machine teaming
+ Knowledge Engineering (e.g. knowledge graphs, ontologies, etc.)
+ Setting direction for the division and influencing MITRE Labs and direct work programs on the convergence of AI and Cyber Operations across Research, capability development, and direct programs.
Basic Qualifications:
+ Typically requires a minimum of 10 years of related experience with a Bachelor's degree; or 8 years and a Master's degree; or a PhD with 5 years' experience; or equivalent combination of related education and work experience in cyber ops and/or Autonomy/AI/ML.
+ For cyber primary: coursework in data science or machine learning
+ For AI primary: linear algebra; project work in standard ML libraries; cyber applications/topic familiarity
+ Technical experience applying AI/ML methods to cyber domain problems.
+ Must be US citizen with a TS security clearance.
+ Excellent written, oral, and interpersonal communication skills and a keen desire to learn.
+ An open attitude to promoting the work of others.
+ This position requires a minimum of 50% hybrid on-site
Preferred Qualifications:
+ Strong knowledge of programming languages and scripting tools. (e.g., Python, Rust, Go, C/C++)
+ Strong Familiarity with AI/ML methods and stacks for deep learning, large language models, reinforcement learning, classification, etc.
+ Experience applying AI/ML methods and stacks for deep learning, large language models, reinforcement learning, classification, etc. to problems in the cyber operations domain.
+ Experience with agent-based systems and automated planning.
+ Experience with modeling and simulation for AI development.
+ Experience with ML frameworks (numpy, tensorflow, keras, pytorch, RayLib, etc.)
+ Experience developing/leveraging AI gym environments.
+ Able to obtain TS/SCI Clearance
This requisition requires the candidate to have a minimum of the following clearance(s):
Top Secret
This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s):
Top Secret
Salary compensation range and midpoint:
$172,500 - $15,500 - 258,500 Annual
Work Location Type:
Hybrid
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local or international law.
MITRE intends to maintain a website that is fully accessible to all individuals. If you are unable to search or apply for jobs and would like to request a reasonable accommodation for any part of MITRE's employment process, please email for general support and for intern positions. This service is for individuals requiring reasonable accommodation requests. Please note that vendor solicitations will not receive a reply.
Benefits information may be found here ( .
Copyright © 1997-2025, The MITRE Corporation. All rights reserved. MITRE is a registered trademark of The MITRE Corporation. Material on this site may be copied and distributed with permission only.
Chief Scientist for AI-enabled Cyber Systems
Posted 7 days ago
Job Viewed
Job Description
Department Summary:
MITRE's Offensive Operations & Effects department, part of the Cyber Operations & Effects Innovation Center, enables cyber operations by applying software and hardware techniques and solutions. Our evaluations, rapid prototypes, and tools development provide unprecedented capabilities designed to be applied to real-world missions. Our experts provide cyber capabilities including support to operations, reverse engineering, and digital forensics expertise, while drawing on other expertise as required for specific missions or adversaries. One area of focus is applying data science, AI and autonomy, and ML methods to technology and operations across the spectrum of activities in Cyber Operations.
Roles & Responsibilities:
MITRE is seeking strong technical candidates with a background in the cyber domain, specifically cyber operations, with experience in the application of Artificial Intelligence, Data Science, Machine Learning, Robotics, or related disciplines, to join the division's senior technical staff representing the department's focus area of AI, ML, and autonomy in Cyber Operations.
Activities
+ R&D at the intersection of autonomy, AI, and ML and cyber operations
+ Design and develop automated decision-making and control methods for cyber systems
+ Design and develop applied AI solutions for decision support and human-machine teaming
+ Knowledge Engineering (e.g. knowledge graphs, ontologies, etc.)
+ Setting direction for the division and influencing MITRE Labs and direct work programs on the convergence of AI and Cyber Operations across Research, capability development, and direct programs.
Basic Qualifications:
+ Typically requires a minimum of 10 years of related experience with a Bachelor's degree; or 8 years and a Master's degree; or a PhD with 5 years' experience; or equivalent combination of related education and work experience in cyber ops and/or Autonomy/AI/ML.
+ For cyber primary: coursework in data science or machine learning
+ For AI primary: linear algebra; project work in standard ML libraries; cyber applications/topic familiarity
+ Technical experience applying AI/ML methods to cyber domain problems.
+ Must be US citizen with a TS security clearance.
+ Excellent written, oral, and interpersonal communication skills and a keen desire to learn.
+ An open attitude to promoting the work of others.
+ This position requires a minimum of 50% hybrid on-site
Preferred Qualifications:
+ Strong knowledge of programming languages and scripting tools. (e.g., Python, Rust, Go, C/C++)
+ Strong Familiarity with AI/ML methods and stacks for deep learning, large language models, reinforcement learning, classification, etc.
+ Experience applying AI/ML methods and stacks for deep learning, large language models, reinforcement learning, classification, etc. to problems in the cyber operations domain.
+ Experience with agent-based systems and automated planning.
+ Experience with modeling and simulation for AI development.
+ Experience with ML frameworks (numpy, tensorflow, keras, pytorch, RayLib, etc.)
+ Experience developing/leveraging AI gym environments.
+ Able to obtain TS/SCI Clearance
This requisition requires the candidate to have a minimum of the following clearance(s):
Top Secret
This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s):
Top Secret
Salary compensation range and midpoint:
$172,500 - $15,500 - 258,500 Annual
Work Location Type:
Hybrid
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local or international law.
MITRE intends to maintain a website that is fully accessible to all individuals. If you are unable to search or apply for jobs and would like to request a reasonable accommodation for any part of MITRE's employment process, please email for general support and for intern positions. This service is for individuals requiring reasonable accommodation requests. Please note that vendor solicitations will not receive a reply.
Benefits information may be found here ( .
Copyright © 1997-2025, The MITRE Corporation. All rights reserved. MITRE is a registered trademark of The MITRE Corporation. Material on this site may be copied and distributed with permission only.
Chief Data Officer (CDO) Chief Scientist (Alexandria)
Posted today
Job Viewed
Job Description
Title: Chief Data Officer (CDO) Chief Scientist
Belong. Connect. Grow. with KBR!
KBR’s National Security Solutions team provides high-end engineering and advanced technology solutions to our customers in the intelligence and national security communities. In this position, your work will have a profound impact on the country’s most critical role – protecting our national security.
Why Join Us?
- Innovative Projects: KBR’s work is at the forefront of engineering, logistics, operations, science, program management, mission IT, and cybersecurity solutions.
- Collaborative Environment: Be part of a dynamic team that thrives on collaboration and innovation, fostering a supportive and intellectually stimulating workplace.
- Impactful Work: Your contributions will be pivotal in designing and optimizing defense systems that ensure national security and shape the future of space defense.
Position Overview:
- The selected candidate for the Chief Data Officer (CDO) Chief Scientist role will be a full-time employee supporting the Test Resource Management Center’s (TRMC) contract, focusing on integrating Big Data and Knowledge Management projects.
- The CDO Chief Scientist will assess technology applicable for knowledge management of TRMC business data and investments, making technical data more discoverable, accessible, and usable across the Department of Defense (DoD).
- The role involves working directly with Test and Training ranges, aiding CTEIP, JMETC, and T&E S&T in deploying knowledge management solutions and delivering pilot and prototype Big Data/Knowledge Management solutions.
- The candidate will lead and mentor a cross-organizational team to identify barriers and complete technical work.
- Develop innovative technical and non-technical solutions for DoD-wide problems within cost, schedule, and capability constraints.
- Work with senior leadership to estimate and plan resources for implementation across TRMC PE and Service T&E budgets.
- Advocate for and defend big data investment plans with Services/Agencies to ensure successful execution.
- Communicate TRMC’s vision for big data in the DoD Strategic Plan for T&E Resources and forums.
- Establish as a functional authority on big data investments within the T&E community.
- These solutions will serve as the basis of a major, multi-year investment to streamline knowledge management and data analysis across the Department.
Must Have:
- Technical Master’s Degree
- At least 12 years of experience including DoD Testing and Training Ranges, Military Instrumentation Systems, Data Analysis
- Experience with Digital Transformation, SaaS Solutions, Automation, Data Analytics, and AI
- Strategic Planning and Leadership skills
- Excellent coordination, communication, and presentation skills
- U.S. Citizenship
- Ability to obtain Top Secret Clearance
Preferred Knowledge:
- Technical PhD
- Modeling and Simulation (M&S), Live Virtual and Constructive (LVC) Environments, Test Analysis and Planning
- Experience with DREN, SDREN, DISN, Middleware protocols (HLA, DIS, TENA)
- Familiarity with TRMC, CTEIP, S&T Programs, DoD Acquisition process
- Experience in Distributed Exercises/Events, CHEETAS
Belong, Connect, and Grow at KBR
We are committed to our Zero Harm culture and being a People First company, fostering an environment where everyone can Belong, Connect, and Grow. We Deliver – Together.
KBR is an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status, or any characteristic protected by law.
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Chief Data Scientist
Posted today
Job Viewed
Job Description
time left to apply End Date: August 4, 2025 (18 days left to apply) job requisition id JR-153300 Who are we? Equinix is the world’s digital infrastructure company , operating over 26 0 data centers across the globe . Digital leaders harness Equinix's trusted platform to bring together and interconnect foundational infrastructure at software speed. Equinix enables organizations to access all the right places, partners and possibilities to scale with agility, speed the launch of digital services, deliver world-class experiences and multiply their value, while supporting their sustainability goals. A career at Equinix means you will collaborate on work that impacts the world and be surrounded by endless opportunities to learn new skills and grow in varied directions. We embrace diversity in thought and contribution and are committed to providing an equitable work environment that is foundational to our core values as a company and is vital to our success. Role Summary The Chief Data Scientist will lead our global data science organization through bold and visionary-focused execution. This role is mission critical to driving transformative value through AI and machine learning. The Chief Data Scientist will be a core part of the Digital and Innovation Office Leadership team delivering operational excellence, enhancing customer experiences and unlocking new revenue streams at the executive level of the organization to set the course and strategy for the broader organization. Responsibilities Strategic Leadership Define and champion the enterprise-wide data science strategy aligned to business priorities and digital transformation Act as the senior-most technical authority on AI, ML, and advanced analytics initiatives Partner with E-Team leaders to embed data science into strategic roadmaps Develop advanced AI/ML models that deliver measurable outcomes across productivity, automation, and customer insights Enable enterprise-scale AI, ensuring robust MLOps, data governance, and ethical AI principles across geographies and platforms, in partnership with the broader Data team Ownership of a global data science agenda with ability to influence the executive leadership to shape the future of digital infrastructure through AI Partner with business and digital product teams to design AI-powered services that strengthen Equinix’s revenue-generating offerings and helping sales and marketing with cross-sell and upsell and base management Collaborate on strategic AI partnerships with hyperscalers, chipset providers, and leading research institutions Collaborating across the organization and utilizing access to unparalled datasets and technology partnerships to drive an enterprise-wide transformation Anticipate external factors and have insight into cutting edge technology and strategy to inform partnerships in AI solutions Team & capability building Build and lead a high-performing, diverse global team of data scientists, ML engineers, and research scientists Establish standards for model development, validation, deployment, and ethical AI practices Develop talent pathways for emerging data science talent and foster a strong internal community of practice Lead and evolve the global data science function, shaping team structure, talent strategy, and operating models to meet future need Drive impact across internal operations, including predictive maintenance, energy efficiency, supply chain optimization, and digital twin modeling Stay ahead of industry trends and translate cutting-edge developments into actionable strategies Influence executive leadership and broader teams indirectly and directly through clearly communicated and relatable strategy and north star Qualifications Essential skills, knowledge and experience Strong intellect, with deep technical foundation in Data Science, Computer Science, Statistics, Physics, Engineering, Applied Math or a related field. Master’s or PhD preferred Strong business acumen and ability to bridge strategic vision with operational delivery 20+ years of experience in data science, with at least 5 in a senior global leadership role Proven track record of leading multiple successful AI/ML programs from project initiation through development and implementation, with quantified success metrics Verified experience of applying advanced analytics capabilities to solve ambiguous and complex business problems at global scale, in complex distributed enterprise – ideally across infrastructure, cloud, SaaS environments 20+ years of progressive leadership experience in technology, digital, innovation, or enterprise operations in a large-scale, complex international B2B technology-centric organization Demonstrated track record in operating model design, enterprise transformation, or technology business management Deep understanding of modern technology operating models including Agile, product-centricity, data-driven decision making, and cloud-native architecture Skills and Attributes Excellent communication and interpersonal skills, with the ability to influence and engage stakeholders at all levels and and articulate complex technical or mathematical concepts into clear business language Strategic thinker with a customer-centric mindset, passion for innovation and capability in story telling Can bring together multiple initiatives into a cohesive plan and influence key decision makers along the way Leadership characteristics Is a transformational leader who excels at driving bold and meaningful change at scale and across multiple dimensions Leads with a global mindset, across cultures, in a highly matrixed, relationship and consensus-driven environment Cultivates Innovation – Creates new and better ways for the organization to be successful. Fosters a climate where innovation can thrive. Encourages innovative risk taking and embraces failure as a part of innovation The United States targeted pay range for this position in the following location is / locations are: San Francisco, CA / Bay Area: $307,000 to $61,000 per year California (Non-SF/Bay Area), Connecticut, Maryland, New York, New Jersey, Washington state: 274,000 to 410,000 per year Colorado, Nevada, Rhode Island: 274,000 to 410,000 per year Our pay ranges reflect the minimum and maximum target for new hire pay for the full-time position determined by role, level, and location. Individual pay is based on additional factors including job-related skills, experience, and relevant education and/or training. This position may be offered in other locations. Your recruiter can share more about the specific pay range for your preferred location during the hiring process. The targeted pay range listed reflects the base pay only and does not include bonus, equity, or benefits. Employees are eligible for bonus, and equity may be offered depending on the position. As an employee, you become important to Equinix’s success. Details about our company benefits can be found at the following link: USA Benefits eBook Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability. If you are a qualified candidate and need assistance or an accommodation, please let us know by completing this form . Equinix is an Equal Employment Opportunity and, in the U.S., an Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law. #J-18808-Ljbffr
Chief Data Scientist
Posted 2 days ago
Job Viewed
Job Description
Who are we?
Equinix is the world's digital infrastructure company, operating over 260data centers across the globe. Digital leaders harness Equinix's trusted platform to bring together and interconnect foundational infrastructure at software speed. Equinix enables organizations to access all the right places, partners and possibilities to scale with agility, speed the launch of digital services, deliver world-class experiences and multiply their value, while supporting their sustainability goals.
A career at Equinix means you will collaborate on work that impacts the world and be surrounded by endless opportunities to learn new skills and grow in varied directions.We embrace diversity in thought and contribution and are committed to providingan equitable work environment that is foundational to our core values as a company and is vital to our success.
Role Summary
The Chief Data Scientist will lead our global data science organization through bold and visionary-focused execution. This role is mission critical to driving transformative value through AI and machine learning.
The Chief Data Scientist will be a core part of the Digital and Innovation Office Leadership team delivering operational excellence, enhancing customer experiences and unlocking new revenue streams at the executive level of the organization to set the course and strategy for the broader organization.
Responsibilities
Strategic Leadership
-
Define and champion the enterprise-wide data science strategy aligned to business priorities and digital transformation
-
Act as the senior-most technical authority on AI, ML, and advanced analytics initiatives
-
Partner with E-Team leaders to embed data science into strategic roadmaps
AI / ML Strategy
-
Develop advanced AI/ML models that deliver measurable outcomes across productivity, automation, and customer insights
-
Enable enterprise-scale AI, ensuring robust MLOps, data governance, and ethical AI principles across geographies and platforms, in partnership with the broader Data team
-
Ownership of a global data science agenda with ability to influence the executive leadership to shape the future of digital infrastructure through AI
Partnership & Collaboration
-
Partner with business and digital product teams to design AI-powered services that strengthen Equinix's revenue-generating offerings and helping sales and marketing with cross-sell and upsell and base management
Collaborate on strategic AI partnerships with hyperscalers, chipset providers, and leading research institutions
-
Collaborating across the organization and utilizing access to unparalled datasets and technology partnerships to drive an enterprise-wide transformation
-
Anticipate external factors and have insight into cutting edge technology and strategy to inform partnerships in AI solutions
Team & capability building
Build and lead a high-performing, diverse global team of data scientists, ML engineers, and research scientists
-
Establish standards for model development, validation, deployment, and ethical AI practices
-
Develop talent pathways for emerging data science talent and foster a strong internal community of practice
-
Lead and evolve the global data science function, shaping team structure, talent strategy, and operating models to meet future need
-
Drive impact across internal operations, including predictive maintenance, energy efficiency, supply chain optimization, and digital twin modeling
-
Stay ahead of industry trends and translate cutting-edge developments into actionable strategies
-
Influence executive leadership and broader teams indirectly and directly through clearly communicated and relatable strategy and north star
Qualifications
Essential skills, knowledge and experience
-
Strong intellect, with deep technical foundation in Data Science, Computer Science, Statistics, Physics, Engineering, Applied Math or a related field. Master's or PhD preferred
-
Strong business acumen and ability to bridge strategic vision with operational delivery 20+ years of experience in data science, with at least 5 in a senior global leadership role
-
Proven track record of leading multiple successful AI/ML programs from project initiation through development and implementation, with quantified success metrics
-
Verified experience of applying advanced analytics capabilities to solve ambiguous and complex business problems at global scale, in complex distributed enterprise - ideally across infrastructure, cloud, SaaS environments
-
20+ years of progressive leadership experience in technology, digital, innovation, or
-
enterprise operations in a large-scale, complex international B2B technology-centric organization
-
Demonstrated track record in operating model design, enterprise transformation, or technology business management
-
Deep understanding of modern technology operating models including Agile, product-centricity, data-driven decision making, and cloud-native architecture
Skills and Attributes
-
Excellent communication and interpersonal skills, with the ability to influence and engage stakeholders at all levels and and articulate complex technical or mathematical concepts into clear business language
-
Strategic thinker with a customer-centric mindset, passion for innovation and capability in story telling
-
Can bring together multiple initiatives into a cohesive plan and influence key decision makers along the way
Leadership characteristics
-
Is a transformational leader who excels at driving bold and meaningful change at scale and across multiple dimensions
-
Leads with a global mindset, across cultures, in a highly matrixed, relationship and consensus-driven environment
-
Cultivates Innovation - Creates new and better ways for the organization to be successful. Fosters a climate where innovation can thrive. Encourages innovative risk taking and embraces failure as a part of innovation
The United States targeted pay range for this position in the following location is / locations are:
-
San Francisco, CA / Bay Area: $307,000 to $61,000 per year
-
California (Non-SF/Bay Area), Connecticut, Maryland, New York, New Jersey, Washington state: 274,000 to 410,000 per year
-
Colorado, Nevada, Rhode Island: 274,000 to 410,000 per year
Our pay ranges reflect the minimum and maximum target for new hire pay for the full-time position determined by role, level, and location. Individual pay is based on additional factors including job-related skills, experience, and relevant education and/or training.
This position may be offered in other locations. Your recruiter can share more about the specific pay range for your preferred location during the hiring process.
The targeted pay range listed reflects the base pay only and does not include bonus, equity, or benefits. Employees are eligible for bonus, and equity may be offered depending on the position.
As an employee, you become important to Equinix's success. Details about our company benefits can be found at the following link:
USA Benefits eBook
Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability. If you are a qualified candidate and need assistance or an accommodation, please let us know by completing this form.
Equinix is an Equal Employment Opportunity and, in the U.S., an Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law.
The United States targeted pay range for this position in the following location is / locations are:
San Francisco, CA / Bay Area: 307,000 to 461,000 per year
-
California (Non-SF/Bay Area), Connecticut, Maryland, New York, New Jersey, Washington state: 274,000 to 410,000 per year
-
Colorado, Nevada, Rhode Island: 274,000 to 410,000 per year
Our pay ranges reflect the minimum and maximum target for new hire pay for the full-time position determined by role, level, and location. Individual pay is based on additional factors including job-related skills, experience, and relevant education and/or training.
This position may be offered in other locations. Your recruiter can share more about the specific pay range for your preferred location during the hiring process.
The targeted pay range listed reflects the base pay only and does not include bonus, equity, or benefits. Employees are eligible for bonus, and equity may be offered depending on the position.
As an employee, you become important to Equinix's success. Details about our company benefits can be found at the following link:
USA Benefits eBook
Chief Data Scientist
Posted 2 days ago
Job Viewed
Job Description
Who are we?
Equinix is the world's digital infrastructure company, operating over 260data centers across the globe. Digital leaders harness Equinix's trusted platform to bring together and interconnect foundational infrastructure at software speed. Equinix enables organizations to access all the right places, partners and possibilities to scale with agility, speed the launch of digital services, deliver world-class experiences and multiply their value, while supporting their sustainability goals.
A career at Equinix means you will collaborate on work that impacts the world and be surrounded by endless opportunities to learn new skills and grow in varied directions.We embrace diversity in thought and contribution and are committed to providingan equitable work environment that is foundational to our core values as a company and is vital to our success.
Role Summary
The Chief Data Scientist will lead our global data science organization through bold and visionary-focused execution. This role is mission critical to driving transformative value through AI and machine learning.
The Chief Data Scientist will be a core part of the Digital and Innovation Office Leadership team delivering operational excellence, enhancing customer experiences and unlocking new revenue streams at the executive level of the organization to set the course and strategy for the broader organization.
Responsibilities
Strategic Leadership
-
Define and champion the enterprise-wide data science strategy aligned to business priorities and digital transformation
-
Act as the senior-most technical authority on AI, ML, and advanced analytics initiatives
-
Partner with E-Team leaders to embed data science into strategic roadmaps
AI / ML Strategy
-
Develop advanced AI/ML models that deliver measurable outcomes across productivity, automation, and customer insights
-
Enable enterprise-scale AI, ensuring robust MLOps, data governance, and ethical AI principles across geographies and platforms, in partnership with the broader Data team
-
Ownership of a global data science agenda with ability to influence the executive leadership to shape the future of digital infrastructure through AI
Partnership & Collaboration
-
Partner with business and digital product teams to design AI-powered services that strengthen Equinix's revenue-generating offerings and helping sales and marketing with cross-sell and upsell and base management
Collaborate on strategic AI partnerships with hyperscalers, chipset providers, and leading research institutions
-
Collaborating across the organization and utilizing access to unparalled datasets and technology partnerships to drive an enterprise-wide transformation
-
Anticipate external factors and have insight into cutting edge technology and strategy to inform partnerships in AI solutions
Team & capability building
Build and lead a high-performing, diverse global team of data scientists, ML engineers, and research scientists
-
Establish standards for model development, validation, deployment, and ethical AI practices
-
Develop talent pathways for emerging data science talent and foster a strong internal community of practice
-
Lead and evolve the global data science function, shaping team structure, talent strategy, and operating models to meet future need
-
Drive impact across internal operations, including predictive maintenance, energy efficiency, supply chain optimization, and digital twin modeling
-
Stay ahead of industry trends and translate cutting-edge developments into actionable strategies
-
Influence executive leadership and broader teams indirectly and directly through clearly communicated and relatable strategy and north star
Qualifications
Essential skills, knowledge and experience
-
Strong intellect, with deep technical foundation in Data Science, Computer Science, Statistics, Physics, Engineering, Applied Math or a related field. Master's or PhD preferred
-
Strong business acumen and ability to bridge strategic vision with operational delivery 20+ years of experience in data science, with at least 5 in a senior global leadership role
-
Proven track record of leading multiple successful AI/ML programs from project initiation through development and implementation, with quantified success metrics
-
Verified experience of applying advanced analytics capabilities to solve ambiguous and complex business problems at global scale, in complex distributed enterprise - ideally across infrastructure, cloud, SaaS environments
-
20+ years of progressive leadership experience in technology, digital, innovation, or
-
enterprise operations in a large-scale, complex international B2B technology-centric organization
-
Demonstrated track record in operating model design, enterprise transformation, or technology business management
-
Deep understanding of modern technology operating models including Agile, product-centricity, data-driven decision making, and cloud-native architecture
Skills and Attributes
-
Excellent communication and interpersonal skills, with the ability to influence and engage stakeholders at all levels and and articulate complex technical or mathematical concepts into clear business language
-
Strategic thinker with a customer-centric mindset, passion for innovation and capability in story telling
-
Can bring together multiple initiatives into a cohesive plan and influence key decision makers along the way
Leadership characteristics
-
Is a transformational leader who excels at driving bold and meaningful change at scale and across multiple dimensions
-
Leads with a global mindset, across cultures, in a highly matrixed, relationship and consensus-driven environment
-
Cultivates Innovation - Creates new and better ways for the organization to be successful. Fosters a climate where innovation can thrive. Encourages innovative risk taking and embraces failure as a part of innovation
The United States targeted pay range for this position in the following location is / locations are:
-
San Francisco, CA / Bay Area: $307,000 to $61,000 per year
-
California (Non-SF/Bay Area), Connecticut, Maryland, New York, New Jersey, Washington state: 274,000 to 410,000 per year
-
Colorado, Nevada, Rhode Island: 274,000 to 410,000 per year
Our pay ranges reflect the minimum and maximum target for new hire pay for the full-time position determined by role, level, and location. Individual pay is based on additional factors including job-related skills, experience, and relevant education and/or training.
This position may be offered in other locations. Your recruiter can share more about the specific pay range for your preferred location during the hiring process.
The targeted pay range listed reflects the base pay only and does not include bonus, equity, or benefits. Employees are eligible for bonus, and equity may be offered depending on the position.
As an employee, you become important to Equinix's success. Details about our company benefits can be found at the following link:
USA Benefits eBook
Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability. If you are a qualified candidate and need assistance or an accommodation, please let us know by completing this form.
Equinix is an Equal Employment Opportunity and, in the U.S., an Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law.
The United States targeted pay range for this position in the following location is / locations are:
San Francisco, CA / Bay Area: 307,000 to 461,000 per year
-
California (Non-SF/Bay Area), Connecticut, Maryland, New York, New Jersey, Washington state: 274,000 to 410,000 per year
-
Colorado, Nevada, Rhode Island: 274,000 to 410,000 per year
Our pay ranges reflect the minimum and maximum target for new hire pay for the full-time position determined by role, level, and location. Individual pay is based on additional factors including job-related skills, experience, and relevant education and/or training.
This position may be offered in other locations. Your recruiter can share more about the specific pay range for your preferred location during the hiring process.
The targeted pay range listed reflects the base pay only and does not include bonus, equity, or benefits. Employees are eligible for bonus, and equity may be offered depending on the position.
As an employee, you become important to Equinix's success. Details about our company benefits can be found at the following link:
USA Benefits eBook