151 Mathematical Modeling jobs in the United States

Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

Netflix has been changing the way people watch shows and movies and we've built a global Content Delivery Network called Open Connect which sets the standard for video delivery. We have also recently embarked on a journey to expand into cloud games, stream our content live, serve ads, and more. All this creates an exciting variety of opportunities and technical challenges.

To embrace all these challenges, we are looking to add a software engineer with expertise in analytics and modeling to the Open Connect Control Plane team to continue to craft the scalable, reliable systems needed to build and scale all our offerings.

The role involves building:

• Cloud services that customers directly hit when they press 'Play'.
• Algorithms that smartly steer customers to Open Connect appliances such that they have the best possible Quality-of-Experience, taking into account network latencies, resource availability, and other factors.
• Algorithms and models to understand and optimize hardware utilization and cost efficiency, evaluated against intuitive and business-critical performance metrics.
• Operational knobs and tools to quickly diagnose and fix problems as they arise.

We spend our time trying to answer questions like these:

• What do we need to build in order to be a cost efficient and resilient platform?
• How do we design our models and systems to adapt appropriately to heterogeneous resource availability and demand, including in real-time?
• What's the best way to share system capacity between different games with different resolution and resource demand?
• How do we make our mathematical models and ML systems easy to operate and understand?
• What are the performance metrics we can evaluate our systems against over-time?

We are looking for someone who identifies with the following:

• You use mathematical approaches to model dynamic systems.
• You are familiar with modeling techniques and building optimization algorithms, including general ML, static, trend, and time-series.
• You build robust, responsive, and scalable systems.
• You are comfortable with ambiguity.
• You are able to iterate quickly on ideas and incorporate feedback.
• You care about building quality software that your teammates can support.
• You have a passion for operational excellence, educating others, and rigor.
• You believe that fostering an inclusive environment helps everyone do their best work.

Basic Qualifications:

• 5+ years software development or proficiency with a modern programming language
• Experience building and operating business-critical, real-time systems and models at scale.
• Behavioral modeling and analytics experience (e.g. experience with Python, Tensorflow, Spark, SQL, Presto, etc.)

Nice To Have:

• Distributed Systems Experience (e.g. Java).
• Basic background in networking concepts.

At Netflix, we carefully consider a wide range of compensation factors to determine your personal top of the market. We rely on market indicators to determine compensation and consider your specific job family, background, skills, and experience to get it right. These considerations can cause your compensation to vary and will also be dependent on your location.

Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $100,000 - $720,000.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

The driving force behind our success has always been the people of AspenTech. What drives us, is our aspiration, our desire and ambition to keep pushing the envelope, overcoming any hurdle, challenging the status quo to continually find a better way. You will experience these qualities of passion, pride and aspiration in many ways - from a rich set of career development programs to support of community service projects to social events that foster fun and relationship building across our global community.

• Investigate new and developing modeling and optimization technologies as they appear in industry and academia and determine how to leverage these new technologies into our software applications.
• Provide technical leadership for software development projects related to mathematical modeling and optimization.
• Design, develop, maintain, and support new and existing engineering software applications.
• Actively contribute to technical and functional design sessions.
• Provide creative solutions when dealing with technology challenges.
• Participating in the maintenance and enhancement of the existing code bases.
• Provide technical support to product management, product marketing, services, and customer support on customer activities.

• BS in Chemical Engineering, Mathematics, or related fields (advanced degree preferable).
• 5-8 years of experience in the development of software for modeling, control and optimization of chemicals, oil & gas, and/or refining processes.
• Strong background in numerical methods, mathematical modeling, and optimization.
• Solid computer programming and software development experience, with specific experience in C#/.NET. Experience with C++ is a plus.
• Excellent interpersonal, communication, writing and presentation skills.
• Demonstrated ability to convey complex information in a clear and concise manner.
• English fluency (written and verbal) required.

The driving force behind our success has always been the people of AspenTech. What drives us, is our aspiration, our desire and ambition to keep pushing the envelope, overcoming any hurdle, challenging the status quo to continually find a better way. You will experience these qualities of passion, pride and aspiration in many ways - from a rich set of career development programs to support of community service projects to social events that foster fun and relationship building across our global community.

• Investigate new and developing modeling and optimization technologies as they appear in industry and academia and determine how to leverage these new technologies into our software applications.
• Provide technical leadership for software development projects related to mathematical modeling and optimization.
• Design, develop, maintain, and support new and existing engineering software applications.
• Actively contribute to technical and functional design sessions.
• Provide creative solutions when dealing with technology challenges.
• Participating in the maintenance and enhancement of the existing code bases.
• Provide technical support to product management, product marketing, services, and customer support on customer activities.

• BS in Chemical Engineering, Mathematics, or related fields (advanced degree preferable).
• 5-8 years of experience in the development of software for modeling, control and optimization of chemicals, oil & gas, and/or refining processes.
• Strong background in numerical methods, mathematical modeling, and optimization.
• Solid computer programming and software development experience, with specific experience in C#/.NET. Experience with C++ is a plus.
• Excellent interpersonal, communication, writing and presentation skills.
• Demonstrated ability to convey complex information in a clear and concise manner.
• English fluency (written and verbal) required.

#LI-WJ1

• Interpret data, analyze results using statistical techniques and provide ongoing reports
• Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
• Acquire data from primary or secondary data sources and maintain databases/data systems
• Identify, analyze, and interpret trends or patterns in complex data sets
• Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
• Work with management to prioritize business and information needs
• Locate and define new process improvement opportunities

• Proven working experience as a Data Analyst or Business Data Analyst
• Technical expertise regarding data models, database design development, data mining and segmentation techniques
• Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks)
• Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy

The Data Analysis Specialist will play a crucial role in leveraging data to drive insights and enhance decision-making processes. We are looking for a detail-oriented individual with a strong background in data science, analytics, and technology.

Key Responsibilities:

• Conduct thorough data analysis and evaluation to support strategic initiatives.
• Collaborate with various teams to understand their data needs and provide data-driven solutions.
• Utilize advanced analytical tools and techniques to interpret complex datasets.
• Prepare reports and visualize data findings for stakeholders.
• Contribute to the development of best practices in data management and analysis.

Areas of Interest:

• Consulting
• Data & Analytics
• Digital & Technology

This is a full-time position that offers a remote work environment. If you are passionate about data and eager to make an impact, we encourage you to apply!

Manager, Data Analysis

At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

What you'll do:

• Drive current and future strategy by leveraging your analytical skills

• Assist with building and using models to test and validate data

• Work with vast amounts of data in new and evolving environments

• Be a part of growing and developing our brand in new and emerging markets

• Leverage analytics to create a customer experience above our peers

• Lead a team of talented junior analysts on an exciting professional journey while mentoring them and elevating their careers

• Be a part of the full life cycle of projects and see end results

• Collaborate across business units

• Work with top talent in a fast paced, entrepreneurial environment where analytics and good data are a top priority

• Experience real work life balance, with little travel involved

On any given day you will be:

• Mining data to arrive at specific and crucial information for the organization

• Identifying and implementing process, data, and reporting improvements for the organization

• Working with large and complex databases containing millions to billions of records

• Improving operational efficiencies and effectiveness

• Conducting analysis to evaluate processes and tests

• Extracting and analyzing data to gauge product offerings

• Consulting on the design and implementation of new production and data storage systems

• Developing and implementing strategic tests of products, initiatives and marketing materials

An ideal candidate will be on the leading edge of Analytical technology with a passion for the newest and most innovative tools. Possessing strong problem solving and conceptual thinking abilities in addition to communication, interpersonal and leadership skills are also important. This position will be in a fast-paced and entrepreneurial environment where you will be handling multiple concurrent projects while working independently and in teams. This role will have a strong Business Intelligence component and those with a BI background are strongly encouraged to apply.

Basic Qualifications

• Currently has, or is in the process of obtaining a Bachelor's Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 6 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master's Degree plus at least 4 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.

• At least 4 years of experience performing professional data analysis work

• At least 4 years of experience performing programming

Preferred Qualifications:

• Master's Degree in a Science, Technology, Engineering, Mathematics discipline

• At least 7 years of professional data analysis work experience

• At least 4 years of experience with Python, R, Spark or SQL

• At least 1 year of experience in people management

• At least 1 years of project management experience

• At least 1 year of experience in Tableau

• Proficient utilizing and developing within AWS service

Capital One will consider sponsoring a new qualified 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 candidate's 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).

Manager, Data Analysis

At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

What you’ll do:

• Drive current and future strategy by leveraging your analytical skills

• Assist with building and using models to test and validate data

• Work with vast amounts of data in new and evolving environments

• Be a part of growing and developing our brand in new and emerging markets

• Leverage analytics to create a customer experience above our peers

• Lead a team of talented junior analysts on an exciting professional journey while mentoring them and elevating their careers

• Be a part of the full life cycle of projects and see end results

• Collaborate across business units

• Work with top talent in a fast paced, entrepreneurial environment where analytics and good data are a top priority

• Experience real work life balance, with little travel involved

On any given day you will be:

• Mining data to arrive at specific and crucial information for the organization

• Identifying and implementing process, data, and reporting improvements for the organization

• Working with large and complex databases containing millions to billions of records

• Improving operational efficiencies and effectiveness

• Conducting analysis to evaluate processes and tests

• Extracting and analyzing data to gauge product offerings

• Consulting on the design and implementation of new production and data storage systems

• Developing and implementing strategic tests of products, initiatives and marketing materials

An ideal candidate will be on the leading edge of Analytical technology with a passion for the newest and most innovative tools. Possessing strong problem solving and conceptual thinking abilities in addition to communication, interpersonal and leadership skills are also important. This position will be in a fast-paced and entrepreneurial environment where you will be handling multiple concurrent projects while working independently and in teams. This role will have a strong Business Intelligence component and those with a BI background are strongly encouraged to apply.

Basic Qualifications

• Currently has, or is in the process of obtaining a Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 6 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus at least 4 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.

• At least 4 years of experience performing professional data analysis work

• At least 4 years of experience performing programming

Preferred Qualifications:

• Master’s Degree in a Science, Technology, Engineering, Mathematics discipline

• At least 7 years of professional data analysis work experience

• At least 4 years of experience with Python, R, Spark or SQL

• At least 1 year of experience in people management

• At least 1 years of project management experience

• At least 1 year of experience in Tableau

• Proficient utilizing and developing within AWS service

Capital One will consider sponsoring a new qualified 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.

McLean, VA: $158,400 - $80,800 for Data Analysis Manager

Richmond, VA: 144,000 - 164,400 for Data Analysis Manager

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 (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. 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).

Known for being a great place to work and build a career, KPMG provides audit, tax and advisory services for organizations in today's most important industries. Our growth is driven by delivering real results for our clients. It's also enabled by our culture, which encourages individual development, embraces an inclusive environment, rewards innovative excellence and supports our communities. With qualities like those, it's no wonder we're consistently ranked among the best companies to work for by Fortune Magazine, Consulting Magazine, Seramount, Fair360 and others. If you're as passionate about your future as we are, join our team.

KPMG is currently seeking a Manager, Data Analysis to join our Digital Nexus technology organization. This is a hybrid work opportunity.

• Collaborate with business stakeholders to understand and document detailed data requirements, including data interfaces and mappings
• Perform data analysis, interpret data, and participate actively in data sourcing activities, acting as the subject matter expert (SME) for data-related inquiries
• Create and maintain comprehensive business and technical requirement documents to guide data initiatives; design and implement robust data quality checks and support data modeling efforts to ensure high data integrity and usefulness
• Participate actively in project management processes, including effort estimation, attending regular meetings with project managers and developers, and contributing to the creation of test plans, project plans, and implementation plans
• Work closely with developers to ensure proper understanding and adherence to data specifications; support quality assurance processes and user acceptance testing to ensure data solutions meet business requirements
• Provide ongoing post-production support for maintenance and enhancement of data solutions; lead and mentor other team members, promoting best practices in data modeling, data quality, and metadata management

• Minimum five years of recent experience in data analysis, data sourcing, and integration
• Bachelor's degree from an accredited college or university is preferred
• Proficiency in SQL for querying and managing SQL databases, and experience with data analysis tools such as Alteryx
• Practical experience in data warehousing, business intelligence, and data quality projects; familiarity with working with Big Data technologies, particularly with Azure Data Lake
• Demonstrated ability to design and develop complex data mappings, sessions, workflows, and identify optimization opportunities
• Excellent problem-solving skills and the ability to work independently and within a team; strong communication skills to effectively interact with technical and non-technical stakeholders
• Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa

KPMG LLP (the U.S. member firm of KPMG International) offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding the firm's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.

KPMG does not currently require partners or employees to be fully vaccinated or test negative for COVID-19 in order to go to KPMG offices, client sites or KPMG events, except when mandated by federal, state or local law. In some circumstances, clients also may require proof of vaccination or testing (e.g., to go to the client site).

KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them.

Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Known for being a great place to work and build a career, KPMG provides audit, tax and advisory services for organizations in today's most important industries. Our growth is driven by delivering real results for our clients. It's also enabled by our culture, which encourages individual development, embraces an inclusive environment, rewards innovative excellence and supports our communities. With qualities like those, it's no wonder we're consistently ranked among the best companies to work for by Fortune Magazine, Consulting Magazine, Seramount, Fair360 and others. If you're as passionate about your future as we are, join our team.

KPMG is currently seeking a Manager, Data Analysis to join our Digital Nexus technology organization. This is a hybrid work opportunity.

• Collaborate with business stakeholders to understand and document detailed data requirements, including data interfaces and mappings
• Perform data analysis, interpret data, and participate actively in data sourcing activities, acting as the subject matter expert (SME) for data-related inquiries
• Create and maintain comprehensive business and technical requirement documents to guide data initiatives; design and implement robust data quality checks and support data modeling efforts to ensure high data integrity and usefulness
• Participate actively in project management processes, including effort estimation, attending regular meetings with project managers and developers, and contributing to the creation of test plans, project plans, and implementation plans
• Work closely with developers to ensure proper understanding and adherence to data specifications; support quality assurance processes and user acceptance testing to ensure data solutions meet business requirements
• Provide ongoing post-production support for maintenance and enhancement of data solutions; lead and mentor other team members, promoting best practices in data modeling, data quality, and metadata management

• Minimum five years of recent experience in data analysis, data sourcing, and integration
• Bachelor's degree from an accredited college or university is preferred
• Proficiency in SQL for querying and managing SQL databases, and experience with data analysis tools such as Alteryx
• Practical experience in data warehousing, business intelligence, and data quality projects; familiarity with working with Big Data technologies, particularly with Azure Data Lake
• Demonstrated ability to design and develop complex data mappings, sessions, workflows, and identify optimization opportunities
• Excellent problem-solving skills and the ability to work independently and within a team; strong communication skills to effectively interact with technical and non-technical stakeholders
• Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa

KPMG LLP (the U.S. member firm of KPMG International) offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding the firm's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.

KPMG does not currently require partners or employees to be fully vaccinated or test negative for COVID-19 in order to go to KPMG offices, client sites or KPMG events, except when mandated by federal, state or local law. In some circumstances, clients also may require proof of vaccination or testing (e.g., to go to the client site).

KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them.

Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.