17 Data And Research jobs in Richmond
Senior Data Science Manager
Posted 11 days ago
Job Viewed
Job Description
At Coinbase, our mission is to increase economic freedom in the world. It's a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform - and with it, the future global financial system.
To achieve our mission, we're seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company's hardest problems.
Our is intense and isn't for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there's no better place to be.
While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported.
Data Science is an integral component of Coinbase's product and decision making process: we work in partnership with Product, Engineering and Design to influence the roadmap and better understand our users. With a deep expertise in experimentation, analytics and advanced modeling, we produce insights and drive decisions which directly move the company's bottom line.
We're looking for an experienced manager to lead the Developer data science team, a fast growing area of the business that's not only working on some of the most cutting edge web3 applications, but which is also critical to Coinbase's mission of bringing one billion people onchain. They'll work with their team to devise strategies to help grow the product, support a culture of experimentation, and hold a high bar for rigorous and analytical decision making.
*What you'll be doing (ie. job duties):***
* Manage, mentor and grow a team of data scientists and build solid working partnerships with product teams
* Act as a strategic thought partner to product teams and Coinbase executives; lead the team to execute on data-based analyses to help prioritize product opportunities and provide actionable recommendations
* Standardize best practices for analysis, modeling and experimentation; develop scalable processes to help the team solve pain points and meet goals
* Design communication structure and cadence with team members; synthesize data learnings into compelling stories and communicate them throughout Coinbase
* Act as the business metrics owner for performance management
* Drive data team and organizational level initiatives to scale our insights through better systems and automation
*What we look for in you (ie. job requirements):*
* BA / BS degree business, computer science, statistics, applied mathematics, or any scientific or computational degree
* 5+ years of experience as a hands-on leader of a high-performing data science/analytics team
* 10+ years of experience providing business insights and driving data science initiatives
* Experience in both internal and external storytelling and executive presentations
* Experience overseeing large, complex and cross-functional initiatives
* Expertise with analytics tools, data visualization, SQL, R, or Python as applied to data science and analytics
* Deep knowledge of data models and experimental design and execution
* Excellent ability to communicate complicated and nuanced insights in accessible language to relevant stakeholders
* Demonstrate our core cultural values: clear communication, positive energy, continuous learning, and efficient execution
* Self-driven and able to create plans for analytics projects and build collaboration within the team
*Nice to haves:*
* Masters or PhD in computer science, statistics, applied mathematics, or any scientific or computational degree
* Experience building causal inference models and overseeing synthetic experimentation
* Domain experience in Fintech product and growth areas
* Experience manipulating large amounts of structured and unstructured data
*Pay Transparency Notice:* Depending on your work location, the target annual salary for this position can range as detailed below. Full time offers from Coinbase also include target bonus + target equity + benefits (including medical, dental, vision and 401(k)).
Pay Range:
$243,865-$286,900 USD
Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying.
Commitment to Equal Opportunity
Coinbase is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the in certain locations, as required by law.
Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations Data Privacy Notice for Job Candidates and Applicants
Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available Disclosure
For select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. A human recruiter will review your interview responses, provided in the form of a voice recording and/or transcript, to assess them against the qualifications and characteristics outlined in the job description.
For select roles, Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate.
*The above pilots are for testing purposes and Coinbase will not use AI to make decisions impacting employment*. To request a reasonable accommodation due to disability, please contact accommodations(at)coinbase.com
Data Science Manager, Monetization
Posted 12 days ago
Job Viewed
Job Description
As a Data Science Manager at Meta, you will play a key role in shaping the future of experiences for billions of people and hundreds of millions of businesses worldwide. You will apply your leadership, project management, analytical, technical, creative, and product intuition skills to one of the largest data sets globally. Your primary focus will be on driving impact through quality, efficiency, and velocity by collaborating with cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance, and others.You will use data to understand product and business ecosystems, quantify new opportunities, identify upcoming challenges, and shape product development to bring value to people, businesses, and Meta. You will guide product teams using data and insights, develop hypotheses, and employ rigorous analytical approaches to test them. Additionally, you will tell data-driven stories, convince and influence leaders using clear insights and recommendations, and build credibility as a trusted strategic partner.As a leader, you will inspire, lead, and grow a world-class team of data scientists and data science leaders. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.
**Required Skills:**
Data Science Manager, Monetization Responsibilities:
1. Drive analytics projects end-to-end in partnership with cross-functional teams to inform and execute product strategy and investment decisions
2. Inspire, lead, and grow a team of data scientists and managers to fulfill long-term vision and goals
3. Actively influence the design of strategy and roadmap within scope, generating and using team insights to set and prioritize longer-term goals
4. Develop understanding of complex systems, industry challenges, and broader trends to identify present and future risks and opportunities
5. Work with large and complex data sets to solve challenging problems using different analytical and statistical approaches
6. Grow analytics expertise around you, upskilling your team, engineers, and others to increase overall team impact
7. Define key metrics for measuring model effectiveness and drive insight to action by identifying focus areas and opportunities to accelerate performance
8. Partner with cross-functional teams to achieve ambitious long-term goals, monitoring performance against growth goals and building experimentation rigor
9. Shape the strategic direction of growth initiatives, investing in data foundations and analytical methods to sharpen understanding of growth levers
**Minimum Qualifications:**
Minimum Qualifications:
10. BS degree in a quantitative discipline (e.g., statistics, operations research, econometrics, computer science, engineering), or BS/MS in a quantitative discipline with equivalent working experience
11. A minimum of 7 years of work experience (3+ years with a Ph.D.) in applied quantitative field doing quantitative analysis, statistical modeling or machine learning in the experimentation space, including including 2+ years of experience managing analytics teams
12. 5+ years of experience in a team leadership role, including 2+ years of experience with people management through layers
13. Proven track record of leading high-performing analytics teams
14. Experience communicating both in low-level technical details as well as high-level strategies
15. Track-record driving product roadmap and execution
16. Experience in cross-functional partnership among teams of Engineering, Design, PM, Data Engineering
**Preferred Qualifications:**
Preferred Qualifications:
17. Proven track record of leading analytics teams that deliver on multiple projects or programs across regions or business groups
18. A minimum of 2 years of experience working on consumer-facing products
19. 10+ years of experience with quantitative analysis, statistical modeling, or machine learning in the experimentation space
20. Master's or Ph.D. degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or another quantitative field
**Public Compensation:**
$206,000/year to $281,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
Data Science Manager, Monetization
Posted 17 days ago
Job Viewed
Job Description
As a Data Science Manager at Meta, you will play a key role in shaping the future of experiences for billions of people and hundreds of millions of businesses worldwide. You will apply your leadership, project management, analytical, technical, creative, and product intuition skills to one of the largest data sets globally. Your primary focus will be on driving impact through quality, efficiency, and velocity by collaborating with cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance, and others.You will use data to understand product and business ecosystems, quantify new opportunities, identify upcoming challenges, and shape product development to bring value to people, businesses, and Meta. You will guide product teams using data and insights, develop hypotheses, and employ rigorous analytical approaches to test them. Additionally, you will tell data-driven stories, convince and influence leaders using clear insights and recommendations, and build credibility as a trusted strategic partner.As a leader, you will inspire, lead, and grow a world-class team of data scientists and data science leaders. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.
**Required Skills:**
Data Science Manager, Monetization Responsibilities:
1. Drive analytics projects end-to-end in partnership with cross-functional teams to inform and execute product strategy and investment decisions
2. Inspire, lead, and grow a team of data scientists and managers to fulfill long-term vision and goals
3. Actively influence the design of strategy and roadmap within scope, generating and using team insights to set and prioritize longer-term goals
4. Develop understanding of complex systems, industry challenges, and broader trends to identify present and future risks and opportunities
5. Work with large and complex data sets to solve challenging problems using different analytical and statistical approaches
6. Grow analytics expertise around you, upskilling your team, engineers, and others to increase overall team impact
7. Define key metrics for measuring model effectiveness and drive insight to action by identifying focus areas and opportunities to accelerate performance
8. Partner with cross-functional teams to achieve ambitious long-term goals, monitoring performance against growth goals and building experimentation rigor
9. Shape the strategic direction of growth initiatives, investing in data foundations and analytical methods to sharpen understanding of growth levers
**Minimum Qualifications:**
Minimum Qualifications:
10. BS degree in a quantitative discipline (e.g., statistics, operations research, econometrics, computer science, engineering), or BS/MS in a quantitative discipline with equivalent working experience
11. A minimum of 7 years of work experience (3+ years with a Ph.D.) in applied quantitative field doing quantitative analysis, statistical modeling or machine learning in the experimentation space, including including 2+ years of experience managing analytics teams
12. 5+ years of experience in a team leadership role, including 2+ years of experience with people management through layers
13. Proven track record of leading high-performing analytics teams
14. Experience communicating both in low-level technical details as well as high-level strategies
15. Track-record driving product roadmap and execution
16. Experience in cross-functional partnership among teams of Engineering, Design, PM, Data Engineering
**Preferred Qualifications:**
Preferred Qualifications:
17. Proven track record of leading analytics teams that deliver on multiple projects or programs across regions or business groups
18. A minimum of 2 years of experience working on consumer-facing products
19. 10+ years of experience with quantitative analysis, statistical modeling, or machine learning in the experimentation space
20. Master's or Ph.D. degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or another quantitative field
**Public Compensation:**
$206,000/year to $281,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
Senior Product Manager, AI / Data Science
Posted 13 days ago
Job Viewed
Job Description
Evolent partners with health plans and providers to achieve better outcomes for people with most complex and costly health conditions. Working across specialties and primary care, we seek to connect the pieces of fragmented health care system and ensure people get the same level of care and compassion we would want for our loved ones.
Evolent employees enjoy work/life balance, the flexibility to suit their work to their lives, and autonomy they need to get things done. We believe that people do their best work when they're supported to live their best lives, and when they feel welcome to bring their whole selves to work. That's one reason why diversity and inclusion are core to our business.
Join Evolent for the mission. Stay for the culture.
**What You'll Be Doing:**
**Job Summary**
We are seeking a highly motivated **AI/Data Science Product Manager** to lead and manage AI initiatives across our organization. This individual will play a key role in identifying, evaluating, and executing AI-driven opportunities while working cross-functionally with data science, clinical, operational, and technical teams. The ideal candidate will have a strong foundation in both product and project management and be comfortable navigating AI technologies and business applications.
**Key Responsibilities**
**Opportunity Analysis & Strategy**
Conduct in-depth opportunity analysis for new and existing AI initiatives, including business case development and feasibility assessment. Partner with stakeholders to define detailed product and business requirements. Perform build vs. buy analysis and support vendor evaluations where necessary.
**Development & Execution**
Collaborate with data science teams to outline proof-of-concepts (POCs) and have a strategic point of view on AI/ML techniques and tools. Evaluate the success of AI initiatives at the POC stage gate and refine opportunity sizing accordingly. Ensure AI solutions align with broader business objectives and operational needs.
**Cross-functional Coordination**
Coordinate testing and validation processes with clinical and operational teams to ensure real-world applicability and efficacy. Work with project managers on change management, including relating the impact of decisions made throughout project scope to overall value Align AI initiatives with roadmaps of key internal applications such as BBI and CarePro. Manage rollout plans, ensuring seamless implementation, training, and adoption across the organization.
**Performance Tracking & Value Realization**
Define and track key performance metrics to measure AI initiative success and business impact. Communicate results and insights to executive stakeholders, ensuring transparency and alignment on value delivered.
**Qualifications & Skills**
**Experience:** 5+ years in product management, data science, or AI-related roles, preferably within healthcare, insurance, or operational technology.
**Education:** Bachelor's or Master's degree in Computer Science, Engineering, Business, or a related field.
**Technical Understanding:** Familiarity with AI/ML techniques, data science methodologies, and cloud-based AI solutions.
**Project Management:** Strong ability to manage multiple initiatives, coordinate cross-functional teams, ensure strong scope and value maintenance, and ensure timely execution.
**Communication & Leadership:** Ability to work with technical and non-technical stakeholders, translating AI capabilities into business impact.
**Analytical Skills:** Experience with data-driven decision-making, including business case development and opportunity sizing.
**Healthcare Industry Experience:** Familiarity with clinical workflows, payer operations, or healthcare AI applications is preferred.
**Why Join Us?**
Opportunity to drive impactful AI initiatives in a rapidly evolving industry. Collaborative environment with cross-functional teams, including data science, engineering, and operations. Competitive compensation, benefits, and opportunities for professional growth.
If you are passionate about AI and data science and want to play a pivotal role in shaping AI-driven transformation, we'd love to hear from you!
**To comply with HIPAA security standards (45 C.F.R. sec. 164.308 (a) (3)), identity verification may be required as part of the application process. This is collected for compliance and security purposes and only reviewed if an applicant advances to the final interview state. Reasonable accommodations are available upon request.**
**Technical Requirements:**
We require that all employees have the following technical capability at their home: High speed internet over 10 Mbps and, specifically for all call center employees, the ability to plug in directly to the home internet router. These at-home technical requirements are subject to change with any scheduled re-opening of our office locations.
**Evolent is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability status.** **If you need reasonable accommodation to access the information provided on this website, please contact** ** ** **for further assistance.**
The expected base salary/wage range for this position is $115,000 - 130,000. This position is also eligible for a bonus component that would be dependent on pre-defined performance factors. As part of our total compensation package, Evolent is proud to offer comprehensive benefits (including health insurance benefits) to qualifying employees. All compensation determinations are based on the skills and experience required for the position and commensurate with experience of selected individuals, which may vary above and below the stated amounts.
Don't see the dream job you are looking for? Drop off your contact information and resume and we will reach out to you if we find the perfect fit!
Current Masters Data Science Internship Summer 2026
Posted 3 days ago
Job Viewed
Job Description
Current Master's - Data Science Internship - Summer 2026
Key Role Details
-
This is a full-time paid internship program spanning ten weeks from June through August 2026.
-
Participation in the internship requires that you are located in the continental United States with in-person attendance at your assigned location, in accordance with Capital One’s hybrid working model , for the duration of the program.
-
Interns will be evaluated for a full-time position with their team and will work with their manager on identifying a start date upon graduation .
This is a paid internship. This is a limited-time internship position, and Capital One will not sponsor a new applicant for employment authorization for this position. However, a full-time Data Science role, for which you may be considered upon completion of the internship (subject to business need, market conditions, and other factors) is eligible for employer immigration sponsorship.
Basic Qualifications
-
Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained by August 2027 or earlier:
- A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration
-
Must be continuing in the same course of study of your Master’s degree following completion of the internship
-
At least 6 months of experience or academic work using open source programming languages for data analysis
-
At least 6 months of experience or academic work using machine learning techniques
Preferred Qualifications:
-
Direct experience with either Python, R or SQL
-
Experience or academic work in inferential statistics
-
Experience or academic work with relational databases
-
Experience or academic work with large scale data analysis
Data Science Internship - 2026
As a Data Scientist at Capital One, you’ll be part of a high-performing team that’s embracing the latest in computing technologies to unlock opportunities that help everyday people save money and improve their financial lives. You'll help our customers solve their financial services challenges by using groundbreaking techniques. You'll make valuable contributions from day one by continuously learning, engaging in diverse sets of experiences, and building close-knit relationships across the company. Role / team focus areas could include supporting machine learning, deep learning, or quant initiatives across the enterprise.
On any given day, you might:
-
Evaluate open-source and internally-developed modeling and analytics tools using real business data
-
Integrate internal data with external data sources and APIs to discover and implement actionable insights
-
Design and craft data science models to communicate solutions to customers and company leadership
We'd love to find someone who is…
-
Intellectually curious. You ask why, you explore, and you are excited to imagine and create new ideas by inventing self-adaptive models or by tapping into unstructured data sources. You love mining data for insights into behaviors, intent and sentiment.
-
A builder. You are passionate about delivering better experiences and better products to our customers and have a deep sense of ownership for your craft.
-
An experimental scientist. You love putting on your lab coat and trying new things, new combinations of tools, techniques and feature engineering approaches even if you sometimes fail.
-
A Communicator. You seek to connect with teammates and business partners to share technical ideas that resonate with audience needs across verbal and written channels.
Are you ready to join a community of talented individuals who embrace customer problems and use their passion and capabilities to make a difference every single day? If you're interested in a long-term career at Capital One, the Data Science internship could be a great way to begin your career journey!
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: $143,000 - $43,000 for Data Science Intern
Chicago, IL: 130,000 - 130,000 for Data Science Intern
McLean, VA: 143,000 - 143,000 for Data Science Intern
New York, NY: 156,000 - 156,000 for Data Science Intern
Plano, TX: 130,000 - 130,000 for Data Science Intern
Richmond, VA: 130,000 - 130,000 for Data Science Intern
San Francisco, CA: 156,000 - 156,000 for Data Science Intern
San Jose, CA: 156,000 - 156,000 for Data Science Intern
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 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 ; 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 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).
Current PhD Data Science Internship Summer 2026
Posted 3 days ago
Job Viewed
Job Description
Current PhD - Data Science Internship - Summer 2026
Key Role Details
-
This is a full-time paid internship program spanning ten weeks from June through August 2026.
-
Participation in the internship requires that you are located in the continental United States with in-person attendance at your assigned location, in accordance with Capital One’s hybrid working model , for the duration of the program.
-
Interns will be evaluated for a full-time position with their team and will work with their manager on identifying a start date upon graduation
This is a paid internship. This is a limited-time internship position, and Capital One will not sponsor a new applicant for employment authorization for this position. However, a full-time Data Science role, for which you may be considered upon completion of the internship (subject to business need, market conditions, and other factors) is eligible for employer immigration sponsorship.
Basic Qualifications
-
Currently has, or is in the process of obtaining a PhD in one of the following areas with an expectation that the required degree will be obtained by August 2028 or earlier:
- A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)
-
Must be continuing in the same course of study of your PhD degree following completion of the internship
-
At least 6 months experience or academic work using open source programming languages for data analysis
-
At least 6 months of experience or academic work using machine learning techniques
-
At least 6 months of experience with either Python, R or SQL
Preferred Qualifications:
-
Experience or academic work in inferential statistics
-
Experience or academic work with relational databases
-
Experience or academic work with large scale data analysis
Data Science Internship - 2026
As a Data Scientist at Capital One, you’ll be part of a high-performing team that’s embracing the latest in computing technologies to unlock opportunities that help everyday people save money and improve their financial lives. You'll help our customers solve their financial services challenges by using groundbreaking techniques. You'll make valuable contributions from day one by continuously learning, engaging in diverse sets of experiences, and building close-knit relationships across the company. Role / team focus areas could include supporting machine learning, deep learning, or quant initiatives across the enterprise.
On any given day, you might:
-
Evaluate open-source and internally-developed modeling and analytics tools using real business data
-
Integrate internal data with external data sources and APIs to discover and implement actionable insights
-
Design and craft data science models to communicate solutions to customers and company leadership
We'd love to find someone who is…
-
Intellectually curious. You ask why, you explore, and you are excited to imagine and create new ideas by inventing self-adaptive models or by tapping into unstructured data sources. You love mining data for insights into behaviors, intent and sentiment
-
A builder. You are passionate about delivering better experiences and better products to our customers and have a deep sense of ownership for your craft.
-
An experimental scientist. You love putting on your lab coat and trying new things, new combinations of tools, techniques and feature engineering approaches even if you sometimes fail.
-
A Communicator. You seek to connect with teammates and business partners to share technical ideas that resonate with audience needs across verbal and written channels.
Are you ready to join a community of talented individuals who embrace customer problems and use their passion and capabilities to make a difference every single day? If you're interested in a long-term career at Capital One, the Data Science internship could be a great way to begin your career journey!
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: $174,000 - $74,000 for Data Science PhD Intern
Chicago, IL: 158,000 - 158,000 for Data Science PhD Intern
McLean, VA: 174,000 - 174,000 for Data Science PhD Intern
New York, NY: 190,000 - 190,000 for Data Science PhD Intern
Plano, TX: 158,000 - 158,000 for Data Science PhD Intern
Richmond, VA: 158,000 - 158,000 for Data Science PhD Intern
San Francisco, CA: 190,000 - 190,000 for Data Science PhD Intern
San Jose, CA: 190,000 - 190,000 for Data Science PhD Intern
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 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 ; 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 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).
Current Master's - Data Science Internship - Summer 2026
Posted 3 days ago
Job Viewed
Job Description
Current Master's - Data Science Internship - Summer 2026
Key Role Details
This is a full-time paid internship program spanning ten weeks from June through August 2026.
Participation in the internship requires that you are located in the continental United States with in-person attendance at your assigned location, in accordance with Capital One's hybrid working model, for the duration of the program.
Interns will be evaluated for a full-time position with their team and will work with their manager on identifying a start date upon graduation.
This is a paid internship. This is a limited-time internship position, and Capital One will not sponsor a new applicant for employment authorization for this position. However, a full-time Data Science role, for which you may be considered upon completion of the internship (subject to business need, market conditions, and other factors) is eligible for employer immigration sponsorship.
Basic Qualifications
Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained by August 2027 or earlier:
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration
Must be continuing in the same course of study of your Master's degree following completion of the internship
At least 6 months of experience or academic work using open source programming languages for data analysis
At least 6 months of experience or academic work using machine learning techniques
Preferred Qualifications:
Direct experience with either Python, R or SQL
Experience or academic work in inferential statistics
Experience or academic work with relational databases
Experience or academic work with large scale data analysis
Data Science Internship - 2026
As a Data Scientist at Capital One, you'll be part of a high-performing team that's embracing the latest in computing technologies to unlock opportunities that help everyday people save money and improve their financial lives. You'll help our customers solve their financial services challenges by using groundbreaking techniques. You'll make valuable contributions from day one by continuously learning, engaging in diverse sets of experiences, and building close-knit relationships across the company. Role / team focus areas could include supporting machine learning, deep learning, or quant initiatives across the enterprise.
On any given day, you might:
Evaluate open-source and internally-developed modeling and analytics tools using real business data
Integrate internal data with external data sources and APIs to discover and implement actionable insights
Design and craft data science models to communicate solutions to customers and company leadership
We'd love to find someone who is.
Intellectually curious. You ask why, you explore, and you are excited to imagine and create new ideas by inventing self-adaptive models or by tapping into unstructured data sources. You love mining data for insights into behaviors, intent and sentiment.
A builder. You are passionate about delivering better experiences and better products to our customers and have a deep sense of ownership for your craft.
An experimental scientist. You love putting on your lab coat and trying new things, new combinations of tools, techniques and feature engineering approaches even if you sometimes fail.
A Communicator. You seek to connect with teammates and business partners to share technical ideas that resonate with audience needs across verbal and written channels.
Are you ready to join a community of talented individuals who embrace customer problems and use their passion and capabilities to make a difference every single day? If you're interested in a long-term career at Capital One, the Data Science internship could be a great way to begin your career journey!
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: $143,000 - $43,000 for Data Science Intern Chicago, IL: 130,000 - 130,000 for Data Science Intern McLean, VA: 143,000 - 143,000 for Data Science Intern New York, NY: 156,000 - 156,000 for Data Science Intern Plano, TX: 130,000 - 130,000 for Data Science Intern Richmond, VA: 130,000 - 130,000 for Data Science Intern San Francisco, CA: 156,000 - 156,000 for Data Science Intern San Jose, CA: 156,000 - 156,000 for Data Science InternCandidates 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.
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 ; 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 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).
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Current PhD - Data Science Internship - Summer 2026
Posted 3 days ago
Job Viewed
Job Description
Current PhD - Data Science Internship - Summer 2026
Key Role Details
This is a full-time paid internship program spanning ten weeks from June through August 2026.
Participation in the internship requires that you are located in the continental United States with in-person attendance at your assigned location, in accordance with Capital One's hybrid working model, for the duration of the program.
Interns will be evaluated for a full-time position with their team and will work with their manager on identifying a start date upon graduation
This is a paid internship. This is a limited-time internship position, and Capital One will not sponsor a new applicant for employment authorization for this position. However, a full-time Data Science role, for which you may be considered upon completion of the internship (subject to business need, market conditions, and other factors) is eligible for employer immigration sponsorship.
Basic Qualifications
Currently has, or is in the process of obtaining a PhD in one of the following areas with an expectation that the required degree will be obtained by August 2028 or earlier:
A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)
Must be continuing in the same course of study of your PhD degree following completion of the internship
At least 6 months experience or academic work using open source programming languages for data analysis
At least 6 months of experience or academic work using machine learning techniques
At least 6 months of experience with either Python, R or SQL
Preferred Qualifications:
Experience or academic work in inferential statistics
Experience or academic work with relational databases
Experience or academic work with large scale data analysis
Data Science Internship - 2026
As a Data Scientist at Capital One, you'll be part of a high-performing team that's embracing the latest in computing technologies to unlock opportunities that help everyday people save money and improve their financial lives. You'll help our customers solve their financial services challenges by using groundbreaking techniques. You'll make valuable contributions from day one by continuously learning, engaging in diverse sets of experiences, and building close-knit relationships across the company. Role / team focus areas could include supporting machine learning, deep learning, or quant initiatives across the enterprise.
On any given day, you might:
Evaluate open-source and internally-developed modeling and analytics tools using real business data
Integrate internal data with external data sources and APIs to discover and implement actionable insights
Design and craft data science models to communicate solutions to customers and company leadership
We'd love to find someone who is.
Intellectually curious. You ask why, you explore, and you are excited to imagine and create new ideas by inventing self-adaptive models or by tapping into unstructured data sources. You love mining data for insights into behaviors, intent and sentiment
A builder. You are passionate about delivering better experiences and better products to our customers and have a deep sense of ownership for your craft.
An experimental scientist. You love putting on your lab coat and trying new things, new combinations of tools, techniques and feature engineering approaches even if you sometimes fail.
A Communicator. You seek to connect with teammates and business partners to share technical ideas that resonate with audience needs across verbal and written channels.
Are you ready to join a community of talented individuals who embrace customer problems and use their passion and capabilities to make a difference every single day? If you're interested in a long-term career at Capital One, the Data Science internship could be a great way to begin your career journey!
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: $174,000 - $74,000 for Data Science PhD Intern Chicago, IL: 158,000 - 158,000 for Data Science PhD Intern McLean, VA: 174,000 - 174,000 for Data Science PhD Intern New York, NY: 190,000 - 190,000 for Data Science PhD Intern Plano, TX: 158,000 - 158,000 for Data Science PhD Intern Richmond, VA: 158,000 - 158,000 for Data Science PhD Intern San Francisco, CA: 190,000 - 190,000 for Data Science PhD Intern San Jose, CA: 190,000 - 190,000 for Data Science PhD InternCandidates 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.
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 ; 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 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).
Team Lead, Product Management - Data Management & Research Experiences
Posted 2 days ago
Job Viewed
Job Description
CoStar Group (NASDAQ: CSGP) is a leading global provider of commercial and residential real estate information, analytics, and online marketplaces. Included in the S&P 500 Index and the NASDAQ 100, CoStar Group is on a mission to digitize the world's real estate, empowering all people to discover properties, insights and connections that improve their businesses and lives.
We have been living and breathing the world of real estate information and online marketplaces for over 35 years, giving us the perspective to create truly unique and valuable offerings to our customers. We've continually refined, transformed and perfected our approach to our business, creating a language that has become standard in our industry, for our customers, and even our competitors. We continue that effort today and are always working to improve and drive innovation. This is how we deliver for our customers, our employees, and investors. By equipping the brightest minds with the best resources available, we provide an invaluable edge in real estate.
About The RoleCoStar Group is seeking a highly technical and strategic Team Lead, Product Management to lead initiatives that ensure our data pipelines and feeds are reliable, scalable, and deliver high-quality insights to our global research teams. In this role, you'll be responsible for shaping the vision and roadmap for our data products, primarily focusing on data integrity, standardization, and usability. Your work will empower company researchers to collect, validate, and analyze real estate data from around the world with confidence and efficiency. If you're passionate about enhancing product experiences and thrive in a collaborative environment, we want to hear from you!
This position is in Richmond, VA, and offers a schedule of Monday to Thursday in office and work from home on Friday.
Responsibilities- Define and own the product strategy and roadmap for data management and quality initiatives across global real estate datasets.
- Drive innovation with automation, ML-powered validation, and enrichment initiatives.
- Communicate a 6-month vision to senior research stakeholders, maintaining transparency and building relationships.
- Establish data quality metrics and monitoring frameworks to ensure consistency, accuracy, and reliability of all data feeds.
- Ensure data products are secure, compliant, and deliver measurable business value.
- Lead and mentor business analysts, ensuring priorities are clear and their work drives measurable impact.
- Build a strong, collaborative team culture focused on data excellence and problem-solving.
- Work closely with researchers, data scientists, and engineers to solve complex data challenges to improve research workflows.
- Align teams around shared goals and ensure smooth delivery of high-impact data features.
- Act as the voice of data needs, translating technical requirements into actionable product plans.
- Own KPIs tied to data completeness, reliability, and researcher productivity.
- Track product performance and user feedback to fuel continuous improvement.
- Experience leading a team of Product Manager, Product Owners, or Business Analysts
- Bachelor's Degree from an accredited, not-for-profit University or College.
- 3+ years of product management experience, with at least 2 years with a focus on data-driven products and applications.
- Strong understanding of data pipelines, ETL processes, APIs, and data warehousing
- Proven experience working with engineering and data science teams to build data-centric products.
- Strong problem-solving skills with the ability to balance technical depth with user needs.
- Proven ability to build strong relationships with internal stakeholders (e.g., researchers, senior leaders) and earn trust through thoughtful, user-centered solutions.
- Excellent communication and storytelling abilitiesable to simplify complex technical concepts for cross-functional teams.
- Takes initiative with a strong sense of ownership, driven by curiosity and a desire to solve problems before they surface.
- Collaborated in agile-scrum processes.
- Track record of commitment to prior employers
- 5+ years of experience with industry-leading digital products.
- Data Analysis and Interpretation: Ability to analyze data, identify trends, and translate findings into actionable insights.
- Data Flow Diagramming: Effectively utilize tools like Figma, LucidCharts, or Visio to create clear and concise data flow diagrams to visualize and explain complex data processes and system interactions to both technical and non-technical audiences.
- Experience managing or mentoring business analysts, data product owners, or other cross-functional team members.
- Hands-on experience with data visualization tools (e.g., Tableau, Power BI, Looker) for surfacing insights to stakeholders.
- Advanced technical proficiency and comfortable reviewing API specs, SQL queries, or ETL processes.
When you join CoStar Group, you'll experience a collaborative and innovative culture working alongside the best and brightest to empower our people and customers to succeed.
We offer you generous compensation and performance-based incentives. CoStar Group also invests in professional and academic growth with internal training and tuition reimbursement.
Our benefits package includes (but is not limited to):
- Comprehensive healthcare coverage: Medical / Vision / Dental / Prescription Drug
- Life, legal, and supplementary insurance
- Virtual and in-person mental health counseling services for individuals and family
- Commuter and parking benefits
- 401(K) retirement plan with matching contributions
- Employee stock purchase plan
- Paid time off
- Tuition reimbursement
- On-site fitness center and/or reimbursed fitness center membership costs (location dependent), with yoga studio, Pelotons, personal training, and group exercise classes
- Access to CoStar Group's Diversity, Equity, & Inclusion Employee Resource Groups
- Complimentary gourmet coffee, tea, hot chocolate, fresh fruit, and other healthy snacks
We welcome all qualified candidates who are currently eligible to work full-time in the United States to apply. However, please note that CoStar Group is not able to provide visa sponsorship for this position.
CoStar Group is an Equal Employment Opportunity Employer; we maintain a drug-free workplace and perform pre-employment substance abuse testing
Lead Data Scientist - Research and Development - Graph Intelligence
Posted 3 days ago
Job Viewed
Job Description
Company :
Highmark Health
Job Description :
JOB SUMMARY
Are you an architect of interconnected data, driven by the belief that relationships hold the key to uncovering society's most complex challenges? Do you see medical records not just as disparate facts, but as a vast, dynamic network of patient journeys, disease progressions, and treatment efficacy? Highmark Health is seeking a groundbreaking Lead Data Scientist, Research & Development, specializing in Graph Intelligence, who will not just work with graph data, but will define the future of how we harness relational insights in healthcare.
This is a premier R&D position where you will lead the charge in inventing and proving out transformative graph-native analytical solutions. Your core mission is to push the boundaries of what's possible in advanced analytics by pioneering novel methodologies that leverage network science, knowledge graphs, and Graph Machine Learning (GML) to solve critical problems across the healthcare continuum. From personalizing patient care pathways to detecting complex fraud rings and understanding population health dynamics, your work will directly impact millions of lives.
As our Lead Graph Intelligence specialist, you will be the spearhead of cutting-edge research projects. This means deeply engaging with graph theory, building and enriching large-scale knowledge graphs, and developing next-generation Graph Neural Networks (GNNs), graph convolutional networks (GCNs), graph attention networks (GATs), and other advanced network algorithms. You'll architect unique graph embeddings, perform sophisticated link prediction, community detection, and anomaly detection on complex healthcare data. Your responsibilities will include designing rigorous experiments, building robust proof-of-concept models, and meticulously evaluating the performance and interpretability of these novel graph algorithms to ensure their real-world applicability.
You are not merely a data scientist; you are a relational data innovator with a strategic mindset. You inherently understand that the explicit modeling of entities and their relationships unlocks a deeper layer of intelligence that traditional tabular or sequential data models cannot. You will proactively identify opportunities to construct and leverage comprehensive healthcare knowledge graphs, integrating diverse patient, provider, claims, and clinical data to uncover hidden patterns, propagate insights through networks, and develop groundbreaking analytical solutions that exploit the rich, multi-modal structures within healthcare.
Leveraging your profound expertise in graph databases (e.g., Neo4j, ArangoDB, Amazon Neptune, Ontotext GraphDB), distributed graph processing frameworks (e.g., Apache Spark GraphX, Dask-Graph), and leading GML libraries (e.g., PyTorch Geometric, DGL, Spektral), you will conduct in-depth research, construct sophisticated predictive, prescriptive, and diagnostic models directly on graph structures. You will drive initiatives from theoretical concept to validated, scalable prototypes. You are a vigilant scout of the graph AI landscape, continuously scanning, rigorously evaluating, and championing the adoption of emerging graph platforms, algorithms, and tools. Furthermore, you will actively foster collaborations with leading academic institutions, healthcare research experts, and the broader graph community. Your contributions will extend to publishing seminal research findings in top-tier conferences and leading the dialogue on the transformative power of graph intelligence in healthcare.
ESSENTIAL RESPONSIBILITIES
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Work directly with the business to understand their business processes and aims, then identify how analytical solutions could help deliver value for them. This would include being accountable for:
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Outlining complex new use cases + creating high level impact estimates.
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Identifying data elements needed and where to get them (including proxies).
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Assembling data sets independently using knowledge of Highmark operational and analytic data structures.
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Delivering the analytical solution to several complex business problems simultaneously.
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Documenting objectives, assumptions and processes and enriching/expanding our standards as needed
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Select and apply the appropriate advanced modeling/machine learning techniques to these data sets to deliver business insight, ensuring that the final analysis is well researched, accurate, and documented. This requires: Proficiency of a substantial number of advanced analytical techniques and mastery of a few, evidenced by in-depth knowledge and delivery record (for example regression models, tree-based learning, neural networks, clustering techniques, natural language processing)
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Consult with the business to contextualize and translate the results of our analysis in a form which the business can understand and act upon. This will include: Written reports, presentation and data visualizations, and draws clear lines between the high-level problem specifications for a broad range of audiences, the analyses performed, and how the results link directly back to business objectives, and lead implementation which drives frontline workflow.
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Plan, prepare and deliver/coordinate all elements of several analyses largely independently in such a way that it is delivered on time, to a high standard and ready to implement on a production basis (including dissemination through the Organization's user systems). This includes identifying the best route to implementation (developing the analytical solution accordingly).
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Expertise and in-depth understanding of subject, be the face of major projects within ED&A, external presence/earned credibility (conferences, white papers, local/national associations); mentoring/teaching others
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Other duties as assigned or requested.
EDUCATION
Required
- Master's degree in Analytics, Mathematics, Physics, Computer and Information Science, Engineering Technology or related field OR Bachelor's Degree + 3 years of relevant work experience in lieu of a Master's Degree
Preferred
- Doctoral degree (Ph.D.) in Analytics, Mathematics, Physics, Computer and Information Science, Engineering Technology, or a related field.
EXPERIENCE
Required
-
5 years of Data Science
-
3 years Data Science (if PhD Education)
Preferred
-
Deep Expertise in Graph Theory & Network Science: Comprehensive understanding of fundamental graph algorithms (centrality, community detection, pathfinding, clustering), knowledge graph principles, and network analysis techniques for complex systems.
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Advanced Graph Machine Learning (GML): Proven experience designing, implementing, and optimizing various Graph Neural Network (GNN) architectures, graph convolutional networks, and other graph-specific machine learning models for tasks like node classification, link prediction, and anomaly detection in graphs.
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Knowledge Graph Engineering: Hands-on experience in the entire lifecycle of knowledge graphs, including schema design (ontologies, RDF, OWL), data ingestion, graph construction, data cleaning, entity resolution, and advanced graph querying (e.g., Cypher, SPARQL).
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Graph Database & Platform Experience: Practical experience with one or more leading graph databases (e.g., Neo4j, Google Spanner Graph) and distributed graph processing frameworks.
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GML Libraries & Frameworks: Strong command of specialized GML libraries like PyTorch Geometric (PyG), Deep Graph Library (DGL), Spektral, or StellarGraph.
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Cloud Platform & MLOps: Experience deploying and managing ML models, particularly GML pipelines, in cloud environments (e.g., AWS, Azure, GCP) and familiarity with MLOps principles for research projects.
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Research & Publication Acumen: A track record of contributing to cutting-edge research, including peer-reviewed publications in top-tier conferences or demonstrated experience in driving novel solution development from concept to prototype.
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Healthcare Data Familiarity: Understanding of healthcare data domains (claims, clinical, EMR) and related ontologies or standards (e.g., SNOMED CT, ICD) is a significant plus.
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Experimental Design & Rigor: Demonstrated ability to design robust experiments, rigorously evaluate model performance, interpret complex results, and contribute to the scientific understanding of graph-based solutions.
LICENSES OR CERTIFICATIONS
Required
- None
Preferred
- None
SKILLS
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Analysis of business problems/needs
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Analytical and Logical Reasoning/Thinking
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Collaborative Problem Solving
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Data Analysis with SQL, BigQuery
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Statistical Analysis with Python, R
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Written & Oral Presentation Skills
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Basic proto-typing/front end skills ?
Language (other than English)
None
Travel Required
0% - 25&
PHYSICAL, MENTAL DEMANDS and WORKING CONDITIONS
Position Type
Office-Based
Teaches / trains others regularly
Occasionally
Travel regularly from the office to various work sites or from site-to-site
Never
Works primarily out-of-the office selling products/services (sales employees)
Never
Physical work site required
No
Lifting: up to 10 pounds
Frequently
Lifting: 10 to 25 pounds
Occasionally
Lifting: 25 to 50 pounds
Rarely
Disclaimer: The job description has been designed to indicate the general nature and essential duties and responsibilities of work performed by employees within this job title. It may not contain a comprehensive inventory of all duties, responsibilities, and qualifications required of employees to do this job.
Compliance Requirement: This position adheres to the ethical and legal standards and behavioral expectations as set forth in the code of business conduct and company policies.
As a component of job responsibilities, employees may have access to covered information, cardholder data, or other confidential customer information that must be protected at all times. In connection with this, all employees must comply with both the Health Insurance Portability Accountability Act of 1996 (HIPAA) as described in the Notice of Privacy Practices and Privacy Policies and Procedures as well as all data security guidelines established within the Company's Handbook of Privacy Policies and Practices and Information Security Policy.
Furthermore, it is every employee's responsibility to comply with the company's Code of Business Conduct. This includes but is not limited to adherence to applicable federal and state laws, rules, and regulations as well as company policies and training requirements.
Pay Range Minimum:
$108,000.00
Pay Range Maximum:
$201,800.00
Base pay is determined by a variety of factors including a candidate's qualifications, experience, and expected contributions, as well as internal peer equity, market, and business considerations. The displayed salary range does not reflect any geographic differential Highmark may apply for certain locations based upon comparative markets.
Highmark Health and its affiliates prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities and prohibit discrimination against all individuals based on any category protected by applicable federal, state, or local law.
We endeavor to make this site accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact the email below.
For accommodation requests, please contact HR Services Online at
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Req ID: J