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Director Data Science Rotational Program Jobs (NOW HIRING)

Fidelity Investments

Director, Data Science

Boston, MA · On-site

Principal Data Scientist - Quantitative Decision Science & Advanced Analytics Are you interested in ... program, and educational assistance including student loan repayment, tuition reimbursement, and ...

Omnicom Media US

Director, Data Science

Chicago, IL · On-site

$140K - $170K/yr

Experience managing data scientists and end-to-end analytics projects * Direct exposure to client media, marketing, and analytics teams Our culture and working style within the group fosters a ...

Asurion

Senior Director, Data Science

San Mateo, CA

Senior Director, Data Science Location: Bay Area preferred, optional: Nashville, TN or Sterling, VA ... complex programs. * Proven delivery of measurable business outcomes. PREFERRED EDUCATION ...

CookUnity

Director, Data Science/ML

Boston, MA

The role: We're looking for a Director, Data Science/ML who will drive CookUnity's next phase of product innovation through forward-looking data science capabilities. This role goes beyond ...

CookUnity

Director, Data Science/ML

New York, NY

The role: We're looking for a Director, Data Science/ML who will drive CookUnity's next phase of product innovation through forward-looking data science capabilities. This role goes beyond ...

Kyndryl

Director, Data Science

New York, NY · On-site

The Role As a Data Scientist at Kyndryl you are the bridge between business problems and innovative solutions, using a powerful blend of well-defined methodologies, statistics, mathematics, domain ...

New

Crateandbarrel

We are seeking an inspiring and transformative Senior Director, Data Science, with 15+ years of leadership experience. This role leads the organization's advanced analytics function, shaping the ...

Inmar

Director, Data Science (MarTech)

New York, NY

The Director, Data (MarTech) is responsible for applying data exploration and visualization ... Perks and discount programs Please note that eligibility for some benefits may depend on your job ...

Chewy

Associate Director, Data Science

Bellevue, WA · On-site

Your Opportunity Chewy is seeking an innovative and strategic Associate Director, Data Science to ... assistance program, and many discounts including 10% off pet insurance and 20% off at Chewy.com.

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Director Data Science Rotational Program information

What are the key skills and qualifications needed to thrive as a Director in a Data Science Rotational Program, and why are they important?

To thrive as a Director in a Data Science Rotational Program, you need advanced expertise in data analytics, machine learning, statistical modeling, and a graduate degree in a quantitative field. Familiarity with tools such as Python, R, SQL, cloud-based platforms, and proficiency in leading data-driven projects is essential, alongside recognized certifications like Certified Analytics Professional (CAP) or AWS Certified Data Analytics. Outstanding leadership, mentorship, and cross-functional communication skills set exceptional candidates apart. These competencies ensure strong team performance, innovation, and effective alignment of data science initiatives with organizational goals.

What can participants expect in terms of mentorship and cross-functional collaboration during the Director Data Science Rotational Program?

Participants in the Director Data Science Rotational Program can expect structured mentorship from senior leaders and exposure to various business units, such as product, engineering, and operations. The program is designed to foster collaboration across teams, offering opportunities to work on high-impact projects and develop a holistic understanding of data-driven decision-making. This structure not only helps participants build a diverse skill set but also expands their professional networks, preparing them for future leadership roles in data science.

What is a Director Data Science Rotational Program?

A Director Data Science Rotational Program is a leadership development initiative designed to groom experienced data science professionals for top executive roles. Participants rotate through various departments or projects, gaining exposure to different facets of data science, analytics, and business strategy within an organization. The program emphasizes cross-functional skills, leadership, and the ability to drive data-driven decision-making at a high level. It often includes mentorship, formal training, and hands-on assignments to prepare participants for senior leadership positions in data science.
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What are the most commonly searched types of Data Science Rotational Program jobs? The most popular types of Data Science Rotational Program jobs are:
What states have the most Director Data Science Rotational Program jobs? States with the most job openings for Director Data Science Rotational Program jobs include:
Director Data Science Rotational Program jobs near you
Infographic showing various Director Data Science Rotational Program job openings in the United States as of June 2026, with employment types broken down into 1% Internship, 60% Full Time, 29% Part Time, 3% Temporary, 6% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Director, Data Science

Fidelity Investments

Boston, MA • On-site

Full-time

Medical, Retirement, PTO

Posted 17 days ago

Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 264 frontline employees who took The Breakroom Quiz

14th of 138 rated financial services

Job description

Job Description:
Principal Data Scientist - Quantitative Decision Science & Advanced Analytics
Are you interested in operating as a senior scientific leader-owning truth, rigor, and decision quality for complex business problems? Fidelity Institutional's AI Center of Excellence (AI CoE) is seeking a Principal Data Scientist to serve as a highly tenured individual contributor and domain authority in data science, quantitative modeling, and advanced analytics.
This role is intentionally Data Science-first, with emphasis on hypothesis-driven analysis, statistical rigor, causal reasoning, and decision science. The Principal Data Scientist is accountable for what the model means, whether it is correct, and whether it should be trusted-not for building or operating production systems.
The Team
The Data Science function within the Fidelity Institutional AI CoE operates as the authority on measurement, experimentation, and quantitative decision-making. The team comprises senior data scientists, statisticians, and quantitative researchers who partner closely with platform, product, BI, and business teams, while maintaining clear ownership of scientific rigor, evaluation frameworks, and analytical truth.
As a Principal Data Scientist, you will operate as a scientific owner and mentor, influencing methodology, standards, and strategic direction across multiple initiatives.
Key Responsibilities
Advanced Data Science & Quantitative Modeling
  • Lead hypothesis-driven analyses to answer high-impact strategic and business questions

  • Design, develop, and evaluate statistical, econometric, and machine learning models where appropriate

  • Ensure models are theoretically sound, empirically validated, interpretable, and fit-for-purpose

  • Review and challenge modeling approaches for bias, stability, assumptions, and misuse

Measurement, Evaluation & Decision Science
  • Define how success should be measured for complex analytics and AI-enabled initiatives

  • Design robust evaluation frameworks including offline validation, back-testing, and live measurement

  • Ensure stakeholders can distinguish correlation from causation in analytical results

  • Elevate analytics from prediction accuracy to decision quality and business impact

Experimentation & Causal Inference
  • Design and review experiments including A/B tests, quasi-experiments, and observational studies

  • Apply causal inference techniques (e.g., uplift modeling, DiD, matched controls) to assess incrementality

  • Guide best practices for power analysis, inference, and result interpretation

  • Serve as a subject-matter expert on "What worked, why, and by how much?"

Advanced Analytics Domains
  • Segmentation & Clustering: Design statistically grounded, interpretable segmentations with clear hypotheses and stability checks

  • Propensity, Likelihood & Uplift Modeling: Develop probabilistic and causal models to inform prioritization and intervention strategies

  • Recommendation & Prioritization Analytics: Guide recommendation logic rooted in statistics, behavioral science, and optimization-not black-box ML

  • Behavioral & Journey Analytics: Analyze longitudinal behavior patterns to identify drivers, frictions, and causal levers

  • Forecasting & Planning Analytics: Apply time-series and probabilistic forecasting with uncertainty and scenario analysis

  • Large Language Models & Generative AI: Design, evaluate, and implement LLM-based solutions - including RAG pipelines, classification, and extraction tasks - with rigorous benchmarking, calibration analysis, hallucination measurement, and bias auditing to ensure outputs are explainable.

Scientific Leadership & Governance (Non-Managerial)
  • Act as a senior reviewer and methodological authority across data science initiatives

  • Set informal standards for rigor, documentation, and reproducibility

  • Mentor senior and mid-level data scientists through technical guidance and peer review

Business Partnership & Influence
  • Translate complex quantitative results into clear, decision-oriented narratives for senior stakeholders

  • Challenge assumptions and narratives not supported by evidence

  • Influence strategy by grounding discussions in data, causality, and expected impact

Expertise and Skills You Bring
Education & Experience
  • Master's or PhD in Statistics, Economics, Mathematics, Operations Research, Computer Science, or related quantitative discipline

  • 10-14+ years of experience in data science, quantitative research, or advanced analytics

  • Proven track record of owning complex analytical problems end-to-end (from question formulation to decision impact)

Core Data Science & Scientific Expertise
  • Deep expertise in statistics, probability, and experimental design

  • Strong command of causal inference and incrementality measurement

  • Solid grounding in forecasting, optimization, and decision science

  • Demonstrated ability to assess modeling correctness, assumptions, and limitations

Technical Foundation
  • Advanced proficiency in Python for analysis and modeling (NumPy, Pandas, SciPy, Statsmodels, Scikit-learn)

  • Strong SQL skills and experience working with large analytical datasets (e.g., Snowflake)

  • Hands-on proficiency with large language models and generative AI, including prompt design, retrieval-augmented generation, structured outputs, and agentic workflows, with demonstrated rigor in designing evaluations, defining task-specific metrics, and applying statistical testing to assess reliability, calibration, hallucination risk, and incremental value over non-generative approaches. Equally proficient in hands-on code development as well as the effective use of AI-powered coding assistants, applying both to accelerate analysis while maintaining correctness, reproducibility, and scientific rigor.

Ways of Working
  • Thinks like a scientist: hypothesis-first, evidence-driven, and principled

  • High bar for rigor, interpretability, and defensibility of results

  • Comfortable challenging senior stakeholders using data and logic

  • Values clarity, elegance, and correctness over technical novelty

  • Operates as a trusted expert rather than a delivery engineer

How This Role Is Distinct
  • Senior Individual Contributor: Tenured individual-contributor role with broad organizational influence

  • Data Science-First: Focused on analytics, statistics, causality, and decision science

  • Strategic Impact: Owns critical analytical questions that shape business decisions and investments

The base salary range for this position is $126,000-255,000 USD per year.
Placement in the range will vary based on job responsibilities and scope, geographic location, candidate's relevant experience, and other factors.
Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.
We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted.
Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.
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