Senior Data Scientist, Customer Analytics & Personalization

Staples • Framingham, MA • 9h ago

Staples is seeking a Senior Data Scientist I with 7+ years of progressively complex experience to lead high-impact work in customer segmentation, personalization, experimentation, and omnichannel measurement, including multi-touch attribution (MTA).

This role sits at the intersection of data science, analytics engineering, and applied machine learning, and plays a critical role in shaping how Staples engages customers across digital, in-store, and hybrid (BOPIS / delivery) journeys. You will partner closely with Product, Marketing, Merchandising, and Engineering to drive measurable customer and revenue impact.

What You'll Do

Customer Segmentation & Personalization

Design and maintain customer segmentation frameworks using large-scale transactional, behavioral, and engagement data.

Develop segmentation strategies based on lifecycle stage, purchase frequency, basket composition, category affinity, promotion responsiveness, and channel preference.

Build and deploy personalization and targeting models (e.g., propensity, uplift, ranking) to improve engagement, conversion, and retention across marketing and customer touchpoints.

Translate analytical and model outputs into actionable decisioning logic.

Experimentation & Causal Inference

Design, analyze, and interpret experiments and quasi-experiments across marketing, merchandising, and customer engagement use cases.

Apply causal inference techniques such as A/B testing, difference-in-differences, matching, uplift modeling, and other incrementality approaches.

Support experiments conducted at multiple levels, including customer-, geo-, and store-level designs, while accounting for seasonality, spillover effects, and operational constraints.

Partner with stakeholders to ensure tests are well-powered, statistically sound, and aligned with business objectives.

Omnichannel Measurement & Attribution

Build and evolve omnichannel measurement frameworks, including multi-touch attribution and incrementality models, to assess the impact of customer and marketing touchpoints.

Measure the effectiveness of digital and offline channels, such as paid media, email, loyalty programs, promotions, and in-store activity.

Clearly communicate model assumptions, limitations, and tradeoffs to technical and non-technical audiences to support decision-making.

Data & ML Engineering

Collaborate with Analytics and Data Engineering teams to define clean, reliable, and scalable data models at the SKU, transaction, store, and customer level.

Productionize analytical models and data products using best practices for code quality, versioning, validation, monitoring, and retraining.

Write maintainable, well-documented code and contribute to shared data science tooling and standards.

Leadership & Influence

Act as a senior individual contributor and technical leader, setting a high bar for analytical rigor and statistical judgment.

Review and provide feedback on analyses and models developed by other data scientists.

Proactively identify opportunities where data science can improve customer experience, marketing efficiency, and commercial outcomes.

Influence strategy with data-driven insights.

What We're Looking For

Required Qualifications

7+ years experience in Data Science, Analytics Engineering, ML Engineering, or related roles.

Strong foundation in statistics, probability, experimental design, and causal inference.

Demonstrated experience with customer analytics, including segmentation, personalization, or marketing measurement.

Hands-on experience designing and analyzing experiments and observational studies in real-world business settings.

Proficiency in Python and SQL.

Experience deploying models into production.

Ability to communicate complex technical concepts clearly to non-technical stakeholders.

Preferred Qualifications

Experience in retail, e-commerce, or consumer-facing businesses.

Experience building or evaluating multi-touch attribution, incrementality, or media measurement models.

Familiarity with uplift modeling or treatment effect estimation.

Experience working with modern data stacks (e.g., cloud data warehouses, dbt, feature stores).

Exposure to ML systems, model monitoring, or MLOps practices.

Get great perks:

Generous amount of paid time off and bonus plan.

401(k) plan with a company match, medical, dental, vision, life and disability insurance, and many more benefits.

Associate store discount and more perks (discounts on mobile plans, movie tickets, etc.).

On-site, discounted childcare, fitness center and dry cleaners in Framingham, MA corporate office.

The salary range represents the expected compensation for this role at the time of posting. The specific base pay may be influenced by a variety of factors to include the candidate's experience, skill set, education, geography, business considerations, and internal equity. In addition to base pay, this role may be eligible for bonuses, or other forms of variable compensation.

Staples is an Equal Opportunity Employer.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender idenity, sexual orientation, age, national origin, protected veteran status, disability, or any other basis protected by federal, state, or local law.

For individuals with disabilities that need additional assistance at any point in the process, please call 1-888-490-4747 for more information.

Management & Administrative

Summary At La Colombe we believe that being a good coffee partner means more than just offering a great cup of coffee. The Wholesale Team supports the region's most talented chefs, restaurateurs, cafes, offices and hotel...

4h ago

Go to Apply

Digital Marketing Technologist - Manager

PwC • Boston, MA • 8h ago

Management & Administrative

Specialty/Competency: Data, Analytics & AI Industry/Sector: Not Applicable Time Type: Full time Travel Requirements: Up to 60% At PwC, our people in data and analytics focus on leveraging data to drive insights and m...

8h ago

Go to Apply

Sr Manager, Alliance Marketing

American Express Global Business Travel • Boston, MA • 9h ago

Management & Administrative

Amex GBT is a place where colleagues find inspiration in travel as a force for good and - through their work - can make an impact on our industry. We're here to help our colleagues achieve success and offer an inclusive...

9h ago

Go to Apply

AI & Data Senior Consultant - Palantir Data Science

Deloitte • Boston, MA • 9h ago

Management & Administrative

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-...

9h ago

Go to Apply

PLUMBER/STEAMFITTER, Facilities Management & Planning, Mechanical Operations

Boston University • Boston, MA • 9h ago

Management & Administrative

PLUMBER/STEAMFITTER, Facilities Management & Planning, Mechanical Operations Job Description PLUMBER/STEAMFITTER, Facilities Management & Planning, Mechanical Operations Category Charles River Campus --> Profe...

9h ago

Go to Apply

Subscribe to get new jobs sent directly to you
(no charge, cancel anytime)

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.