Staples Canada · 2 weeks ago
Senior Data Scientist - Customer Analytics & Measurement
Framingham, MA, United States
Full-time
Onsite
Senior Level
7+ years expStaples Canada is seeking a Senior Data Scientist to lead high-impact work in customer segmentation, personalization, experimentation, and omnichannel measurement. This role involves collaborating with various teams to drive measurable customer and revenue impact through data science and analytics.
E-CommerceInformation TechnologyOffice Supplies
Responsibilities
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
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
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
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
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
Qualification
Required
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
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
Benefits
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.
Company
Staples Canada
STAPLES Canada is a company that sells office supplies, technology and equipments.
10001+ employees
Funding
Current Stage
Late StageLeadership Team
Brian McDougall
Chief Retail Officer
Recent News
Ottawa Business Journal
2025-12-13
Canada NewsWire
2025-12-02
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