Senior Manager Data Science

Staples Canada • Framingham, MA

6h

About The Position

Staples is business to business. You’re what binds us together.
Join a dynamic Data Science team at Staples, dedicated to developing and scaling advanced analytics and ML/AI solutions that drive business growth across marketing, customer and product. Our collaborative group works closely with senior leaders, delivering high-impact initiatives that shape our strategies and create measurable value. Here, you’ll be part of a culture that encourages innovation, scientific rigor, and continuous learning, making a direct impact on how Staples serves its customers and achieves its goals.
As a Senior Manager, Data Science, you will lead a talented team of Data Scientists, guiding the planning, execution, and delivery of analytics initiatives that influence strategy and performance. You’ll partner with cross-functional leaders to prioritize projects, drive operational excellence, and ensure insights are translated into actionable business outcomes. This is a leadership role with broad scope—shaping the team’s direction while driving adoption of cutting-edge methodologies and tools.

Requirements

• Bachelor’s degree in quantitative fields such as Data Science, Statistics, Mathematics, Economics, Computer Science, or Engineering or equivalent work experience
• 8 + years’ experience in data science and analytics, including hands-on model development and deployment
• 3 + years’ experience managing data science teams (including hiring, coaching and performance management), or equivalent project/program leadership experience
• Demonstrated experience in building and launching advanced analytics solutions for customer acquisition, segmentation and retention
• Proficiency in SQL, Python, PySpark, and data visualization tools (i.e. Power BI)
• Strong executive communication skills and experience translating analytics into actionable business recommendations

Nice To Haves

• Master’s degree in Statistics, Applied Math, Computer Science, or a related field
• 2+ years working in customer analytics domains such as Life Time Value (LTV), churn, personalization.
• Experience managing a portfolio of models with governance and monitoring
• Hands-on experience with relevant cloud based tools like Snowflake and Databricks
• Familiarity with marketing measurement techniques, including incrementality and uplift modeling
• Successful track record of improving key business KPIs through analytics
• Experience leading cross-functional programs and delivering on defined timelines

Responsibilities

• Own the delivery of data science projects spanning customer acquisition, retention, and customer relationship management.
• Build predictive models, designing experiments, and presenting actionable recommendations that inform marketing and product strategies.
• Collaborate with teams across Marketing, Sales, Digital/Site Experience, and IT, you’ll translate business objectives into analytics roadmaps, drive continuous improvement, and foster a high-performing, innovative team environment.

Benefits

• Inclusive culture with associate-led Business Resource Groups
• 22 days of PTO and Holiday Schedule (7 observed paid holidays + 1 floating holiday)
• Online and Retail Discounts, Company Match 401(k), Physical and Mental Health Wellness programs, and more!

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level