The Senior Data Scientist plays a critical role in designing, developing, and deploying advanced data science and analytics solutions that drive actionable insights and business value. This role applies deep technical expertise and business acumen to solve complex problems, influence decision-making, and improve operational efficiency.
Working on high-impact and often ambiguous initiatives, the Senior Data Scientist independently leads significant components of projects, mentors junior team members, and proactively identifies opportunities for innovation. This role collaborates cross-functionally with business stakeholders, engineering teams, and leadership to translate data into strategic insights and scalable solutions.
What you’ll be doing:
- Develop and implement advanced marketing measurement solutions, including Marketing Mix Modeling (MMM) and Multi-Touch Attribution (MTA), to quantify channel performance and optimize spend
- Build and evolve customer lifetime value (CLV) models to inform acquisition, retention, and investment strategies
- Design and deploy personalization and recommendation models to enhance customer engagement and conversion across channels
- Lead experimentation strategy, including A/B and multivariate testing, to evaluate marketing initiatives and product features
- Partner with marketing stakeholders to translate analytical outputs into actionable campaign strategies and optimization plans
- Define and measure incremental impact (lift) of campaigns, promotions, and loyalty programs
- Work with large-scale customer and behavioral datasets to create segmentation frameworks that drive targeted marketing and customer experiences
- Contribute to the development of measurement frameworks across owned, paid, and omnichannel marketing ecosystems
- Collaborate with data engineering and technology teams to ensure scalable and production-ready solutions.
- Develop and maintain reusable data science assets, tools, and frameworks to improve efficiency and consistency.
- Present insights, recommendations, and model outputs to stakeholders, including senior leadership, in a clear and compelling manner
- Serve as a subject matter expert in selected data science domains (e.g., forecasting, customer analytics, pricing, marketing analytics, optimization)
What you bring to the table:
- Strong analytical thinking skills, with the ability to break down complex problems, identify key drivers, and translate findings into actionable insight
- Highly developed problem-solving capabilities, with a proactive approach to identifying challenges and delivering practical, data-driven solutions
- Collaborative mindset with a track record of working effectively across cross-functional teams and building strong, productive relationships
- Ability to adapt quickly in a dynamic environment, balancing multiple priorities and adjusting approaches as business needs evolve
- Demonstrated initiative and ownership, consistently identifying opportunities for improvement and taking action with a sense of urgency and accountability
- Ability to balance statistical rigor with practical business impact in a fast-paced environment
- Excellent communication skills, including the ability to clearly explain complex technical concepts to non-technical stakeholders and tailor messaging to different audiences
What’s needed- Basic Qualifications:
- Bachelor’s Degree in Data Science, Statistics, Computer Science, Engineering, Mathematics, a related field or equivalent work experience.
- 7+ years of progressively complex related experience in data science or a related field.
- Strong understanding of statistical methods, including hypothesis testing, regression, and model evaluation techniques
- Experience with marketing analytics use cases such as attribution, campaign measurement, personalization, or customer segmentation
- Hands-on experience with experimentation design and analysis (e.g., A/B testing, uplift modeling)
- Proficiency in Python or R, with demonstrated experience using libraries such as pandas, scikit-learn, TensorFlow, PyTorch, or equivalent
- Experience working with large datasets using SQL (e.g., writing complex queries, optimizing performance)
- Demonstrated ability to independently execute end-to-end data science projects (minimum of 3 completed projects with measurable business impact)
- Experience communicating technical results to non-technical stakeholders (e.g., presentations, dashboards, reports)
What’s needed- Preferred Qualifications:
- Master’s or PhD in Data Science, Statistics, Computer Science, or a related field
- 6+ years of experience in advanced analytics, machine learning, or AI
- Proven track record of leading large-scale data science projects.
- Experience deploying models into production environments (e.g., APIs, cloud platforms such as AWS, Azure, or GCP)
- Proficiency with big data technologies (e.g., Spark, Hadoop)
- Experience with MLOps practices, including model monitoring, versioning, and lifecycle management
- Domain expertise in areas such as retail, e-commerce, pricing, supply chain, or customer analytics
- Experience leading project workstreams or mentoring junior team members
- Demonstrated ability to deliver solutions that resulted in measurable business outcomes (e.g., % revenue uplift, cost savings, efficiency gains)
- Experience building and deploying Marketing Mix Models (MMM) or Multi-Touch Attribution (MTA) solutions
- Experience working with customer lifetime value (CLV) modeling and lifecycle analytics
- Experience developing personalization or recommendation systems in a marketing or e-commerce context
- Familiarity with causal inference techniques and incrementality measurement frameworks
- Experience supporting marketing organizations (e.g., paid media, CRM, loyalty, digital analytics)
We Offer:
- 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!
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.
About UsStaples is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, age, national origin, protected veteran status, disability, or any other basis protected by federal, state, or local law.Skills Required
- Bachelor's degree in Data Science, Statistics, Computer Science, Engineering, Mathematics, a related field, or equivalent work experience
- 7+ years of progressively complex experience in data science or a related field
- Strong understanding of statistical methods, including hypothesis testing, regression, and model evaluation
- Experience with marketing analytics, including attribution, campaign measurement, personalization, or customer segmentation
- Hands-on experience designing and analyzing experiments, including A/B testing or uplift modeling
- Proficiency in Python or R and relevant data science libraries such as pandas, scikit-learn, TensorFlow, or PyTorch
- Experience working with large datasets using SQL, including complex queries and performance optimization
- Ability to independently execute end-to-end data science projects, with at least three completed projects demonstrating measurable business impact
- Experience communicating technical results to non-technical stakeholders through presentations, dashboards, or reports
- Master's or PhD in Data Science, Statistics, Computer Science, or a related field
- 6+ years of experience in advanced analytics, machine learning, or AI
- Experience leading large-scale data science projects
- Experience deploying models into production environments, including APIs or cloud platforms such as AWS, Azure, or GCP
- Proficiency with big data technologies such as Spark or Hadoop
- Experience with MLOps practices, including model monitoring, versioning, and lifecycle management
- Domain expertise in retail, e-commerce, pricing, supply chain, or customer analytics
- Experience leading project workstreams or mentoring junior team members
- Experience delivering measurable business outcomes such as revenue growth, cost savings, or efficiency gains
- Experience building and deploying Marketing Mix Models or Multi-Touch Attribution solutions
- Experience with customer lifetime value modeling and lifecycle analytics
- Experience developing personalization or recommendation systems in marketing or e-commerce
- Familiarity with causal inference and incrementality measurement frameworks
- Experience supporting marketing organizations such as paid media, CRM, loyalty, or digital analytics
Staples Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Staples and has not been reviewed or approved by Staples.
-
Wellbeing & Lifestyle Benefits — Wellbeing offerings are described as broad, including wellness reimbursements, emotional support and coaching, legal services, identity theft protection, and pet insurance. Employee discounts and select on-site amenities are also positioned as meaningful add-ons beyond basic coverage.
-
Leave & Time Off Breadth — Time-off provisions are presented as relatively expansive, including paid time off, company-recognized holidays, and a personal or flexible holiday option. Vacation that grows with tenure and PTO flexibility are highlighted as valued elements.
-
Inclusive Benefits Coverage — Healthcare benefits explicitly include gender-affirming care alongside medical, dental, and vision coverage. Family and caregiver programs also include support that references LGBTQ+ considerations and broader life-stage needs.
Staples Insights
What We Do
For nearly 40 years, Staples has been a trusted leader in delivering end-to-end workplace solutions for consumers and businesses of all sizes across a broad range of industries. The company provides a comprehensive portfolio of products, strategic solutions, and services including print and marketing, shipping, technology, and travel. Its specialized assortment includes high-quality office supplies, janitorial products, technology, furniture, and breakroom essentials, all supported by best-in-class supply chain capabilities and a dedicated team of experts committed to making the workday easier. Headquartered near Boston, Massachusetts, Staples operates throughout North America via direct B2B sales, e-commerce, and more than 900 retail stores. To learn more, visit your local U.S. Staples store, download the Staples app, explore Staples.com or StaplesBusiness.com, or follow @Staples on social media.
