Senior Marketing Data Scientist: MMM, CLV & Personalization

Socket.dev; Framingham (MA); On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Inclusive culture and BRGs

22 days PTO + holidays

Discounts + 401(k) match

Job summary

Staples is seeking a Senior Data Scientist to design, develop, and deploy advanced analytics that drive actionable insights and business value across marketing and customer analytics.

You will lead significant project components, mentor teammates, and collaborate with stakeholders to translate data into strategic opportunities, building scalable data assets and presenting insights to leadership.

Qualifications

• Bachelor’s degree in data science, statistics, CS, engineering, math, or related field.
• 7+ years of progressively complex experience in data science.
• 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 (A/B testing, uplift modeling).
• Proficiency in Python or R, with libraries such as pandas, scikit-learn, TensorFlow, PyTorch.
• Experience working with large datasets using SQL (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).

Responsibilities

• Develop and implement advanced marketing measurement solutions, including Marketing Mix Modeling (MMM) and Multi-Touch Attribution (MTA).
• Build and evolve customer lifetime value (CLV) models to inform acquisition and retention strategies.
• Design and deploy personalization and recommendation models across channels.
• Lead experimentation strategy including A/B and multivariate testing.
• Partner with marketing stakeholders to translate outputs into actionable campaign strategies.
• Define and measure incremental impact (lift) of campaigns and loyalty programs.
• Work with large-scale datasets to create segmentation frameworks for targeted marketing.
• Contribute to measurement frameworks across owned, paid, and omnichannel ecosystems.
• Collaborate with data engineering to ensure scalable, production-ready solutions.
• Develop and maintain reusable data science assets and tools.
• Present insights to stakeholders including senior leadership.
• Serve as SME in domains like forecasting, pricing, marketing analytics, optimization.

Skills

Analytical thinking

Communication

Cross-functional collaboration

Problem solving

Ownership

Adaptability

Ability to explain technical concepts

Education

Bachelor’s Degree in Data Science, Statistics, CS, Engineering, Mathematics, or related field

Master’s or PhD in Data Science, Statistics, CS, or related field

Tools

Python

R

SQL

Pandas

Scikit-learn

TensorFlow

PyTorch

Big data technologies (Spark, Hadoop)

MLOps

Job description

Staples is seeking a Senior Data Scientist to design, develop, and deploy advanced analytics that drive actionable insights and business value across marketing and customer analytics.

You will lead significant project components, mentor teammates, and collaborate with stakeholders to translate data into strategic opportunities, building scalable data assets and presenting insights to leadership.