Data Scientist - Marketing

Job Summary

Webstaurant Store, the world’s largest online restaurant supply company, is looking for a full-time Data Scientist to join the Data Science team. The Data Scientists are responsible for supplying statistical rigor to the organization’s analytics projects, aimed at discovering actionable insights and opportunities for growth and optimization.

This role can be remote in some U.S. states (see below for remote work requirements) or based in one of our offices (Lititz, PA or Tampa, FL).

• Advising on analysis and modeling techniques, selecting the best fit for structured & unstructured, complex data, and developing custom analytics models to generate insights that drive value for our customers and unlock competitive advantage for our organization.
• Collaborating with our analytics engineers to gather the right information from various sources so that you can implement advanced statistical methodologies and design interventions to optimize our business performance.
• Conducting exploratory analysis including hypothesis testing, statistical inference, and statistical analysis (predictive and/or prescriptive).
• Maintaining and updating our in‑house Media Mix Models (MMM) and Multi‑Touch Attribution (MTA) models to ensure they reflect the current state of marketing spend and value.
• Designing, implementing, and analyzing lift, blackout, and other experiments to continually improve our attribution models.
• Partnering with business and technical stakeholders, including our Google advertising team, to translate complex retail challenges into data science solutions.
• Developing processes and tools that monitor, analyze and continuously improve model performance and data accuracy.
• Working with other data scientists to design and implement experiments and glean actionable insights from experimental analyses.
• Defending and explaining the validity of predictive/ML models to those without a background in data science or statistics.
• Actively researching new tools and technologies, staying on top of analytics news and best practices.

• Work is performed while sitting/standing and interfacing with a personal computer.
• Requires the ability to communicate effectively using speech, vision, and hearing.
• Requires the regular use of hands for simple grasping and fine manipulations.
• Requires occasional bending, squatting, crawling, climbing, and reaching.
• Requires the ability to occasionally lift, carry, push, or pull medium weights, up to 50 lbs.

• Access to a reliable and secure high‑speed internet connection. Cable or fiber internet connections (at least 75 Mbps download/10 Mbps upload) are preferred; satellite connections often cannot support the technologies used to perform day‑to‑day tasks.
• Access to a home router and modem.
• A dedicated home office space that is noise‑ and distraction‑free. The space should have a strong wireless connection or a wired Ethernet connection (wired connection is preferred, if possible).
• A valid, physical address (apartment, suite, etc.). PO Boxes are not supported, as a physical address is required for you to receive your computer equipment.
• The desire and ability to work and communicate with other team members via chat, webcam, etc.
• Legal residents of one of the following states: AK, AL, AR, AZ, CT, DE, FL, GA, IA, , IN, KS, KY, LA, MD, ME, MI, MN, MO, MS, NC, ND, NH, NM, NV, OH, OK, PA, SC, SD, TN, TX, UT, VA, VT, WI, WV, or WY. H-1B Visa Sponsorship Not Available, W‑2 only.

• Minimum 2 years of professional experience in Data Science, or a PhD in mathematics, statistics, economics, or a related quantitative field.
• Advanced proficiency in Python and SQL, with a strong foundation in statistical methods and advanced modeling techniques applied to marketing and growth problems.
• Hands‑on experience with experimentation and causal inference frameworks, including incrementality testing, geo experiments, holdout designs, or quasi‑experimental methods.
• Proven ability to partner with paid marketing teams to design, execute, and analyze experiments that inform budget allocation and channel strategy.
• Experience building, evaluating, or refining…