Experimental Design Data Scientist

FocusKPI Inc. • San Bruno, CA

8d • $40 • Remote

About The Position

FocusKPI is seeking an Experimental Design Data Scientist to deliver deep media insights through advanced analytics for our client, one of the largest retailers and e-commerce companies in the U.S.

This role sits at the intersection of media measurement, experimentation, and audience analytics, supporting data-driven evaluation of campaign performance and customer impact across media channels and sales channels, including both in-store and online.
Work Location: Remote in the U.S.
Duration: 6-month contract with potential for extension and conversion, depending on budget and performance
Pay range: $40+/hr

Requirements

• Master’s degree in Economics, Statistics, Computer Science, or a related quantitative field
• 3+ years of experience in campaign measurement, experimentation, or marketing analytics
• Running experimental tests would be the main focus in this role
• Strong experience with A/B testing, causal inference, campaign measurement, and incrementality measurement
• Proficiency in SQL and Python (Coding is a very important skill to have and required to be in advanced level)
• Experience with Project Management is one of the main criteria, and a strong sense of ownership
• The candidate needs to be highly responsible by paying attention to data and details, which is very important to have
• Strong structured thinking, problem-solving, and attention to detail
• Excellent communication and presentation skills
• Proven ability to manage multiple stakeholders, timelines, and priorities

Nice To Haves

• Understanding of Marketing Mix Modeling, including how MMM complements experimentation and its appropriate use cases, is a plus to have/preferable need
• Experience working with or validating MMM outputs in partnership with data science or external vendors
• Familiarity with omnichannel measurement (digital + in-store)
• Retail, e-commerce, or media measurement background

Responsibilities

• Design and analyze A/B tests, incrementality tests, and causal measurement frameworks
• Build and validate audience segments using transaction- and exposure-level data
• Measure the causal impact of media and business events using multiple methodologies, including test/control, Difference-in-Differences, Instrumental Variables, and Marketing Mix Modeling (MMM)
• Support MMM development, calibration, and interpretation, including incorporating experimental learnings to validate or refine MMM outputs
• Translate the MMM results into actionable recommendations while clearly communicating model assumptions, limitations, and caveats
• Be creative and rigorous in measurement when ideal experimental conditions are not available
• Partner with sales, product, campaign teams, and external clients to align on measurement goals and interpret results
• Own projects end-to-end, from problem framing to final delivery
• Develop clear, structured analyses and executive-ready presentations

What This Job Offers

• Career Level: Mid Level
• Number of Employees: 51-100 employees