Data Scientist - Measurement Modeling

FocusKPI is looking for a Data Scientist - Measurement Modeling to work for our client, one of the largest retailers/e-commerce companies in the U.S.A.

The client is seeking an experienced data science individual contributor to enable deep insights and capabilities on ads measurement methodology. They're building a robust in-house advertising business that’s key to its growth strategy. They partner closely with brands on strategies and solutions that harness client’s unparalleled omni-channel influence. They deliver relevant retail ads and experiences that connect their customers with the brands and products they love.

They use online and in-store data, encompassing 95% of American households, to measure campaign-correlated sales on their site and in their stores.

Work Location:

Remote in the U.S.

Duration: 6 months contract with potential for extension and conversion, depending on budget and performance

Pay range: $55/hr to $65/hr

• Build and enhance media mix models to connect the impact of marketing tactics and business short-term and long-term outcomes
• Run optimization and simulation scenarios to help provide the marketing investment and allocation recommendations to stakeholders
• Perform hands-on modeling and complex analyses using SQL & Python
• Build and enhance synthetic control group, ghost ads, MTA, MMM algorithm to estimate ads incremental impact
• Explain complex modeling approaches in simple terms and develop compelling narratives that connect modeling results with business problems
• Partner with cross-functional teams to streamline data science solutions

• Master's degree in statistics, economics, operations research, engineering, or related field
• 6+ years of industry experience in ads measurement methodology
• Proficient coding skills (SQL/Python/R) and database knowledge
• Extensive experience with predictive modeling algorithms
• Experience in media mix modeling, advanced measurement, applicable marketing analytics
• Strong project management skills, including managing technical resources and multiple priorities & milestones.
• Able to communicate technical material to a range of audiences that provides insight into marketing performance.
• You have a passion for working in a fast-paced agile environment.
• A collaborative mindset and sense of curiosity

• PhD degree in Statistics, Economics, Operations Research, or related field
• Advanced programming skills with experience of creating Python modules
• Experience with A/B and Multivariate test design and implementation

No Data Analysts or Data Engineers or Software Engineers are accepted for this role.

Data Scientist candidates with MMM/MTA experience and experience in ads Measurement Methodology are only considered

Thank you