Experimental Design Data Scientist
Share
Job Location:
San Bruno, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
16 hours ago
Vacancies:
1 Vacancy
Job Summary
FocusKPI is seeking anExperimental Design Data Scientistto 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
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
- Masters 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 whichis very important to have
- Understanding of Marketing Mix Modeling including how MMM complements experimentation and its appropriate use cases is a plus to have/preferable need
- Strong structured thinking problem-solving and attention to detail
- Excellent communication and presentation skills
- Proven ability to manage multiple stakeholders timelines and priorities
- 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
Thank you!
FocusKPI Hiring Team
Founded in 2010 FocusKPI Inc. (FocusKPI) is a data science and technology firm specializing in predictive analytics practice and methodologies. FocusKPI is a US company headquartered in Silicon Valley California with an East Coast office in Boston Massachusetts.
NOTICE: Please be aware of fraudulent emails regarding job postings job offers and fake checks. FocusKPIs recruiting team will strictly reach out via @ email domain. If you have received fraudulent emails now or in the past please report it to .
The domain @ is fraudulent and not related to FocusKPI. Please do not not reply or communicate to anyone with @.
Required Experience:
Manager
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
FocusKPI offers custom marketing analytics solutions and specialized data science support to fit your timeline and budget. Among our areas of expertise are: personalization solutions, measurement (MMM & MTA), and customer sentiment analysis.
