Role Overview
The Data Scientist II will conduct analysis, apply statistical and mathematical techniques, and develop models to support digital marketing measurement and investment optimization across the global portfolio.
What You Will Do
The role will measure and analyze digital, investment, and sales data to evaluate marketing effectiveness, support optimization efforts, and serve as the Marketing Analytics SME.
Why It Might Be a Fit
The ideal candidate will have strong Data Science, Measurement, and Marketing expertise with a passion to solve complex problems.
Requirements
- Bachelor’s Degree in Statistics, Mathematics, Operations Research, Physics, or related quantitative discipline
- Minimum years of relevant experience in Data Science, Modeling, and Advanced Analytics
- Expertise in problem-solving including experience/knowledge of statistical measurement, forecasting, and econometrics
- Working knowledge in statistical algorithms, predictive modeling techniques, especially Regression, Bayesian, Classification, Boosting, and Optimization models
- Strong SQL skills
- Expertise level knowledge in Python or R
- Working knowledge of relational databases and Cloud-based environment such as GCP
- Experience working data visualization tools (e.g. Tableau), and data integration platforms (e.g. Alteryz, Talend)
- Experience in Data Mining, building and working with APIs
- Familiarity with Data Clean Room technology
- Proven knowledge and understanding of development in Agile environment
- Exceptional Communication Skills – ability to clearly and simply communicate complex results to a wide range of audiences
- Learning agility – ability to work in white space to build new analytical processes and tools
- Familiarity with syndicated data sets (Nielsen/IRI)
To apply for this job please visit genmills.wd1.myworkdayjobs.com.
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