Only W2 role
The main function of the Data Scientist in marketing is to produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets.
Partner with marketing, research, and product organizations to scope, design, execute, measure, and improve the impact of our marketing efforts on the world and on our business
Study the performance of marketing campaigns using robust and state of the art measurement techniques, statistical or econometric models and ensure accountability of marketing
Generate and test hypotheses and analyze and interpret the results of marketing campaigns
Develop quantitative analysis, tools, and models to support marketing decision making
Analytical areas might include (but not limited to): audience segmentation, A/B , multivariate experimental design and hypothesis testing, marketing optimization, advanced survey analysis, regressions and measurement sciences (causal inference, observational data analysis, bias mitigation, matching techniques etc.)
3+ years of experience in data analysis, data science, marketing analytics, or similar quantitative fields, applying experimentation methods to test various hypotheses for various marketing outcomes such as customer segmentation, causal marketing measurement and media optimization
Experience finding, cleaning, and manipulating data to build data sets. Experience working with large datasets.
Experience with SQL, Hive, Presto, Hadoop, or other data querying languages
Experience using R or Python or Stata or a similar scripting language for statistical or econometric modeling
The ability to communicate effectively in writing, including conveying complex information and promoting in-depth engagement on relevant topics.