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 at TEKsystems
Requirements
- 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
Responsibilities
- 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
- Analyze and interpret the results of marketing campaigns using analytical areas such as 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.
Other
- Bachelors of Science degree or Master of Science degree in computer science or in a relevant field
- The ability to communicate effectively in writing including conveying complex information and promoting in-depth engagement on relevant topics
- This is a fully remote position
- The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law
