Senior Manager, Commercial Analytics & Data Science
How you’ll make an impact:
- You will build machine learning models to answer key business questions impacting strategy and marketing spend allocation
- You will perform feature engineering and contribute to our feature store
- You will lead dashboard development and lead development of enhanced visualization tools
Responsibilities:
What you’ll do:
- Build advanced machine learning models to inform marketing tactics (examples: adaptive clustering, reinforcement learning, regression modeling, price elasticity modeling etc.)
- Execute sophisticated quantitative analyses and descriptive modeling to answer key business questions to shape business strategy.
- Use enhanced python based graphical visualizations to deliver key insights to leadership.
- Research and implement novel modeling techniques to solve complex business problems.
- Develop analytics databases & lead development and maintenance of automated dashboards for AB experiment results.
- Develop complex SQL queries combining data from a wide variety of sources in preparation of feature engineering or to perform analysis of business questions.
- Measure incrementality of paid media campaigns using matched market testing.
Requirements:
What you’ll need:
- Bachelor’s or Master's degree in data science, computer science, statistics, engineering, or related quantitative field.
- Strong prior experience in data science, business & statistical analytics.
- 7+ years of experience in related field.
- Strong background in SQL & Python, R is a plus.
- Experience in machine learning algorithms & libraries. Examples: CausalML/EconML, TensorFlow, PyTorch, Keras, sk-learn, seaborn, LSTM, RNN.
- Experience in visualization tools. Examples: Databrick AI/BI, Rshiny, Dash, Tableau.
- Familiarity with Databricks platform is a plus.
- Willingness to take initiative and to follow through on projects.
- Excellent time management skills with the ability to prioritize and multi-task, and work under shifting deadlines in a fast-paced environment.
- Must have legal right to work in the U.S.
Compensation:
Job req# 1654-1