Senior Manager, Commercial Analytics & Data Science

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: • $100 to $105/hr. (W2) Job req# 1654-1