Cypress HCM · 3 months ago
Senior Manager, Commercial Analytics & Data Science
Cypress HCM is seeking a Senior Manager in Commercial Analytics & Data Science. In this role, you will build machine learning models, perform feature engineering, and lead the development of dashboards and visualization tools to impact business strategy and marketing spend allocation.
Human ResourcesInformation TechnologyStaffing Agency
Responsibilities
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
Qualification
Required
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
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
Preferred
Experience in visualization tools. Examples: Databrick AI/BI, Rshiny, Dash, Tableau
Familiarity with Databricks platform is a plus