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Senior Manager, Commercial Analytics & Data Science
Senior Manager, Commercial Analytics & Data ScienceCypress HCM • Washington, DC, US
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Senior Manager, Commercial Analytics & Data Science

Senior Manager, Commercial Analytics & Data Science

Cypress HCM • Washington, DC, US
1 day ago
Job type
  • Full-time
Job description

Job Description

Job Description

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

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    Manager Data Science • Washington, DC, US

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