Data Scientist

Touch of Modern   •  

San Francisco, CA

Industry: Retail & Consumer Goods


5 - 7 years

Posted 195 days ago

This job is no longer available.

What you'll be doing:

  • Be a highly analytical leader with a strong customer/vendor focus and the ability to solve highly complex business problems
  • Generate actionable insight in support of decisions related to business strategy, revenue and profit forecasting, performance assessment of on- and offline marketing efforts, development of pricing strategies, logistics (shipment & fulfillment) and inventory optimizations, and customer segmentation
  • Apply advanced algorithms to large ecommerce data sets (e.g., clickstream and customer order data) in real-time systems
  • Perform rapid prototyping of experimental solutions and develop robust, maintainable production systems in statistical languages such as Python
  • Hire, train, manage and develop a small team of data analysts

What you bring to this role:

  • Master’s or PhD in statistics, econometrics, computer science, mathematics, or similar
  • 5+ years experience as a Data Scientist or similar role for Business Intelligence projects
  • Experience with Redshift, large data ETL, and advanced SQL
  • Experienced in machine learning and multivariate regression
  • Thorough understanding of Bayesian statistics and demonstrated ability to apply that knowledge effectively
  • E-commerce experience - comfortable handling clickstream data combined with a deep understanding of LTVs, contribution margins, CACs, AOVs, etc. and appropriate ways to model them
  • A deep sense of curiosity
  • Obsession with data and algorithms to solve business problems
  • Comfort working within a modern engineering environment (Linux, system architecture, Java, Python, R, multithreaded programming)
  • Ability to script experimental solutions, select and use the most appropriate statistical analysis tools to answer specific business questions
  • Thoughtful, results-driven personality, with a high level of enthusiasm, energy and confidence
  • Excellent analytical, communication, organizational and presentation skills
  • Ability to demonstrate flexibility and integrity: be able and willing to work hands on, independently or with a small team providing leadership
  • Experience working at a growth-stage startup company
  • Experience with large scale algorithm challenges