Senior Data Scientist

  • 38594
  • Non-Life - Data Science
  • |
  • California, United States
  • |
  • Nov 11, 2020
Other
RESPONSIBILITIES
  • Develop, creative solutions and build prototypes to business problems using algorithms based on machine learning, statistics, and optimization, and work with engineering/product to productionize those algorithms and create impact in production.
  • Drive clarity and solve ambiguous, challenging business problems using data-driven approaches.
  • Propose and guide the framework of data analysis to drive business insight and facilitate decisions.
  • Establish standard methodologies for data science including modeling, coding, analytics, and experimentation.
  • Leverage data to understand product performance and to identify improvement opportunities.
  • Design product experiments and interpret the results to draw detailed and impactful conclusions.
  • Communicate with senior management and multi-functional teams.
  • Provide recommendations to assist quick product ideation and feature launch decisions.
  • Build intelligent data-driven products to provide the best user experience.
QUALIFICATIONS
  • Ph.D., M.S. or Bachelor’s degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields.
  • Knowledge of underlying mathematical foundations of statistics, machine learning, optimization, economics, and analytics.
  • Knowledge of experimental design and analysis.
  • Experience with exploratory data analysis, statistical analysis and testing, and model development.
  • Ability to use a language like Python or R to work efficiently at scale with large data sets.
  • Proficiency in languages like SQL, R, and Spark.
  • Preferred:
  • Tech lead experience is a plus.
  • Experience with productionizing algorithms for real-time systems.
  • Proficiency in Java or Scala.
  • Advanced experience in experimental design and analysis, causal inference.