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Data Scientist/Machine Learning Engineer

Company Name: CrediBLL Inc.
Location: San Francisco, CA
Date Posted: 15th Feb, 2017
  • Develop and own business-level forecasting algorithms and applications (product demand, sales, & customers)
  • Influence strategic and tactical business decisions based on insights into future demand
  • Find creative solutions to business problems using advanced mathematical algorithms
  • Develop relevant metrics that enable improved decision-making across business functions
  • Develop methods to help users understand and use forecasts.

Must have:

  • Time series forecasting
  • R or Python scripting


  • Advanced Degree (Master's or PhD) in a technical field preferred
  • 5-7 years of demonstrated success in business analytics, operational and financial forecasting
  • Strong knowledge of the mathematical foundations of statistical inference and forecasting such as time series analysis, multivariate analysis, cluster analysis, and optimization
  • Ability to develop statistical analysis or machine learning software in R
  • Proficient programming and analytical skills in major analytics software packages such as R and Python
  • Excellent SQL skills; comfortable using various data access tools