Data Scientist


  • Mine and analyze data from various sources to drive optimization and improvement of product development.
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques.
  • Develop custom data models and algorithms to apply to data sets.
  • Develop A/B testing framework and test model quality.
  • Implement models and monitor outcomes.
  • Develop processes and tools to monitor and analyze model performance and data accuracy.
  • Defining new data collection and analysis processes.


  • Strong problem-solving skills with an emphasis on product development.
  • Experience in using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
  • Experience in working with and creating data architectures.
  • Experience with distributed data/computing tools like Hadoop, Hive, Spark, etc.
  • Experience in visualization tools (Tableau, Spotfire, R-Shiny, Excel, D3J, etc) is an advantage.
  • Good understanding of machine learning algorithms.
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, etc.) and experience in applying the same.
  • Strong knowledge in Linear Algebra Master’s in Statistics, Mathematics, or Computer Science.
  • Ability to generate comprehensive reports.
  • Attention to detail.