Data Scientist

    • Woodland Hills, CA

Job Duties & Responsibilities

  • Bring Creativity to Data products.
  • Analyze transaction data.
  • Build models to predict possible finance operation inconsistencies.
  • Use machine learning methods to perform transaction matching (matching algorithms).
  • Cleanse raw data for use in models.
  • Perform data munging, data mining, clustering & classification methods, pattern recognition.
  • Comfortable with Statistics, Calculus & Multivariate analysis.
  • You will work closely with a small R&D team with Product Managers, Data Engineers & Analysts. The R&D team will experiment with the data and come up with POC's.
  • Familiar with SQL, Python, R, Spark MLib, AWS, SQL Server, Redshift.
  • Most of the data currently lives in SQL Server. We are experimenting with AWS Redshift as well. Python for coding and someone with experience with Spark MLib & Machine learning is a big plus.


  • Extensive experience solving analytical problems using quantitative approaches.
  • Comfort manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources.
  • A strong passion for empirical research and for answering hard questions with data.
  • A flexible analytic approach that allows for results at varying levels of precision.
  • Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner.
  • Familiarity with relational databases and SQL
  • Expert knowledge of an analysis tool such as R, Matlab, or SAS
  • Strong working knowledge of financials
  • Acquired skills would include Data Warehousing, ETL, BI, Data Mining, and Machine Learning.
  • Strong written and verbal skills – able to explain the work in plain language
  • MS in Computer Science or other quantitative disciplines or BA with 2+ years applicable experience

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