Data Scientist (SQL, Python, Java Script) |Sunnyvale, CA

Data Scientist

Design and build new data set processes for modeling, data mining, and production purposes. Determine new ways to improve data and search quality, and predictive capabilities.

Perform and interpret data studies and product experiments concerning new data sources or new uses for existing data sources.

Develop prototypes, proof of concepts, algorithms, predictive models, and custom analysis. Programming skills in one of the following languages: Java, Scala, C/C++. Knowledge of one of the scripting languages such as Python or Perl.

Experience analyzing and interpreting the results of product experiments. Knowledge of statistical languages such as R.

Experience working with large data sets and distributed computing tools (Map/Reduce, Hadoop, Hive, or Spark). Working knowledge of Relational Data Base Systems and SQL.

Experience managing end-to-end machine learning pipeline from data exploration, feature engineering, model building, performance evaluation, and online testing with big data set.

Excellent communications and organizational skills. Prior experience in this area with ecommerce or Online Retail would be a plus.

Minimum Qualifications

PhD: in Computer Science, Statistics or related field; OR a Master’s degree or equivalent in Computer Science, Statistics or related field and 2 years of related experience. Knowledge of machine learning, information retrieval, data mining, statistics, NLP or related field.

• Data analysis (exploring data sources, conducting data analysis in reporting utilizing graphs)
• Building predictive modeling in Python or JavaScript
• Real time implantation of models that they build
• Utilizing data analysis for predictive models to analyze fraudulent behavior.
• Can conduct data analysis in SQL and Python
• Can summarize and communicate results to the business
• Experience building predictive models in Python
• Experience implementing real-time modeling in production environment in JavaScript
• 2+ years of experience
• Efficiency/speed
• Can translate a business question into a clear analytics plan
• Has been involved in a fraud detection project in the past
• Has built anomaly detection or predictive models in the past
• Retail or Finance background is a plus