Data Scientist
About The Position
Position: Data Scientist Location: Sunnyvale Duration: 6 Months + 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. - 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. Additional Information All your information will be kept confidential according to EEO guidelines.
Requirements
- 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.
- 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
Nice To Haves
- Prior experience in this area with eCommerce or Online Retail
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What This Job Offers
Career Level
Mid Level
Education Level
Ph.D. or professional degree
