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Data Scientist

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Exp: 2 - 7 years

Must Haves: SAS, Python, Machine Learning, Big data, Web Analytics, Digital Data

Talents from: eComm/Internet/Adtech/Media/Analytics Only

Job Description

  1. Perform advanced analytics tasks, including but not limited to predictive statistical models, customer profiling, segmentation analysis, data analysis and mining, and external data enhancement using SQL, SAS, R, Python or PySpark
  2. Extract and process large quantities of data from data warehouses and other data marts in support of assignments
  3. Assist in determining quantitative methods for solving client issues
  4. Analyze marketing metrics to identify cause-effect relationships between marketing levers and outcomes
  5. Turn complex data into practical and actionable marketing insights
  6. Consolidate and package up insights, analytic outputs, and action items into a well-organized, consumable package with actionable recommendations and strategies for marketers (MS Excel, PowerPoint, Word, etc.)
  7. Support development of efficient and accurate project management plans for project delivery


  1. 2 - 7 years of industry experience required
  2. Bachelors or Masters degree in Mathematics, Statistics, Economics, Finance, or Engineering required
  3. Strong experience in SQL programming required
  4. Statistical software: SAS, R, strongly preferred, Python, PySpark a plus
  5. Must have strong experience with statistical concepts and applying statistical techniques such as regression, naïve Bayes, decision trees, clustering, factor analysis, time series, random forest, gradient boosting algorithms, etc. to solve business problems
  6.  Understanding of digital data including the systems and processes used to generate and manipulate it by media type (web, ad, email, mobile, etc.) a plus
  7. Web Analytics (Omniture, WebTrends, Google Analytics) experience a plus
  8. Experience in data visualization tools like Tableau a plus
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