Data Scientist || Customer Insights & Analytics (Statistics, Spark, Scala, and Python)

Job Responsibilities :

- Implement advanced and predictive analytics models using Spark, Scala, and Python etc.

- Develop next-generation analytic approaches where current generation approaches are not adequate

- Determine when and how to use quantitative research tools to address business problems

- Document the thinking and the details to enable future analysts to reference

Description :

- The Customer Insights & Analytics team works closely with Business Units, Marketing, Measurement and Product teams to answer strategically important business and product questions.

- The team identifies and solves important and complex problems utilizing advanced data analysis and modeling skills.

- Insights from the team are frequently used by Company executives to provide direction and power growth of the Marketplaces Business Unit across the globe.

- On a day to day basis this role will work on implementing advanced and predictive analytics models into production using technologies such as Spark, Scala, and H2O. Python etc. and work on advanced data mining using techniques such as Machine Learning.

- The successful candidate will gain exposure to some of Company's most strategically important and challenging problems and will collaborate with team members and business partners to recommend appropriate solutions.

- An ideal candidate is someone who is strong in traditional statistics and machine learning and can bring one of the following additional - expert level - big data skills to the team along with SQL: Spark, Scala, H2O, mlib, Python (sckit-learn and web development)

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