Data Scientist - Natural Language Processing Expert

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 ning. The successful candidate will gain exposure to some of Company's most strategically important and chaH2O. Python etc. and work on advanced data mining using techniques such as Machine Learllenging 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)

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

- Develop deep expertise with Company's data warehouse, systems, product and other resources.

- Extract, collate and analyze data from a variety of sources to provide insights to customers

- Collaborate with the research team to incorporate qualitative insights into projects where appropriate

Knowledge, Skills and Experience:

- Exceptional problem solving skills

- Experience with Scala, Spark, Python and H2O

- Advanced data mining and predictive modeling (especially Machine learning techniques) skills

- Must have statistics orientation (Theory and applied)

- 3+ years of business experience in an advanced analytics role

- Strong Python and R programming skills are required. SAS, MATLAB will be plus

- Strong SQL skills are looked for. Very data savvy. Teradata and Hadoop experience is preferred

- Keen ability to visualize data through graphing/ charting/ information display skills

- Analytical and decisive strategic thinker, flexible problem solver, great team player;

- Able to effectively communicate to all levels

- Impeccable attention to detail and very strong ability to convert complex data into insights and action plans