Factspan Analytics - Data Scientist

We at Factspan are looking for Data Scientist for our Bangalore Analytics hub.

Position: Data Scientist

Location: Bangalore

Factspan Overview:

Factspan is a pure play analytics company. We partner with you to build an analytics center of excellence, generating insights and solutions from your data to solve business challenges, make strategic recommendations and implement new processes that help you succeed. With offices in Seattle, USA, and Bangalore, India; we use a global delivery model to serve our clients. Our clients include Fortune 500 companies in Retail, Financial Services, Hospitality and Technology sectors.

Responsibilities:

- Work with large, complex datasets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct end-to-end analysis that includes data gathering from various data storage platforms and requirements specification, processing, analysis, ongoing deliverables, and presentations.

- Hands-on expertise in Machine Learning models using R/Python, SQL, well versed in statistical methodology including deep expertise and experience with statistical data analysis

- Build and prototype analysis pipelines iteratively to provide insights at scale.

- Develop complex research projects. This includes determining appropriate methodologies and approach, coordinating the work of others, complex data analysis, preparing presentations and properly documenting the project work.

- Leading large-scale projects from start to finish and deriving insights, not just analysis for what the company should do.

- Create cutting-edge analytical solutions for clients.

Skills:

- 3-8 years of experience

- Bachelor- s/Master's Degree in Engineering, Statistics, Mathematics.

- Excellent hands-on working knowledge in R, Python, advanced predictive modeling, SQL.

Behavioural Attributes:

- Analytical thinking

- Excellent Verbal/Written communication

- Excellent Interpersonal & Presentation skills

- Willingness to go beyond the textbook while applying statistics in a business situation which typically entails less than ideal data quality/quantity

Reference Links:

- www.factspan.com

- https://www.facebook.com/factspan