Job description 

Job overview and responsibilities

As a Data Scientist on the Customer Insights & Analytics team, you will influence a multi-phased insights and advanced analytics strategy that supports a continuous cycle of listening, interpreting, driving action, and monitoring customer feedback.

The key objective of this role is to assist other data scientists in building state-of-the-art ML techniques to understand customer behavior and choices (Churn, CLTV, etc.), enhance qualitative (text) data insights, and automate manual processes. This role requires an individual with excellent analytical abilities who can build data pipelines, engineer features, and run models. We seek creative, driven, detail-oriented individuals who enjoy tackling challenging problems with data and insights. High-level responsibilities of the role include:

•  Work independently to solve business problems using data mining, analysis, and automation.
•  Work with a team of Data scientists and help build Machine Learning models.
•  Work with external teams and Data engineering to build and own data pipelines in AWS.
•  Build dashboards in PowerBI to track modeling results.
•  Prepare presentations summarizing modeling results, provide project updates, and maintain proper documentation
• Communicate with US and India-based internal partners to contribute to analytical support

Qualifications

Required

•  Bachelor’s degree in engineering or a quantitative discipline like Applied Mathematics, Statistics, or Operations Research.
•  Full-time 2+ years’ experience in data science/analytics (DS preferred).
•  Highly proficient in Python and SQL and able to write high-performance, industry-grade, scalable code.
•  An intellectual curiosity for manipulating and analyzing complex, high-volume, high-dimensional data from various sources to highlight patterns and relationships.
• Proven track record of assisting/developing advanced analytics models.
•  Hands-on knowledge of modeling techniques like regression, K-means, time series, etc.
•  Ability to work effectively with people at all levels in an organization.
•  About 1-2 weeks of travel to the US annually.
•  Must be legally authorized to work for any employer without sponsorship in India.
•  Must be fluent in English (written and spoken).
•  Successful completion of an interview is required to meet job qualifications.
•  Reliable, punctual attendance is an essential function of the position.

Preferred

• MBA or master’s degree in data science or in a quantitative field like Math, Statistics, Operations Research
•  Understanding of AWS Services, including Sagemaker, Redshift, Athena, S3 & AWS data lake
•  Experience in developing & deploying the end-to-end data science pipeline into production