About my Client :

My client is a leading specialty e-retailer offering consumer products, vacations and online education services through an easy and convenient payment plan. Our customers love us because we make paying for their purchases stress and hassle free. The automatic payments help them to avoid penalty fees and ballooning interest associated with other payment options. The fixed payment duration options empower them to budget more efficiently. Ours is a revolutionary e-commerce experience that gives customers access to a better life combined with a responsible way to buy.

What you’ll do:

• Work with enterprise/application/solution architects, product architects, product owners, other data scientists and engineers to bring Big Data and data science R&D projects to a scalable form where they can be deployed into production

• Develops and maintains scalable predictive models and drive insights that can be of value to the business

• Demonstrate technical expertise and provide guidance to business stakeholders on how to gain value from the data science initiatives

• Understanding of conceptual, logical, and physical architectures for cloud-based data solutions – AWS preferred.

• Develop end-to-end solutions and frameworks for such projects. Monitor and track effectiveness Define best practices & frameworks for capabilities across data and analytics landscape.

• Designs and evaluates open source and vendor tools for data lineage

• Works closely with all business units and engineering teams to develop strategy for consumption of insights

• Document the processes and maintain code repositories in Github

Requirements

• Experience with Python(preferred), Shell Scripting and/or R and SQL

• Experience working with a data pipeline in the public cloud (AWS highly preferred).

• Data Visualization: any of Tableau (preferred), PowerBI, QlikView

• At least 3-5 years of data science experience

• Experience in eCommerce, Retail & Finance is preferred

• In-depth understanding of statistical and predictive techniques like regression, classification and forecasting

• Knowledge of techniques such as but not limited to Linear and Logistic regression, Random Forest, Boosting and Bagging techniques, SVM, Clustering and time series forecasting

• Familiarity with data visualization tools

• Strong interpersonal and management skills.

• Excellent verbal and written communication skills.

• Enterprise Database: Oracle, SQL Server

• Retail industry knowledge and experience required

• Source control knowledge: GitHub • Agile / Scrum experience preferred

• To be able to work in a fast-paced agile development environment

• Bachelors degree in a Mathematical subject (Computer Science / Math / Statistics / Economics)