Manager - Data Science - Retail

A leading Retail company are hiring for their data science team. Please read below to know more about the responsibilities.

- Apply data exploration and analysis techniques to examine clickstream, POS, and IOT data from multiple disparate sources, with the goal of improving customer understanding and providing a competitive advantage

- Apply statistical and predictive modeling concepts, clustering and classification techniques, and recommendation algorithms to help optimize customer targeting, reduce churn, and increase customer life-time-value

- Lay the groundwork for reinforcement learning systems for eventual operations optimization expected work

- Build data-science and algorithmic solutions to address business problems requiring descriptive, diagnostic, predictive, and / or prescriptive analytics

- Perform exploratory and targeted data analysis using descriptive statistics and other methods

- Drive new value from insights from connecting external and internal data sources

- Build learning systems to analyze and filter continuous data flows and offline data analysis.

Skills Required.

- B.S. or M.S. in a relevant technical field (Operations Research, Computer Science, Statistics, Business Analytics, Econometrics, or Mathematics). Analytical Development experience of 7+ years preferred.

- Experience in - digital native- company applying advanced analytics with clear vision for applying previous experience in consumer goods industry. Prior experience with Ecommerce space is a strong plus

- Expert knowledge in statistics (Regression, Clustering, Random Forrest, Decision Trees, Optimization, Time Series, Probability, and other related advanced methodologies)