Manager - Decision Scientist - eCommerce - PhD

Responsibilities:

- Work with various stakeholders within analytics in understanding their business requirements. Formulate the appropriate predictive analytic solutions leveraging statistical and machine learning tools.

- Carrying out a cost benefit comparison of various solutions, not only driven by analytical rigour of the solutions, but also the pragmatic aspects of deployment, data and adoption cost.

- Work with product and tech teams to implement the solutions.

- Create feedback loops.

- Help shape the product roadmaps.

- Drive adoption of the predictive analytic solutions via demonstrating improvement in success metrics and interfacing with business partners from other teams.

Required competency:

- Education: B.Tech. / M.S / Ph.d in Comp Science/Engineering/Operations Research/Data Science/Pure science /Business analytics and related disciplines

- Programming skills: Java / Python / R / C++ (Optional)

- Background and Experience in: Machine Learning, Data Mining, Mathematical and Statistical Modeling, Mathematical Optimization, Simulations.

- Looking for significant research expertise/accomplishment, theoretical depth and business experience in the above areas. Prefer candidates with patents or published papers and a few years of industrial experience.

- Should have experience in developing and implementing analytical solutions for business end use. Prefer candidates with prior experience in eCommerce or Supply Chain.

- Hands on experience in model building, validation, and productionizing.

- Prior experience in working with business leaders and acting as a thought partner.

- Proven hard-problem solving skills.

- 3-5 years of experience working in e-commerce or related industry.

- Excellent computational, programming, data management skills.

- Experience handling big data.

- Excellent organizational and written skills.