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.
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