• The ideal candidate would be adept at understanding customer's business challenges and define appropriate analytics approach to design solution
• Should be able to convert mathematical/ statistics-based research/ academic literature into sustainable data science solutions
• This is a hands-on role, will be required to manage day to day delivery activities and guide team in executing analytics projects by analysing large volume of data
• Research and bring innovations to develop next generation solutions in core functional areas related to Promotion Effectiveness, Forecasting with detrending methods, Digital Marketing, Customer Relationship Management (CRM), Campaign Management & Data Insights etc.
• Provide technical thought leadership, coaching and mentorship in the field of data science in working with engineering and other cross functional teams
• Evolve the approach for the application of machine learning/deep learning to existing program and project disciplines
• He / She would also be responsible for creating Business & technical presentations, reports etc. to present the analysis findings to the end clients and for business development
• This role requires excellent communication skills.

Technical Experience: (not all technical exposures are expected from one individual)

Must Have:

• Clustering, Decision Tree, Random Forest, Support Vector Machine, Naïve Bayes, GBM, XGBoost, Multiple linear regression, Logistic regression, ARIMA/ARIMAX
• Tools: Python, SQL, Spark

Good to Have:   

• Hands on experience in developing models (end to end)
• Model automation, Bayesian Inference/simulators, Bayesian Filters, GLM (Generalised Linear Models), GMM (Gaussian Mix Models) etc
• Recommended system (ALS, MF, Collaborative filtering and Content Filtering), Deep Learning methods
• Optimization Method like BFGS, differential evolutionary, MOO (multi objective optimization) etc
• Sound understanding of mathematics like probability theory, differential calculus, Laplace and Furrier transformations etc
• Tools: TensorFlow, big data, Experience on AWS platforms, Knowledge of any visualization tools like Tableau, Quick sight, Qlik sense, Power BI etc. is a plus

Functional/Domain Experience:

·  Good exposure to Retail, and/or e-commerce

• ·  Relevant Experience: 5+ years of hands on experience in CPG/Retail industry