Senior Data Scientist

Looking for Retail/CPG/FMCG domain only.

Job summary

Experience:

Roles and Responsibilities

• Serve as expert in Data Science, build framework to develop Production level DS/AI models.
• Apply AI research and ML models to accelerate business innovation and solve impactful business problems for our clients.
• Lead multiple teams across clients ensuring quality and timely outcomes on all projects.
• Lead and manage the onsite-offshore relation, at the same time adding value to the client.
• Partner with business and technical stakeholders to translate challenging business problems into state-of-the-art data science solutions.
• Build a winning team focused on client success. Help team members build lasting career in data science and create a constant learning/development environment.
• Present results, insights, and recommendations to senior management with an emphasis on the business impact.
• Build engaging rapport with client leadership through relevant conversations and genuine business recommendations that impact the growth and profitability of the organization.
• Good experience with Retail, Consumer/White Goods industry, specifically in retail or Consumer Goods Demand Forecasting , Price Elasticity Model, Pricing or Assortment or Inventory or route Optimization, Promotion impact & simulation modeling, Customer or any type of Segmentation,
• Experience with market basket analysis & Recommendation models are welcome

Technical expertise:

• Expertise in ML Regression, Classification, Clustering, Time Series Modeling, Graph Network, Recommender System, Bayesian modeling, Deep learning, Computer Vision, NLP/NLU, Reinforcement learning, Federated Learning, Meta Learning.
• Proficient in some or all of the following techniques: Linear & Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Support Vector Machines ANOVA , Principal Component Analysis, Gradient Boosted Trees, ANN, CNN, RNN, Transformers.
• Knowledge of programming languages SQL, Python/ R, Spark.
• Expertise in ML frameworks and libraries (TensorFlow, Keras, PyTorch).
• Experience with cloud computing services (AWS, GCP or Azure)
• Expert in Statistical Modelling & Algorithms E.g. Hypothesis testing, Sample size estimation, A/B testing
• Knowledge in Mathematical programming Linear Programming, Mixed Integer Programming etc , Stochastic Modelling Markov chains, Monte Carlo, Stochastic Simulation, Queuing Models.
• Experience with Optimization Solvers (Gurobi, Cplex) and Algebraic programming Languages(PulP)
• Knowledge in GPU code optimization, Spark MLlib Optimization.
• Familiarity to deploy and monitor ML models in production, delivering data products to end-users.
• Experience with ML CI/CD pipelines.

Education: