Lead Data Science Specialist

Data Scientist: Model Building, Data Analysis, and Project Delivery

Industry Domain Required: Retail/CPG/Ecommerce/FMCG

Job summary We are seeking a highly experienced and motivated Senior Data Scientist to lead complex data projects from ideation to production. The ideal candidate has a proven track record of designing, building, and deploying advanced machine learning models and delivering impactful business solutions. You will translate ambiguous business problems into data-driven strategies, conduct deep-dive analysis, and own the end-to-end project lifecycle while working with cross-functional teams.

Experience: 7+ years of experience as a Data Scientist or in a similar role, with a strong portfolio of successfully delivered data science projects.

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: A master's or PhD in a quantitative field such as Data Science, Computer Science, Statistics, or Mathematics is preferred.