Senior Data Scientist

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.