Senior Data Scientist

About the job

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, 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.

Requirements

• Machine Learning
• Data Science
• Python
• SQL
• Deep Learning
• NLP

Qualifications

• Master's or PhD in Data Science
• Computer Science
• Statistics
• Mathematics

Preferred Technologies

• Machine Learning
• Data Science
• Python
• SQL
• Deep Learning
• NLP