Express Analytics - Lead Data Scientist - AI/ML

Job Responsibilities:

- Ability to understand a problem statement and implement analytical solutions & techniques independently or with minimal supervision.

- Fast learner: ability to learn and pick up a new language/ tool/ platform quickly

- Conceptualize, design and deliver high-quality solutions and insightful analysis

- Conduct research and prototyping innovations; data and requirements gathering; solution scoping and architecture; consulting clients and client-facing teams on advanced statistical and machine learning problems.

- Ability to deliver AI and ML-based solutions around a host of problems within CPG, with some of them being: Forecasting, Recommender Systems, Customer Segmentation and targeting, Propensity Modeling, CRM, Sales incentive optimization, Marketing Mix Optimization, Price Optimization

- Have experience in LLM and Generative AI

- Work and collaborate with other teams to deliver and create value for clients

Experience Required:

- 6+ years of experience in implementing advanced ML in different projects.

- Expert-level proficiency in Python or R, Python is preferred.

- Ability to discover effective solutions to complex problems. Strong skills in data structures and algorithms.

- Experience working on a project end-to-end: problem scoping, data gathering, EDA, modelling, insights, and visualizations

- Problem-solving: Ability to break the problem into small problems and think of relevant techniques which can be explored & used to cater to those

- Advanced knowledge of machine learning, probability theory, statistics, and algorithms.

- CPG experience: pricing and trade promotion analytics, marketing analytics, supply chain management, market basket analysis, assortment optimization, campaign analytics, category management

- Should be able to use regression, classification, Bayesian methods, neural networks, tree-based learners, SVM, RF, XGBOOST, time series modelling, dimensionality reduction, clustering, NLP etc on a regular basis.

Good to Have:

- Experience in one of the upcoming technologies like deep learning, NLP, image & video analytics, recommender systems

- Experience in working with AWS environment or Azure

- Grasp at databases including RDBMS, NoSQL, MongoDB etc.

Education Qualification

- B.Tech / M.Tech in Computer Science / Mathematics / Signal Processing or related fields