Senior Data Scientist - Operational Research

Roles and Responsibilities

Responsible for developing data science and machine learning models for Myntra Storefront, Supply Chain and other areasConversant with machine learning life cycles, model deployments etc.Theoretical understanding and practice of machine learning and expertise in one or more of the topics, such as Time Series, Forecasting and Optimization.Collaborating with Product and Business to formulate the problem into a Machine Learning model.Connecting with Platforms and Engineering teams to make sure the predictive models built are deployed and integrated into the systems.Working with the Data Platforms teams for understanding, and collecting the data.

Qualifications & Experience

Knowledge on data structures, algorithms and efficient processing of large datasets Well-versed with Python.Good to have publications.2-4 years of experience with MTech, MS by Research or PhD in Computer Science/Electrical Engineering, or post graduate degree in Statistics, Operations Research, or MathematicsExperience in developing efficient Time Series and forecasting solutions.Good to have some experience with large-scale nonlinear & integer programming algorithms - hands on with optimization solvers (CPLEX, Gurobi, COIN-OR etc.)Good to have skills in general Machine Learning and Deep Learning such as Natural Language Processing (NLP): Skills in NLP to develop models that understand and generate human language.Computer Vision: Knowledge of computer vision techniques to interpret images and videos, including object identification and classification.DevOps: Familiarity with DevOps principles and practices for deploying and managing machine learning models in production environments LLM and GenAI Models: Understanding of Large Language Models (LLM) and Generative AI (GenAI) models, including prompt engineering, model evaluation, optimization, and deployment.Domain Knowledge: Expertise in a specific industry or field, enabling better understanding of data and business needs.Ethical Data Science: Awareness of ethical considerations in data science, including privacy, bias and fairness.Collaboration: Strong communication and teamwork skills for effective collaboration with cross-functional teams, including engineers, product managers, and designers.

Required Skills

PythonGurobiPulpCplexOR toolsForecastingtime series