Verified Job
IT / Software / Data Analyst
Data Scientist - OR
IT / Software / Data Analyst
#746568
Remote / WFH
Myntra · Bengaluru, Karnataka ·
Job Description
Job description
Responsibilities:
• Design, develop, and deploy advanced machine learning models and algorithms for Forecasting, Operations Research, and Time Series applications.
• Build and implement scalable solutions for supply chain optimisation, demand forecasting, pricing, and trend prediction.
• Develop efficient forecasting models leveraging traditional and deep learning-based time series analysis techniques.
• Utilise optimisation techniques for large-scale nonlinear and integer programming problems.
• Hands-on experience with optimisation solvers like CPLEX, Gurobi, COIN-OR, or similar tools.
• Collaborate with Product, Engineering, and Business teams to understand challenges and integrate ML solutions effectively.
• Maintain and optimise machine learning pipelines, including data cleaning, feature extraction, and model training.
• Implement CI/CD pipelines for automated testing, deployment, and integration of machine learning models.
• Work closely with the Data Platforms team to collect, process, and analyse data crucial for model development.
• Stay up to date with the latest advancements in machine learning, forecasting, and optimisation techniques, sharing insights with the team.
Requirements:
• 1-3 years of experience with a Master's degree or 2-4 years of experience with a Bachelor's degree in Statistics, Operations Research, Mathematics, Computer Science, or a related field.
• Strong foundation in data structures, algorithms, and efficient processing of large datasets.
• Proficiency in Python for data science and machine learning applications.
• Experience in developing and deploying forecasting and time series models.
• Knowledge of ML frameworks such as TensorFlow, PyTorch, and Scikit-learn.
• Hands-on experience with optimisation solvers and algorithms for supply chain and logistics problems.
• Strong problem-solving skills with a focus on applying OR techniques to real-world business challenges.
• Good to have research publications in Machine Learning, Forecasting, or Operations Research.
• Familiarity with cloud computing services (AWS, Google Cloud) and distributed systems.
• Strong communication skills with the ability to work independently and collaboratively in a team environment.
• Experience with Generative AI and Large Language Models (LLMs).
• Knowledge of ML orchestration tools such as Airflow, Kubeflow, and MLflow.
• Exposure to NLP and Computer Vision applications in an e-commerce setting.
• Understanding of ethical considerations in AI, including bias, fairness, and privacy.
• Exceptional candidates are encouraged to apply, even if they don't meet every listed qualification.
Responsibilities:
• Design, develop, and deploy advanced machine learning models and algorithms for Forecasting, Operations Research, and Time Series applications.
• Build and implement scalable solutions for supply chain optimisation, demand forecasting, pricing, and trend prediction.
• Develop efficient forecasting models leveraging traditional and deep learning-based time series analysis techniques.
• Utilise optimisation techniques for large-scale nonlinear and integer programming problems.
• Hands-on experience with optimisation solvers like CPLEX, Gurobi, COIN-OR, or similar tools.
• Collaborate with Product, Engineering, and Business teams to understand challenges and integrate ML solutions effectively.
• Maintain and optimise machine learning pipelines, including data cleaning, feature extraction, and model training.
• Implement CI/CD pipelines for automated testing, deployment, and integration of machine learning models.
• Work closely with the Data Platforms team to collect, process, and analyse data crucial for model development.
• Stay up to date with the latest advancements in machine learning, forecasting, and optimisation techniques, sharing insights with the team.
Requirements:
• 1-3 years of experience with a Master's degree or 2-4 years of experience with a Bachelor's degree in Statistics, Operations Research, Mathematics, Computer Science, or a related field.
• Strong foundation in data structures, algorithms, and efficient processing of large datasets.
• Proficiency in Python for data science and machine learning applications.
• Experience in developing and deploying forecasting and time series models.
• Knowledge of ML frameworks such as TensorFlow, PyTorch, and Scikit-learn.
• Hands-on experience with optimisation solvers and algorithms for supply chain and logistics problems.
• Strong problem-solving skills with a focus on applying OR techniques to real-world business challenges.
• Good to have research publications in Machine Learning, Forecasting, or Operations Research.
• Familiarity with cloud computing services (AWS, Google Cloud) and distributed systems.
• Strong communication skills with the ability to work independently and collaboratively in a team environment.
• Experience with Generative AI and Large Language Models (LLMs).
• Knowledge of ML orchestration tools such as Airflow, Kubeflow, and MLflow.
• Exposure to NLP and Computer Vision applications in an e-commerce setting.
• Understanding of ethical considerations in AI, including bias, fairness, and privacy.
• Exceptional candidates are encouraged to apply, even if they don't meet every listed qualification.
