Position: Senior Data Scientist
Company: Myntra
Location: Bangalore
Job type: Full-time
Job mode: On-site
Job requisition id: NA
Years of experience: 2-4 years
Company Description
Myntra is a leading e-commerce platform renowned for its comprehensive collection of fashion and lifestyle products. With a commitment to innovation and customer satisfaction, Myntra thrives on delivering exceptional experiences to its vast consumer base.
Profile Overview
The Senior Data Scientist role at Myntra is a dynamic opportunity to contribute to cutting-edge data science solutions that drive revenue and enhance customer experiences. As part of a collaborative team, you will leverage your expertise to develop and deploy machine learning models across various domains, including Myntra Storefront and Supply Chain. This role offers exposure to a rapidly growing organization and the chance to work with massive datasets, fostering professional growth and skill development.
Qualifications
- Proficiency in data structures, algorithms, and efficient processing of large datasets.
- Strong command of Python programming language.
- Preferable publications demonstrating expertise in the field.
- 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 Mathematics.
- Experience in developing efficient Time Series and forecasting solutions.
- Familiarity with large-scale nonlinear & integer programming algorithms and optimization solvers (CPLEX, Gurobi, COIN-OR, etc.).
- Knowledge and skills in:
- Natural Language Processing (NLP): Ability to develop models for language understanding and generation.
- Computer Vision: Proficiency in interpreting images and videos, including object identification and classification.
- DevOps: Understanding of DevOps principles for deploying and managing machine learning models in production environments.
- LLM and GenAI Models: Familiarity with Large Language Models (LLM) and Generative AI (GenAI) models, including prompt engineering, model evaluation, optimization, and deployment.
- Domain expertise in a specific industry or field, facilitating better understanding of data and business requirements.
- Awareness of ethical considerations in data science, including privacy, bias, and fairness.
- Strong communication and teamwork skills for effective collaboration with cross-functional teams.
Roles and Responsibilities
- Develop data science and machine learning models for Myntra Storefront, Supply Chain, and other relevant areas.
- Implement machine learning life cycles, including model deployments.
- Demonstrate theoretical understanding and practical application of machine learning concepts, specializing in areas such as Time Series, Forecasting, NLP, Computer Vision, and Optimization.
- Collaborate with Product and Business teams to translate problems into machine learning models.
- Liaise with Platforms and Engineering teams to ensure seamless integration and deployment of predictive models.
- Work closely with Data Platforms teams to comprehend and gather relevant data.
Additional Information
- Opportunity to contribute to impactful projects that shape the future of e-commerce.
- Exposure to state-of-the-art machine learning models and research methodologies.
- Chance to work with massive datasets and gain insights into building models for real-time applications.
- Collaborative work environment fostering professional growth and skill development.
- Commitment to ethical data science practices and awareness of societal implications.
- Supportive culture emphasizing communication and teamwork for successful project execution.
Please click here to apply.
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