| Company: | MYNTRA |
|---|---|
| Job Role: | Data Scientist. |
| Experience: | (2-3 years). |
| Vacancy: | 30+ |
| Qualification: | BE/B.Tech, ME/MTech, MCA or related skills. |
| Salary: | ₹ 7.3 LPA. |
| Location: | Bangalore - Karnataka - India. |
| Join us on Telegram | Click Here |
| Apply Mode: | (Online) |
| Deadline: | Not Mentioned |
Myntra is India's leading e-commerce company dedicated to making fashion and lifestyle products available to everyone. By creating solutions that disrupt the ordinary, we make the world a happier, more fashionable place. We are a company that is always evolving into better and better forms, and we are looking for people who are ready to evolve with us. From beginnings as a customization company in 2007 to becoming a technology and fashion pioneer today, Myntra is going places, and we want you to be part of it.
Responsibilities:
- Lead and Own the Thought Process on one or more of our core Data Science problems e.g. Product Clustering, Intertemporal Optimization, etc.
- Actively participate and challenge assumptions in translating ambiguous business problems into one or more ML/optimization problems.
- Implement data-driven solutions based on advanced ML and optimization algorithms to address business problems.
- Research, experiment, and innovate ML/statistical approaches in various application areas of interest and contribute to IP.
- Partner with engineering teams to build scalable, efficient, automated ML-based pipelines (training/evaluation/monitoring).
- Deploy, maintain, and debug ML/decision models in production environment.
- Analyze and assess data to ensure high data quality and correctness of downstream processes.
- Define and own metrics on solution quality, data quality and stability of ML pipelines.
- Communicate results to stakeholders and present data/insights to participate in and drive decision making.
Requirements:
- Bachelors or Masters in a quantitative field from a top tier college.
- Minimum of 3+ years experience in a data science role in a technology company.
- Solid mathematical background (especially in linear algebra, probability theory, optimization theory, decision theory, operations research).
- Familiarity with theoretical aspects of common ML techniques (generalized linear models, ensembles, SVMs, clustering algos, graphical models, etc.), statistical tests/metrics, experiment design, and evaluation methodologies.
- Solid foundation in data structures, algorithms, and programming language theory.
- Demonstrable track record of dealing with ambiguity, prioritizing needs, bias for iterative learning, and delivering results in a dynamic environment with minimal guidance.
- Hands-on experience in at least one of the focus areas of WyngCommerce Data Science team: Product Clustering, Demand Forecasting, Intertemporal Optimization, Reinforcement Learning, Transfer Learning.
- Good programming skills (fluent in Java/Python/SQL) with experience of using common ML toolkits (e.g., sklearn, tensor flow, keras, nltk) to build models for real world problems.
- Computational thinking and familiarity with practical application requirements (e.g., latency, memory, processing time).
- Experience using Cloud-based ML platforms (e.g., AWS Sage maker, Azure ML), Cloud-based data storage, and deploying ML models in product environment in collaboration with engineering teams.
- Excellent written and verbal communication skills for both technical and non-technical audiences.
- (Plus Point) Experience of applying ML / other techniques in the domain of supply chain - and particularly in retail - for inventory optimization, demand forecasting, assortment planning, and other such problems.
- (Nice to have) Research experience and publications in top ML/Data science conferences.
Skills:
- Optimization, Linear Algebra, Time Series Analysis, Algorithms & Data Structures, Machine Learning Data Science Python R.
How to Apply Click on the Below link, it will redirect you to source Page and apply there.
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