Senior Data Scientist
Senior Data Scientist
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Job Description
Senior Data Scientist M2
About Team
The Myntra Data Science team is at the forefront of innovation delivering cuttingedge solutions that drive significant revenue and enhance customer experiences across various touchpoints. Every quarter our models impact millions of customers leveraging realtime nearrealtime and offline solutions with diverse latency requirements. These models are built on massive datasets allowing for deep learning and growth opportunities within a rapidly expanding organization. By joining our team youll gain handson experience with an extensive ecommerce platform learning to develop models that handle millions of requests per second with subsecond latency.
We take pride in deploying solutions that not only utilize stateoftheart machine learning techniquessuch as graph neural networks diffusion models transformers representation learning optimization methods and Bayesian modelingbut also contribute to the research community with multiple peerreviewed publications.
Roles and Responsibilities
Design Develop and Deploy: Create and implement advanced machine learning models and algorithms to tackle complex business challenges across various domains including Recommender Systems Search Computer Vision Supply Chain Management (SCM) Pricing Forecasting Trend and Virality Prediction Generative AI and more.
Technical Expertise: Demonstrate deep theoretical knowledge and practical expertise in one or more areas such as Natural Language Processing (NLP) Computer Vision Recommender Systems and Optimization.
Software Development: Develop robust scalable and maintainable software solutions for seamless model deployment.
CI/CD Pipelines: Set up and manage Continuous Integration/Continuous Deployment (CI/CD) pipelines for automated testing deployment and model integration.
Model Maintenance: Maintain and optimize machine learning pipelines including data cleaning feature extraction and model training.
Collaboration: Work closely with the Platforms and Engineering teams to ensure smooth deployment and integration of ML models into production systems.
Data Management: Partner with the Data Platforms team to gather process and analyze data crucial for model development.
Code Quality: Write clean efficient and maintainable code following best practices.
Performance Optimization: Conduct performance testing troubleshooting and tuning to ensure optimal model performance.
Continuous Learning: Stay uptodate with the latest advancements in machine learning and technology sharing insights and knowledge across the organization.
Qualifications & Experience
- Industry Experience: 35 years with a Bachelors degree or 2 years with a Masters/Ph.D. in Computer Science Mathematics Statistics or a related field.
- Machine Learning Expertise: At least 2 years of handson experience as a Machine Learning Engineer or a similar role.
- Production Deployment: Proven experience deploying machine learning solutions into production environments.
- Programming Skills: Strong proficiency in Python or equivalent programming languages for model development.
- ML Frameworks: Familiarity with leading machine learning frameworks (Keras TensorFlow PyTorch) and libraries (scikitlearn).
- CI/CD Tools: Experience with CI/CD tools and practices.
- Communication: Excellent verbal and written communication skills.
- Teamwork & Independence: Ability to work collaboratively in a team environment or independently as needed.
- Workload Management: Strong organizational skills to manage and prioritize tasks supporting your manager effectively.
Exceptional candidates are encouraged to apply even if you dont meet every listed qualification. Were open to hiring individuals who demonstrate outstanding potential.
Nice to Have
- Research Contributions: Publications or presentations in recognized Machine Learning and Data Science journals/conferences.
- Big Data Technologies: Experience with big data technologies like Spark or other distributed computing frameworks.
- Cloud Services: Proficiency in cloud platforms (AWS Google Cloud) and an understanding of distributed systems.
- Generative AI Exposure: Familiarity with Generative AI models.
- Database Management: Experience with SQL and/or NoSQL databases.
- ML Orchestration: Knowledge of ML orchestration tools (Airflow Kubeflow MLFlow).
Required Experience:
Senior IC
Employment Type
Full Time
