Senior Data Scientist
Tasks
- Architect scalable data services
- Build batch and real-time data pipelines
- Build data science projects for online retail
- Collaborate in agile teams to deliver data driven products
- Design and run A B testing frameworks
- Develop AI microservices for data exchange
- Develop machine learning using Spark and AWS
- Develop predictive models and analytics
- Identify new AI opportunities from data
- Lead cross-functional projects
- Mentor junior team members
- Translate research papers into production code
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | AWS | Agile | Airflow | Algorithms | B testing | Best practices | CloudFormation | Computer Vision | Data Structures | Deep learning | Engineering Best Practices | GPU Training | Generative AI | Hypothesis Testing | Infrastructure as Code | LLMs | Language Processing | Machine Learning | Natural Language | Natural Language Processing | Predictive Modeling | PyTorch | Python | Recommendation Systems | SQL | Snowflake | Software Engineering | Software engineering best practices | Spark | TensorFlow | Terraform | “as-code”
Education
Roles
Regions
Countries
States
Cities
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