Data Scientist
Tasks
- Build deployable machine learning models
- Create documentation for learnings and knowledge transfer
- Create reusable packages or libraries
- Drive platform toolset demonstrations to the business
- Lead large scale experimentation
- Partner with data engineers on data access and preparation
- Partner with product managers on tickets and story points
- Present findings to stakeholders
- Provide data-based recommendations
- Refine requirements into modeling problems
- Research state-of-the-art methodologies
- Set KPIs and metrics for analytics solutions
Perks/Benefits
Skills/Tech-stack
Agile | Classification | Data Documentation | Distributed machine learning | Docker | Git | Jenkins | KPI | LLM | Machine Learning | NLP | PySpark | Python | Regression | Reinforcement Learning | Responsible AI | SQL | Statistical modeling | Unsupervised Learning
Education
N/A
Roles
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