Description

You will lead data science initiatives across the model lifecycle.

Responsibilities

• Lead use cases and workstreams with junior data scientists.
• Contribute to the end-to-end model lifecycle, covering data exploration, feature engineering, training, and validation, ensuring quality and scalability.
• Support use case development, from initial scoping and design to analysis and final reporting.
• Perform data wrangling, matching, and ETL across various sources to prepare modeling datasets.
• Package and deploy models in cooperation with Data Engineers and MLOps.
• Present insights using data visualization and communicate results clearly to decision-makers.

Required Skills

• 3+ years of hands-on ML modeling/development experience.
• Solid understanding of data analysis and statistical modeling.
• Knowledge of ML techniques (clustering, decision tree, bagging/boosting, neural networks) and their trade-offs.
• Strong programming skills in Python.
• Hands-on experience with data wrangling, including fuzzy matching and regular expressions.
• Working knowledge of core software engineering concepts (Git/GitHub, testing, logging).
• Familiarity with NLP, LLMs, RAG architecture, and agent frameworks.
• Excellent analytical and problem-solving abilities with superb attention to detail.

Key Skills

Education

Any Graduate