Description

You will be responsible for end-to-end data science lifecycle and driving business solutions through data analysis.

Responsibilities

• Lead use cases and workstreams with junior data scientists.
• Contribute to the full model lifecycle: data exploration, feature engineering, training, validation, ensuring quality and scalability.
• Support use case development from initial scoping through to final reporting and presentation.
• Develop predictive models and creative analyses using advanced statistical and AI/ML techniques to meet business objectives.
• Package and deploy models/solutions in collaboration with Data Engineers and MLOps.

Required Skills

• 3+ years of hands-on ML modeling and development experience.
• Solid understanding of data analysis and statistical modeling principles.
• Knowledge of ML techniques (clustering, decision tree, bagging/boosting, ANN) and their practical trade-offs.
• Strong programming skills in Python.
• Hands-on experience with data wrangling, including fuzzy matching, regular expressions, and distributed computing.
• Working knowledge of core software engineering concepts (Git/GitHub, testing, logging).
• Working knowledge of NLP, LLMs, RAG Architecture, and agent frameworks.
• Proven experience in providing technical leadership and mentoring.
• Excellent analytical abilities and experience communicating complex results to non-technical stakeholders.

Key Skills

Education

Any Graduate