Data Scientist

Role: Data Scientist

Seniority Level: Mid-level

Preferred Education: B Tech or B.E. (Computer Science / Information Technology)

Required Experience: 1+ years as a Data Scientist or similar roles

Key Responsibilities:

- Mine, process, and analyze web, product, sales, and digital marketing data to empower teams to make data-driven decisions

- Utilize traditional machine learning techniques and language models to build AI agents for business needs

- Contribute to building and deploying predictive models and machine learning algorithms across customer datasets

- Support the deployment of machine learning models into production environments

Must-Have Skills/Technologies:

- Hands-on experience with LLM models and basic knowledge of evaluation metrics for LLMs

- Knowledge of machine learning techniques including supervised and unsupervised learning

- Proficiency in Python, SciKit, SQL, Jupyter Notebooks

- Understanding of cloud platforms for data science tasks

- Basic understanding of data mining and statistical analysis techniques

- Knowledge of designing and deploying agentic systems

- Exposure to knowledge bases, retrieval systems (RAG architecture)

Good-to-Have Skills/Technologies:

- Continuous learning of latest advances in transformers, generative AI models, retrieval-augmented generation (RAG), and agentic AI frameworks

- Experience with integrating LLM agents with APIs

- Knowledge of maintaining data models and improving taxonomy

- Familiarity with A/B testing plans

- Understanding of model activation strategies

Must-Have Soft Skills:

- Good logical reasoning and analytical skills

- Good communication skills in English (written and verbal)

- Demonstrate ownership and accountability of work

- Attention to details

Good-to-Have Soft Skills:

- None mentioned explicitly as preferred but not required.