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.
