Data Science: AI/ML / Statistics / OR

Key Responsibilities

• Design, develop and implement operations research, statistical, ML & AI models and algorithms for structured, unstructured text & image data.
• Understand and run efficient analytic database queries, work with datalakes & warehouses.
• Design, develop and implement data pipelines, APIs & agents using above models.
• Understand MLOps for model & data pipeline for managing continuous development/improvement of predictive and prescriptive models to support decision-making software solutions.
• Collaborate with cross-functional teams to understand business needs and provide data-driven insights and solutions.
• Communicate complex analytical results clearly and effectively to stakeholders at all levels in the form of presentations, reports, notebooks & dashboards.
• Understand and work within the information security framework and use necessary techniques for securing data on disk and in memory.
• Stay abreast of the latest industry trends, technologies, and best practices in the above tasks.

Skills required/desired

• Proficiency in programming languages such as Python & R.
• Ability to work with databases, including analytic databases, Graph DB, search DB etc.
• Experience with AI, ML, OR & statistical techniques and algorithms.
• Strong analytical and problem-solving skills.
• Experience with data visualization tools and techniques.
• Excellent communication and presentation skills.
• Experience with tools and technologies commonly used in the field.
• Preferred knowledge & ability to work with opensource tools including (but not limited to) various Apache foundation projects.
• Comfortable working on Linux.
• Perform simulation studies.
• Industry experience in data analytics, consulting, or related fields.
• Develop APIs, agents.
• Develop LLM based solutions (including prompt engineering, RAG pipelines, model tuning).
• Agentic workflow development.

Qualifications

Bachelors in engineering or Masters in Statistics/Maths/Economics or higher in a relevant field such as Operations Research, Statistics, Computer Science or a related discipline.