Senior Data Scientist

About GITAA:

GITAA, an IIT Madras incubated company, is founded by experienced academics from the Indian Institute of Technology, Madras. Our founders bring in a wealth of expertise and knowledge in data science and engineering disciplines. GITAA is a leading provider of edtech solutions, training and technology consulting services. We build custom AI & ML solutions that turn data into business outcomes. Recent work spans retail analytics (SERVQUAL-based customer segmentation on service-request data to drive upsell, cross-sell, and loyalty), engineering analytics in manufacturing (self-supervised anomaly detection under sparse labels to cut scrap and downtime), data audit & governance (DGQI evaluations with IIT Madras to close policy–practice gaps), sports analytics (real-time cricket innings forecasts and dynamic win probabilities), and aviation—including regional carriers like FLY91—(network and revenue optimization across route profitability, demand forecasting, dynamic pricing, on-time performance, and customer segmentation). These are a few of our focus areas; we're continually expanding into new domains.

Job Description:

We are looking for Senior Data Scientists who are passionate about advanced data science, machine learning, and AI-driven innovations. You will develop data-driven applications, mentor junior team members, and collaborate with subject matter experts to design scalable and impactful solutions.

Responsibilities:

• Design, develop and deploy advanced data science and machine learning models.
• Provide technical mentorship to junior data scientists.
• Conceptualize and deliver solutions in core areas such as deep learning, natural language processing (NLP), and advanced statistical modeling.
• Collaborate with cross-functional teams to translate business needs into data-driven strategies.
• Drive research and innovation in AI/ML applications for the education and corporate training sector.
• Ensure best practices in coding, model validation, version control, and reproducibility.
• MLOps ownership: define the ML platform roadmap and standards (CI/CD, registry, feature store, observability), ensuring alerting, incident response, and rollback are in place.
• Proven production experience with LLM/GenAI: prompts/embeddings, RAG, PEFT/fine-tuning, evaluation, and safety/guardrails.

Qualifications:

• B.Tech, Dual Degree, M.Tech, or Master's in Engineering, Computer Science or Data Science from a reputed institution, with a minimum CGPA of 7.5.
• Minimum 3+ years of industry or research experience in data science and machine learning.
• Demonstrated expertise in deep learning frameworks (TensorFlow, PyTorch), big data technologies, and scalable ML systems.

Required Skills:

• Strong foundation in advanced statistics, machine learning algorithms, and optimization techniques.
• Experience with cloud platforms (AWS, GCP, or Azure) and deployment of ML pipelines. Docker/Kubernetes or managed ML.
• Strong background in NLP, computer vision, or recommender systems.
• Expertise in Python with IDEs (PyCharm, VS Code) plus proficiency in Git/GitHub and modern team practices (branching, PRs, reviews, CI/CD).
• Hands-on experience with MySQL and PostgreSQL.
• Excellent problem-solving and communication skills.
• AI algorithms & foundations beyond the basics: regularization, ensembles, search/optimization heuristics.
• Reinforcement learning basics: MDPs, bandits, policy/value methods; exposure to Gym or RLlib is a plus.
• Big data & systems: willingness to explore front-end/back-end concepts and big data frameworks (e.g., Spark, Kafka);
• LLM/GenAI: prompts, embeddings, RAG, fine-tuning/PEFT, evaluation & safety.

What We Offer:

• A collaborative, intellectually rich environment in Chennai.
• Opportunities to cutting-edge EdTech innovations.
• Exposure to real-world AI/ML applications at scale.
• Mentorship and collaboration with IITM professors and leading industry specialists.
• Competitive salary commensurate with experience and qualifications.

Interested candidates may send their resume to:

To know more about us, visit