Data Science Data Science Senior Data Scientist

15 hours ago

Chennai, Tamil Nadu, India GITAA Full time
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). 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.

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.

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.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.

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.

AI algorithms & foundations beyond the basics: regularization, ensembles, search/optimization heuristics.

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., LLM/GenAI: prompts, embeddings, RAG, fine-tuning/PEFT, evaluation & safety.

Exposure to real-world AI/ML applications at scale.

Competitive salary commensurate with experience and qualifications.

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