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Sr Principal Data Scientist | Applied ML and Agentic AI

Smartsheet · Bengaluru, India

Verified live on August 5, 2026
By the Daily Tech Jobs desk at munotes.in · Published · About us · Contact
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Smartsheet
Bengaluru, IndiaFull-time12+ years (or 14+ without a degree)

About this role

The most senior individual contributor data science role in today's list. Smartsheet wants someone who has set technical direction for applied machine learning that actually shipped, across both traditional and deep learning: gradient boosting and regularised linear models through to transformer sequence models, foundation model embeddings, causal machine learning, contextual bandits and offline reinforcement learning. On top of that it asks for an architect level grasp of agentic AI systems covering tool use, retrieval, multi step reasoning, evaluation and guardrails. That combination of classical rigour and current agentic work is unusual to see demanded together. Stated bar is a bachelor's degree with twelve or more years, or fourteen or more years without one, with an advanced quantitative degree strongly preferred.

Who this is for

Published requirement: a Bachelor's degree and 12+ years of experience, or alternatively 14+ years of experience, with an advanced degree in a quantitative field such as statistics, computer science, machine learning, economics or operations research strongly preferred. We have recorded twelve as the minimum so the role filters correctly, but note the fourteen year alternative route exists if you do not hold the degree, which is a genuinely useful detail that most postings omit. Further requirements as published: a track record of setting technical direction for applied ML and AI work that ships and matters, covering major initiatives, complex systems or new modelling paradigms taken from idea through to production impact; deep applied ML expertise across both traditional ML and deep learning, specifically naming gradient boosting, regularised linear models, transformer based sequence models, foundation model embeddings, causal ML, contextual bandits and offline reinforcement learning; and an architect level grasp of agentic AI systems including tool use, retrieval, multi step reasoning, evaluation and guardrails. Location is Bangalore. An office reality check you should not skip. Smartsheet tags its India roles as remote in its own job board metadata while several of its India job titles simultaneously say hybrid in Bangalore. That contradiction has appeared on this employer's postings on multiple days now. This particular requisition does not carry the hybrid wording in its title, but given the pattern we would not treat any remote tag from this employer as reliable. Confirm the office expectation in writing before you progress. Also worth knowing: this employer opens its postings with a line about having operated for over twenty years, which is a statement about the company and not an experience requirement, and it is exactly the kind of sentence that automated tools misread as a years figure. Good fit for a very senior applied scientist who wants breadth across classical and agentic ML.
Apply on company site Opens job-boards.greenhouse.io, the employer's own application page. Applying is always free.
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