Smartsheet
Sr Principal Data Scientist
Bangalore, INDIA. Posted 5 months ago
The role
You will set the technical direction for ML models and AI sub-agents to drive growth, monetization, efficiency, and retention. You will architect systems, define modeling standards, and partner with product and engineering leaders.
What you will do
- Set the technical direction for applied ML and agentic AI across the customer lifecycle
- Architect systems behind sub-agents including grounding, risk calibration, and evaluation
- Define modeling, evaluation, and experimentation standards
- Personally ship high-leverage models and sub-agents
- Drive technical decisions on data foundations and knowledge layers
- Partner with senior Product, Engineering, and Applied AI leaders to shape strategy
- Mentor staff and principal data scientists and set hiring standards
Required qualifications
- Bachelor’s degree
- 12+ years of experience (or 14+ years of experience)
- Track record of setting technical direction for applied ML and AI work
- Deep applied ML expertise in gradient boosting, regularized linear models, transformer-based sequence models, foundation model embeddings, causal ML, contextual bandits, and offline RL
- Architect-level grasp of agentic AI systems
- Strong grasp of causal inference for intervention design and lifecycle modeling
- Solid foundation in statistics and experimental design at scale
- Experience operating ML in production at scale
- Proficient in SQL and Python
- Comfort with ML/LLM tooling at scale (Spark, Databricks, Snowflake, or equivalents)
- Experience with ML frameworks (PyTorch, scikit-learn, XGBoost/LightGBM) and visualization tools (Tableau or similar)
- Experience leading lifecycle modeling work and business fluency in SaaS metrics
Nice to have
- advanced degree in a quantitative field (Statistics, CS, ML, Economics, Operations Research, or similar)
About the company
Smartsheet empowers teams to manage work seamlessly and scale solutions smarter. The company is uniting human teams with AI agents to automate manual tasks and uncover insights at scale.