Sr. Data Scientist II (Remote Eligible)

The role

You will build ML models and AI sub-agents to drive growth, monetization, efficiency, and retention. You will work end-to-end framing problems, building models, and shipping them into production for millions of users.

What you will do

• Design and ship AI sub-agents that act across the customer lifecycle
• Build predictive and prescriptive models for churn risk, growth, adoption, and account health
• Develop data foundations and knowledge layers for sub-agents
• Design tools, retrieval, and grounding strategies for sub-agents
• Build evaluation harnesses to determine sub-agent quality and catch regressions
• Define metrics and experimentation strategy for sub-agent rollouts
• Partner with Product, Engineering, and Applied AI teams
• Drive a data and modeling culture and mentor other data scientists
• Design metrics to analyze customer product usage and optimize features
• Conduct experiments, causal studies and A/B tests

Required qualifications

• Bachelor’s degree and 8+ years of experience (or 10+ years of experience)
• Deep applied ML expertise in gradient boosting, regularized linear models, transformer-based sequence models, foundation model embeddings, causal ML, contextual bandits, and offline RL
• Strong grasp of causal inference including uplift modeling, difference-in-differences, propensity scoring, and synthetic control
• Solid foundation in statistics and experimental design
• Hands-on experience taking LLM- and agent-based systems to production
• Experience operating ML in production including feature engineering, pipelines, monitoring, and drift detection
• 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 modeling the customer lifecycle and business fluency in SaaS metrics (NRR, GRR, ARR, and cohort economics)
• Strong track record of forming cross-functional partnerships and communicating to technical and executive audiences
• Ability to research and learn new technologies and thrive in a dynamic environment

Nice to have

• advanced degree in a quantitative field (Statistics, CS, ML, Economics, Operations Research, or similar)

Benefits

• Employer subsidized medical/vision and dental coverage
• 401k Match (50% of your contribution up to the first 6% of your eligible pay)
• Monthly stipend to support work and productivity
• Flexible Time Away Program
• Sick Time Off
• Smartsheet-sponsored life, short-term, and long-term disability plans
• 12 paid holidays per year
• Up to 24 weeks of Parental Leave
• Personal paid Volunteer Day
• Access to Udemy online courses
• Company Funded Perks including counseling membership, local retail discounts, and a personal Smartsheet account
• Teleworking options

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.