Leverage data analytics and machine learning techniques to inform product development, optimize user experiences, and drive key performance metrics such as user acquisition, engagement, retention, and growth.
Partner with Product, UX and Engineering teams, understand their goals, and execute on opportunities to draw relevant insights and drive tangible impact
Understand our customer needs and design metrics to analyze how our customers are using product and optimize products and features
Conduct experiments, causal studies and A/B tests to measure the impact of product changes
Leverage data to understand product performance and to identify improvement opportunities
Complete the full analytics lifecycle from understanding the business objective and understanding the data to developing automated reporting and visualizations
Effectively present analysis to teams and give data-based recommendations to encourage data-driven decisions, assisting in product ideation and feature launch decisions
Think strategically on how to scale your work
Identify areas for further investigation
Drive a data culture within the Product, UX and Engineering teams

Bachelor's degree and 5+ years of experience (or 7+ years of experience)
Extensive knowledge and practical experience product analytics techniques, machine learning, statistics, experimental design.
Strong understanding of traditional machine learning systems, with expertise in regression and classification models, including model selection, feature engineering, and performance evaluation.
Working knowledge of GenAI Technologies
Proficient analytical skills for problem solving; can perform descriptive analysis, diagnostic analysis, predictive analysis and prescriptive analysis.
Strong programming skills in Python or R
Proficient in SQL and skilled in visualization tools (ex. Tableau)
Strong track record of forming effective cross-functional partnerships
Experience using data to meaningfully impact product, strategy and execution
Experience communicating analysis clearly to others
Ability to research and learn new technologies, tools, and methodologies
Ability to thrive in a dynamic environment, find opportunities and execute in both independent and collaborative environments.

Get to Know Us: At Smartsheet, your ideas are heard, your potential is supported, and your contributions have real impact. You’ll have the freedom to explore, push boundaries, and grow beyond your role. We welcome diverse perspectives and nontraditional paths—because we know that impact comes from individuals who care deeply and challenge thoughtfully. When you’re doing work that stretches you, excites you, and connects you to something bigger, that’s magic at work. Let’s build what’s next, together.
Equal Opportunity Employer: Smartsheet is an Equal Opportunity (EEO) employer committed to fostering an inclusive environment with the best employees. It is our policy to provide equal employment opportunities to all qualified applicants in accordance with applicable laws in the US, UK, Australia, Germany, Costa Rica, Japan, Bulgaria, and India. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.

Senior Data Scientist, Product Analytics

Key skills