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Sr. Data Scientist II - Product Analytics

Smartsheet

Salary not specified
Aug 21, 2025
Seattle, WA, US
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Smartsheet is looking to drive growth through analytics and make a meaningful impact with thousands of subscribing organizations and millions of users

Requirements

  • Extensive knowledge and practical experience in several of the following areas: product analytics techniques, machine learning, statistics, experimental design
  • 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)
  • 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

Responsibilities

  • 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
  • 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

Other

  • Bachelor's degree and 8+ years of experience (or 10+ years of experience)
  • Strong track record of forming effective cross-functional partnerships
  • Ability to thrive in a dynamic environment, find opportunities and execute in both independent and collaborative environments
  • Ability to communicate key insights effectively
  • Experience working with Marketing and Engineering teams