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Senior Data Scientist (Product Analytics)

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Onsite

Senior Data Scientist (Product Analytics)

Smartsheet

Senior Data Scientist (Product Analytics)

Skills

SQL QueriesTableauPythonData ScienceRData AnalysisMachine Learning

5 days ago

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Important information


Contract type:

Permanent

Salary:

$155,000 – $185,000 / year

Location:

United States

Work mode:

Onsite

Published on:

18 October 2026

What they need


  • Smartsheet is looking for an experienced Senior Data Scientist to drive help guide analyses, create predictive and prescriptive insights, and influence decisions
  • With thousands of subscribing organizations and millions of users there is lots of opportunity to make a meaningful impact and increase growth through analytics within Smartsheet
  • You are curious, have strong data science and machine learning skills and the ability to communicate key insights effectively. You will work primarily with Product teams and will be a part of Smartsheet’s Business Intelligence team
  • This full-time position reports to the Sr. Director of Data Science
  • 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

Benefits

  • Lucrative Employee Stock Purchase Program (15% discount)
  • 401k Match to help you save for your future (50% of your contribution up to the first 6% of your eligible pay)
  • Monthly stipend to support your work and productivity
  • Flexible Time Away Program, plus Incidental Sick Leave
  • Up to 24 weeks of Parental Leave
  • Personal paid Volunteer Day to support our community
  • Opportunities for professional growth and development including access to LinkedIn Learning online courses
  • Company Funded Perks, including a counseling membership, primary care membership, local retail discounts, and your own personal Smartsheet account
  • US employees receive 12 paid holidays per year
  • US employees are automatically covered under Smartsheet-sponsored life insurance, short-term, and long-term disability plans
  • Teleworking options from any registered location (role specific)
  • HSA, 100% employer-paid premiums, or Buy-up medical/vision and dental coverage options for full-time employees
  • Equity - Restricted Stock Units (RSUs) with all offers
  • Monthly contributions toward your pension
  • Mployer-paid Private Medical and Dental, additional cost for family members- Ability to research and learn new technologies, tools, and methodologies
  • Experience communicating analysis clearly to others
  • Bachelor’s degree and 8+ years of experience (or 10+ years of experience)
  • Proficient analytical skills for problem solving; can perform descriptive analysis, diagnostic analysis, predictive analysis and prescriptive analysis
  • Strong programming skills in Python or R
  • Experience using data to meaningfully impact product, strategy and execution
  • Proficient in SQL and skilled in visualization tools (ex. Tableau)
  • Extensive knowledge and practical experience in several of the following areas: product analytics techniques, machine learning, statistics, experimental design
  • 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

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