Sr. Data Scientist - Product Analytics
About The Position
Smartsheet is a tech company with a human story to tell. We’re here to empower teams to manage projects, automate workflows, and rapidly build new secure solutions, using simple no-code tools. We’re revolutionaries – so for us changing the way the world works is all in a day’s work. 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 data culture within the Product, UX and Engineering teams.
Requirements
- Bachelor’s degree or U.S. equivalent in Industrial Engineering, Analytics, Data Science, Mathematics, Statistics, Operations Research, or a related field, plus 3 years of professional experience as a Data Scientist, Database Administrators, or any occupation, job title, position working with product analytics techniques, machine learning, statistics, and experimental design.
- 3 years of professional experience utilizing analytical skills for problem solving; and performing descriptive analysis, diagnostic analysis, predictive analysis and prescriptive analysis.
- 3 years of professional experience utilizing programming languages including Python, R, and SQL and visualization tools including Tableau.
- 3 years of professional experience building Strong cross-functional partnerships with Product, UX, Engineering, and Business teams and communicating complex analytical findings (including machine learning insights, experiment results, user behavior metrics, and product performance analyses) in a clear, actionable manner to drive data-informed decision-making and foster a collaborative, data-driven culture.
- 3 years of professional experience leveraging data analytics, experimentation, causal inference, and machine learning techniques to meaningfully impact product strategy, roadmap decisions, and execution by designing metrics, conducting A/B tests, developing automated reporting, analyzing customer behavior, identifying improvement opportunities, and delivering insights that improve user acquisition, engagement, retention, and overall product performance.
- 3 years of professional experience researching, adopting, and applying new analytical tools, machine learning methodologies, experimentation frameworks, and data visualization technologies to improve the scalability, efficiency, and quality of analytics work, enabling more robust insights, deeper product understanding, and enhanced support for product ideation and feature optimization.
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.
- 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 data culture within the Product, UX and Engineering teams.
Benefits
- Employer subsidized medical/vision and dental coverage for full-time employees
- 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 Sick Time Off
- US employees are automatically covered under Smartsheet-sponsored life insurance, short-term, and long-term disability plans
- US employees receive 12 paid holidays per year
- Up to 24 weeks of Parental Leave
- Personal paid Volunteer Day to support our community
- Opportunities for professional growth and development including access to Udemy online courses
- Company Funded Perks, including a counseling membership, local retail discounts, and your own personal Smartsheet account
- Teleworking options from any registered location in the U.S. (role specific)
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What This Job Offers
Job Type
Full-time
Career Level
Senior
