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SmartsheetSr. Data Scientist II - Product Analytics (Remote Eligible)
Smartsheet is hiring a Senior Data Scientist II for its Product Analytics work within its Business Intelligence group. The full-time position applies analytics and machine learning…
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About This Role
Smartsheet is hiring a Senior Data Scientist II for its Product Analytics work within its Business Intelligence group. The full-time position applies analytics and machine learning to guide product development, improve user experiences and move key metrics such as new-user acquisition, engagement, retention and expansion. Most of the collaboration is with Product teams. The position reports to the Senior Director of Data Science. It can be based in the Bellevue,…
Job Description
Smartsheet is hiring a Senior Data Scientist II for its Product Analytics work within its Business Intelligence group. The full-time position applies analytics and machine learning to guide product development, improve user experiences and move key metrics such as new-user acquisition, engagement, retention and expansion. Most of the collaboration is with Product teams.
The position reports to the Senior Director of Data Science. It can be based in the Bellevue, Washington office, and remote work is allowed from any US location where Smartsheet has employer registration. The company describes a large base of subscribing organizations and users, which it sees as room for analytics to help drive growth.
The ideal person is curious, is skilled in data science and in machine learning, and communicates insights clearly. The work covers the full analytics cycle, from understanding business goals and data through to automated reporting and visualizations. It also includes planning experiments and A/B tests, supporting feature launch decisions and encouraging a data-driven culture among Product, UX and Engineering teams.
Responsibilities
- Apply analytics and machine learning to inform product decisions, improve user experiences and track key performance outcomes.
- Work with Product, UX and Engineering to understand their goals and turn opportunities into insights with real impact.
- Define metrics that reveal how customers use products and features.
- Plan and read out experiments, causal analyses and A/B tests that quantify how product changes perform.
- Find where product performance falls short and identify improvement opportunities.
- Build automated reporting and visualizations, and present findings with data-based recommendations.
- Support ideation and feature launch decisions with analysis.
- Flag areas for further investigation and encourage a data-driven culture across Product, UX and Engineering.
Requirements
- A bachelor's degree plus 8 or more years of experience, or 10 or more years of experience instead
- Hands-on depth in multiple areas including product analytics, machine learning, statistics and experimental design
- Ability to run descriptive, diagnostic, predictive and prescriptive analysis
- Coding proficiency in Python or R
- Working fluency in SQL and visualization tools such as Tableau
- Track record of building effective cross-functional partnerships
- Background in applying data to shape product direction and delivery
- Clear communication of analysis to others
- Comfort researching new technologies, tools and methods, and working both independently and collaboratively in a fast-changing environment
Core Skills
Benefits
- Employer-subsidized health coverage, including medical, vision and dental
- Retirement match: half of contributions made, capped at the first 6% of eligible pay
- Monthly stipend to support work and productivity
- Flexible time-away program and sick time off
- Company-sponsored life insurance plus short- and long-term disability cover for US staff
- 12 paid holidays a year for US employees
- Parental leave of up to 24 weeks
- A paid volunteer day each year
- Professional growth support, including Udemy online course access
- Company-funded perks such as counseling, retail discounts and a Smartsheet account for personal use
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
What is the base salary range?
The US base salary range is $155,000 to $185,000 USD. The posting says actual pay depends on experience, education, skills and candidate location.
Where can the role be based?
It can be in the Bellevue, Washington office or fully remote from any US location where Smartsheet is registered as an employer.
Is there an incentive component?
The posting notes a market-competitive incentive is available for this role.
Who does the role report to?
It reports to the Senior Director of Data Science.
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