[Hiring] Sr. Data Scientist - Product Analytics @Smartsheet Job Ads

Role Description

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 to understand their goals and execute on opportunities to draw relevant insights and drive tangible impact.
• Understand customer needs and design metrics to analyze product usage 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 identify improvement opportunities.
• Complete the full analytics lifecycle from understanding the business objective to developing automated reporting and visualizations.
• Effectively present analysis to teams and provide data-based recommendations to encourage data-driven decisions, assisting in product ideation and feature launch decisions.
• Think strategically on how to scale your work and identify areas for further investigation.
• Drive data culture within the Product, UX, and Engineering teams.

This position is 100% remote; must reside in U.S.; and reports to HQ in Bellevue, WA. Salary: $140,000 - $200,000 per year.

Qualifications

• Bachelor’s degree or U.S. equivalent in Industrial Engineering, Analytics, Data Science, Mathematics, Statistics, Operations Research, or a related field.
• 3 years of professional experience as a Data Scientist, Database Administrator, or in a related occupation working with product analytics techniques, machine learning, statistics, and experimental design.

Requirements

• 3 years of professional experience utilizing analytical skills for problem solving and performing descriptive, diagnostic, predictive, 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.
• 3 years of professional experience communicating complex analytical findings in a clear, actionable manner.
• 3 years of professional experience leveraging data analytics, experimentation, causal inference, and machine learning techniques to impact product strategy and execution.
• 3 years of professional experience researching, adopting, and applying new analytical tools and methodologies.

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.
• 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 a personal Smartsheet account.
• Teleworking options from any registered location in the U.S. (role specific).
• Competitive base salary range for roles that may be hired in different geographic areas.