Senior Data Scientist II - Product Analytics

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SmartsheetProduct analytics

You may work remotely from anywhere in the US where Smartsheet is a registered employerFull-TimeSenior

SalaryUS Base Salary Pay Range $155,000 — $185,000 USD. In addition, this role will be eligible for a market competitive incentive opportunity.

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Job Details

Experience: 8+ years of experience (or 10+ years of experience)
Required Skills: PythonSQLMachine LearningTableauProduct AnalyticsA/B testingR

Have a bachelor's degree and 8+ years of experience, or 10+ years of experience.
Bring practical experience in several areas such as product analytics techniques, machine learning, statistics, and experimental design.
Use descriptive, diagnostic, predictive, and prescriptive analysis to solve problems.
Have strong programming skills in Python or R.
Be proficient in SQL.
Be skilled in data visualization tools such as Tableau.
Have a track record of effective cross-functional partnerships.
Have experience using data to influence product, strategy, and execution.
Communicate analysis clearly to others.
Be able to research and learn new technologies, tools, and methodologies.

Use data analytics and machine learning to inform product development, optimize user experiences, and track acquisition, engagement, retention, and growth.
Partner with Product, UX, and Engineering teams to understand goals and identify opportunities for analysis.
Design metrics to analyze customer product use and guide product and feature optimization.
Conduct experiments, causal studies, and A/B tests to measure the impact of product changes.
Analyze product performance and identify opportunities for improvement.
Complete the analytics lifecycle, from understanding business objectives and data to developing automated reporting and visualizations.
Present analysis and data-based recommendations to support product ideation and feature launch decisions.
Identify areas for further investigation and scale analytics work.
Promote a data culture within Product, UX, and Engineering teams.

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