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.
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 Marketing and Engineering and will be a part of Smartsheet’s Business Intelligence team.
You will report to our Sr. Director of Data Science, and can be based in our Bellevue, WA HQ, or you may work remotely from anywhere in the US where Smartsheet is a registered employer.
You Will:
- 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
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