About Smartsheet
For over 20 years, Smartsheet has helped people and teams achieve–well, anything. From seamless work management to smart, scalable solutions, we’ve always worked with flow. We’re building tools that empower teams to automate the manual, uncover insights, and scale smarter. But more than that, we’re creating space– space to think big, take action, and unlock the kind of work that truly matters. Because when challenge meets purpose, and passion turns into progress, that’s magic at work, and it’s what we show up for everyday.
About the Role
Smartsheet is seeking a Senior Data Scientist to drive growth and customer retention through Applied AI and advanced analytics. With thousands of subscribing organizations and millions of users, you will have the opportunity to make a meaningful impact by leveraging data science to drive Sales, Customer Success, and Monetization strategies. You are curious, have strong data science and machine learning skills and the ability to communicate key insights effectively. You will work primarily with Go to Market Teams and will be a part of Smartsheet's Data Science & Business Intelligence team.
Responsibilities
- Partner with Sales and Customer Success teams, understand their goals, and execute on opportunities to draw relevant insights and drive tangible impact
- Develop and implement machine learning based Cross-sell/Upsell models and Product Recommender models to drive Sales & Monetization
- Build and deploy predictive models for Customer Churn and identify proactive churn risk prediction signals to drive retention
- Drive the full analytics lifecycle from understanding the business objective, analyzing the data to developing automated reporting and visualizations
- Collaborate with cross-functional teams to integrate data science solutions into business processes
- Effectively present analysis to both technical and non-technical audiences and give data-based recommendations to encourage data-driven decisions
- Drive a data culture within the Go To Market teams
Requirements
- Bachelor's degree and 8+ years of experience (or 10+ years of experience)
- Extensive knowledge and practical experience in several of the following areas: Applied AI, machine learning, statistics, propensity modeling, churn prediction and recommender systems
- Proficient analytical skills for problem solving; can perform descriptive analysis, diagnostic analysis, predictive analysis and prescriptive analysis.
- Strong programming skills in Python or R
- Proficient in SQL and skilled in visualization tools (ex. Tableau)
- Strong track record of forming effective cross-functional partnerships
- Experience using data to meaningfully impact Sales & Customer Success strategy execution
- Experience communicating analysis clearly to others
- Ability to research and learn new technologies, tools, and methodologies
- Ability to thrive in a dynamic environment, find opportunities and execute in both independent and collaborative environments
- As a senior member of the data science team help mentor and help grow members of the team