Smartsheet - Sr. Data Scientist ll
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 • Get to Know Us: • Get to Know Us: • At Smartsheet, your ideas are heard, your potential is supported, and your contributions have real impact. You’ll have the freedom to explore, push boundaries, and grow beyond your role. We welcome diverse perspectives and nontraditional paths—because we know that impact comes from individuals who care deeply and challenge thoughtfully. When you’re doing work that stretches you, excites you, and connects you to something bigger, that’s magic at work. Let’s build what’s next, together.
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
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