Job Description

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.


Smartsheet is looking for a Data Scientist to 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:

Partner with Product, Marketing and Engineering teams, understand their goals, and execute on opportunities to draw relevant insights and drive tangible impact Develop and implement advanced predictive and prescriptive models using machine learning algorithms to drive marketing and product decisions 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 marketing and product 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, Marketing and Engineering teams

You Have:

Bachelor's degree and 5+ years of experience (or 7+ years of experience) Extensive knowledge and practical experience in several of the following areas: machine learning, statistics, NLP, deep learning, recommendation systems and experimental design 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 product, marketing strategy and 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

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.

Equal Opportunity Employer:

Smartsheet is an Equal Opportunity (EEO) employer committed to fostering an inclusive environment with the best employees. It is our policy to provide equal employment opportunities to all qualified applicants in accordance with applicable laws in the US, UK, Australia, Germany, Costa Rica, Japan, Bulgaria, and India. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.



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