Sr. Data Scientist I - Marketing (Remote Eligible)

$118,800 - $172,800/Yr

Smartsheet - Bellevue, WA

Full-time - Mid Level

Hybrid - Bellevue, WA

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

About the position

Smartsheet is seeking an experienced Senior Data Scientist to join our Business Intelligence team, primarily working with the Marketing Organization. In this role, you will guide analyses, create predictive and prescriptive insights, and influence key business decisions. As a Senior Data Scientist, you will have the opportunity to make a significant impact on our analytics efforts, helping to drive growth and improve marketing strategies through data-driven insights. You will be responsible for developing and implementing machine learning models, conducting experiments, and presenting your findings to various teams within the organization. Your work will involve the full analytics lifecycle, from understanding business objectives to developing automated reporting and visualizations. This position is full-time and can be based in our corporate offices in Bellevue, WA, or remotely. You will report to the Sr. Director of Data Science & BI and will be part of a team that values ownership, transparency, and collaboration.

Responsibilities

• Partner with Marketing teams to understand their goals and execute on opportunities to draw relevant insights and drive tangible impact.
• Develop and implement predictive and prescriptive models using machine learning algorithms to drive marketing decisions.
• Conduct experiments, causal studies, and A/B tests to measure the impact of marketing initiatives.
• Complete the full analytics lifecycle from understanding the business objective to developing automated reporting and visualizations.
• Effectively present analysis to teams and provide data-based recommendations to encourage data-driven decisions.
• Think strategically on how to scale your work.

Requirements

• Bachelor's degree and 5+ years of experience (or 7+ years of experience).
• Extensive knowledge and practical experience in machine learning, statistics, recommendation systems, and experimental design.
• Strong hands-on experience in building models and deploying solutions for Lead Scoring, Multi-touch attribution (MTA), and Marketing Media Mix (MMM).
• Proficient analytical skills for problem solving, capable of performing descriptive, diagnostic, predictive, and prescriptive analysis.
• Strong programming skills in Python or R.
• Proficient in SQL and skilled in visualization tools such as Tableau.
• Strong track record of forming effective cross-functional partnerships.
• Experience using data to meaningfully impact product, marketing strategy, and execution.
• Ability to communicate 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 settings.

Nice-to-haves

• Experience with cloud-based data platforms.
• Familiarity with big data technologies such as Hadoop or Spark.
• Knowledge of marketing analytics tools and platforms.

Benefits

• HSA with 100% employer-paid premiums or buy-up medical/vision and dental coverage options for full-time employees.
• Equity - Restricted Stock Units (RSUs) for eligible roles.
• Lucrative Employee Stock Purchase Program (15% discount).
• 401k Match (50% of your contribution up to the first 6% of your eligible pay).
• Monthly stipend to support work and productivity.
• Flexible Time Away Program, plus Incidental Sick Leave.
• Life insurance, short-term, and long-term disability plans for US employees.
• 12 paid holidays per year.
• Up to 24 weeks of Parental Leave.
• Personal paid Volunteer Day to support community involvement.
• Opportunities for professional growth and development, including access to Udemy online courses.
• Company Funded Perks, including a counseling membership and local retail discounts.
• Teleworking options from any registered location in the U.S. (role specific).
• Competitive base salary range based on geographic area and experience.