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Director of Data Science - Go to Market (GTM)



Data Science
San Francisco, CA, USA
Posted on Monday, April 17, 2023
About Rippling
Rippling is the first way for businesses to manage all of their HR & IT—payroll, benefits, computers, apps, and more—in one unified workforce platform.
By connecting every business system to one source of truth for employee data, businesses can automate all of the manual work they normally need to do to make employee changes. Take onboarding, for example. With Rippling, you can just click a button and set up a new employees’ payroll, health insurance, work computer, and third-party apps—like Slack, Zoom, and Office 365—all within 90 seconds.
Based in San Francisco, CA, Rippling has raised $1.2B from the world’s top investors—including Kleiner Perkins, Founders Fund, Sequoia, Bedrock, and Greenoaks —and was named one of America’s best startup employers by Forbes (#12 out of 500).
About the role
We are seeking a talented Director of Data Science GTM to lead our data science team and drive the development of our go-to-market strategies. As the Director of Data Science GTM, you will be responsible for developing and implementing comprehensive go-to-market strategies that leverage data insights to maximize revenue and market share.
What you will do
  • Work closely with leaders across Finance, Marketing, Sales and Operations to both deliver insights on performance as well as forecasting models that will inform investment decisions.

  • Develop and implement data-driven go-to-market strategies that align with our business objectives and drive revenue growth.

  • Lead a team of data scientists and provide guidance on data analysis, modeling, and visualization.

  • Collaborate with cross-functional teams to identify key drivers of growth and develop strategies to optimize them.

  • Build predictive models and conduct advanced analyses to uncover insights that drive business decisions.

  • Partner with product management and marketing teams to develop and execute marketing campaigns and product launches.

  • Develop and manage forecasting models to project revenue and identify areas of opportunity and risk.

  • Stay up-to-date with industry trends and best practices in data science and go-to-market strategy, and recommend new approaches to improve our processes and outcomes.

What you will need
  • Bachelor's or Master's degree in data science, computer science, statistics, or a related field.

  • Minimum of 10 years of experience in data science, with a focus on go-to-market strategy and forecasting.

  • Strong analytical skills and experience in statistical modeling and machine learning.

  • Proficient in programming languages such as Python, R, or SQL.

  • Experience with data visualization tools such as Mode or Tableau.

  • Excellent leadership and communication skills, with the ability to collaborate across teams, with leadership and communicate complex concepts to technical and non-technical stakeholders.

  • Proven track record of developing and executing successful go-to-market forecasting models & strategies that drive revenue growth

  • Experience managing a team of both junior and very senior data scientists and leading cross-functional projects.

Additional Information
Rippling highly values having employees working in-office to foster a collaborative work environment and company culture. For office-based employees (employees who live within a 40 mile radius of a Rippling office), Rippling considers working in the office, at least three days a week under current policy, to be an essential function of the employee's role.

This role will receive a competitive salary + benefits + equity. The salary for US-based employees will be aligned with one of the ranges below based on location; see which tier applies to your location here.

A variety of factors are considered when determining someone’s compensation–including a candidate’s professional background, experience, and location. Final offer amounts may vary from the amounts listed below.