Data Scientist, GTM

2 Months ago • All levels • Data Analysis • $140,000 PA - $170,000 PA

Job Summary

Job Description

As a Data Scientist for Go-to-Market at Notion, you will partner with the Sales and Revenue Operations team. Your responsibilities include transforming complex data into insights for senior leadership, building and maintaining KPI dashboards, and developing models to optimize sales strategies and forecasting. You will collaborate with Data Engineering and Business Systems teams and drive measurable business change with data. This role requires effective communication, collaboration skills, and the ability to build high-fidelity customer data pipelines. Each day will bring new challenges and opportunities to drive meaningful change with data.
Must have:
  • Experience as a data scientist with business functions like Revenue Operations.
  • Comfortable with ambiguity and driven by business outcomes.
  • Expertise in SQL and at least one scripting language (Python or R).
  • Ability to transform raw data to build your own datasets.
  • Strong communication skills and ability to drive business impact.
  • Experience making tradeoffs between speed and accuracy.
Good to have:
  • Experience working directly with Sales, Customer Success, Revenue Operations, and/or Finance teams.
  • Background at a high-growth B2B SaaS startup.
  • Familiarity with the Notion product.

Job Details

About Us:

We're on a mission to make it possible for every person, team, and company to be able to tailor their software to solve any problem and take on any challenge. Computers may be our most powerful tools, but most of us can't build or modify the software we use on them every day. At Notion, we want to change this with focus, design, and craft.

We've been working on this together since 2016, and have customers like OpenAI, Toyota, Figma, Ramp, and thousands more on this journey with us. Today, we're growing fast and excited for new teammates to join us who are the best at what they do. We're passionate about building a company as diverse and creative as the millions of people Notion reaches worldwide.

Notion is an in person company, and currently requires its employees to come to the office for two Anchor Days (Mondays & Thursdays) and requests that employees spend the majority of their week in the office (including a third day).

About The Role:

As our Data Scientist for Go-to-Market, you will be a key business partner to our Sales and Revenue Operations team. Your work will be instrumental in shaping our data strategy as we design and implement a best-in-class Go-to-Market motion. From exploring what successful customer accounts look like to creating sales pipeline forecasts, your insights will directly impact business decisions and strategy. Each day will bring new challenges and opportunities to drive meaningful change with data.

What You'll Achieve:

  • You will partner with Revenue Operations and Sales leads, driving forward all data science and analytics work in their functional areas
  • You will transform complex data into compelling insights, synthesizing them into crisp narratives for senior leadership that drive measurable business change (Insights are useful. Impact is even better!)
  • You will build and maintain KPI dashboards that teams rely on for critical decision-making, along with self-service tools that empower business partners
  • You will develop models that become core to our operations, such as optimizing sales outreach strategies or building a sales forecasting model
  • You will collaborate closely with our Data Engineering and Business Systems teams to build high-fidelity, canonical customer data pipelines that serve as the foundation for GTM analytics

Skills You'll Need to Bring:

  • You've spent meaningful time as data scientist partnering with business functions such as Revenue Operations, Finance, Growth, Marketing
  • You are comfortable with ambiguity and motivated by business results
  • You have expertise in SQL, and least one scripting language (Python or R)
  • You are comfortable transforming raw data to build your own data sets if they don't exist yet
  • You can effectively communicate data insights and transform them into stories that drive business impact
  • You have strong communication and collaboration skills while working in cross-functional environments
  • You have a bias for using the right tools to get a job done with maximum efficiency. You have experience making tradeoffs between speed and accuracy

Nice to Haves:

  • Experience working directly with Sales, Customer Success, Revenue Operations, and/or Finance teams
  • Background at a high-growth B2B SaaS startup
  • Familiarity with our product (being a current Notion user would be great!)

We hire talented and passionate people from a variety of backgrounds because we want our global employee base to represent the wide diversity of our customers. If you’re excited about a role but your past experience doesn’t align perfectly with every bullet point listed in the job description, we still encourage you to apply. If you’re a builder at heart, share our company values, and enthusiastic about making software toolmaking ubiquitous, we want to hear from you.

Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco, the estimated base salary range for this role is $140,000 - $170,000 per year.

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