Notion Logo

Notion

Data Scientist, GTM

Posted 12 Days Ago
Hybrid
San Francisco, CA
140K-170K
Mid level
Hybrid
San Francisco, CA
140K-170K
Mid level
The Data Scientist will analyze data for Sales and Revenue Operations, developing models and dashboards to drive strategy and business impact.
The summary above was generated by AI
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.

#LI-Onsite

By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy.


Top Skills

Python
R
SQL
HQ

Notion San Francisco, California, USA Office

2300 Harrison Street, San Francisco, CA, United States, 94110

Similar Jobs at Notion

13 Days Ago
Hybrid
San Francisco, CA, USA
136K-160K
Junior
136K-160K
Junior
Artificial Intelligence • Productivity • Software
In this role, the Finance Data Scientist will collaborate with Strategic Finance to analyze business drivers, deliver insights on financial trends, and develop data science forecasts. The position requires translating initiatives into revenue outcomes and empowering the team with self-service tools and reports to enhance understanding of key metrics.
12 Days Ago
Hybrid
San Francisco, CA, USA
176K-246K
Mid level
176K-246K
Mid level
Artificial Intelligence • Productivity • Software
The Data Engineer will build foundational datasets and pipelines, implement ETL processes, and collaborate with data scientists to meet data needs.
Top Skills: AirflowAWSAzureDbtGCPHiveJavaNoSQLOrcParquetPythonRedshiftScalaSnowflakeSparkSQL
12 Days Ago
Hybrid
San Francisco, CA, USA
47-64
Entry level
47-64
Entry level
Artificial Intelligence • Productivity • Software
The AI Data Specialist will annotate and label data to enhance machine learning models' accuracy, ensuring high precision and consistency in data management.
Top Skills: Data AnnotationMachine Learning

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account