Seeking a Senior Data Scientist to establish a data-driven culture, develop dashboards, and define metrics for growth. Requires 7+ years of experience.
We are looking for our first Data Scientist. You are a highly motivated individual contributor. You will define a data-driven-culture across our consumer product and developer platform. You will define our north star metrics and establish source-of-truth dashboards that the entire team can use to answer their own growth, product and research questions. You should expect to be working cross functionally across product, growth and research.
You thrive in a hyper-growth tech company. You are creative in your thinking and tactical in how we execute. You love numbers and users.
Note: This job is not meant for recent graduates
Responsibilities
- Embed in the product, growth and research teams to uncover ways to drive growth
- Set up the data science infrastructure and dashboards in a way so all teams can answer most questions in a self-serve way
- Establish a data driven culture by identifying, communicating and socializing our north-star-metrics
- Define and answer tests for impact of growth tests, product changes and model changes on the end users
Background
- 7+ years of experience in a data science role. Ideally a founding data scientist or lead analyst at a hyper growth product or research company.
- While you are not a software engineer you are comfortable building and maintaining a modern data stack
- Push to define and implement metrics
- Push to design and analyze experiments with clear insights and recommendations
- You are a self-starter who gets the job done
- Have superb communication skills with the ability to communicate cross functionality
- You have outstanding interpersonal skills and can build great relationships
- You have a sense of humor
Compensation
- The pay range for this position in California is $200,000 - $250,000yr; however, base pay offered may vary depending on job-related knowledge, skills, candidate location, and experience. We also offer competitive equity packages in the form of stock options and a comprehensive benefits plan.
Top Skills
Dashboards
Data Science Infrastructure
Modern Data Stack
Similar Jobs
.png)
eCommerce • Fintech • Hardware • Payments • Software • Financial Services
The role involves analyzing large datasets with SQL and Python, designing experiments, visualizing data, and influencing product strategies to drive business growth.
Top Skills:
AirflowAmplitudeDatabricksGrowthbookLaunchdarklyLookerModePrefectPythonSnowflakeSQLTableau
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Analyze large datasets to provide actionable insights, design experiments, communicate findings, and lead cross-functional projects in a growth-focused data science role.
Top Skills:
AirflowAmplitudeDatabricksGrowthbookLaunchdarklyLookerModePrefectPythonSnowflakeSQLTableau
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
The Senior Data Scientist will support Block's AI, Data, and Analytics team, focusing on payment analytics, A/B testing, and strategic analysis to optimize financial services.
Top Skills:
LookerPythonSQL
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
