Senior Data Scientist - Growth

Unchain Data; United States; Remote; USD 180,000 - 212,000; Full time

Benefits offered by this job

Medical, dental, vision insurance

401(k)

Job summary

Coinbase is seeking a Growth Data Scientist to accelerate our global footprint by improving new user acquisition and conversion strategies. You will partner with Product, Engineering, and Design to define metrics, analyze behavior, design experiments, and quantify impact using causal inference models.

You will own data and metrics from core logs to visualizations, guide code reviews, and ensure rigorous experimentation and responsible use of AI tools in daily workflows.

Qualifications

• BA/BS in a quantitative field with ≥5+ years of relevant experience, or PhD with ≥3+ years.
• Experience driving impactful data science projects tackling ambiguous problems.
• Ability to translate data learnings into compelling stakeholder stories.
• Practical expertise in applying complex modeling frameworks to business problems.
• Professional experience using SQL and Python.
• Demonstrates our core cultural values and responsible use of generative AI tools.

Responsibilities

• Conduct analysis and deep dives on ambiguous problems to provide actionable insights.
• Own a broad scope of data and metrics from logging to visualizations.
• Guide code reviews and ensure robust ETL processes and data quality.
• Maintain rigorous experimentation and causal analyses to build stakeholder confidence.

Skills

SQL

Python

Data storytelling

Statistical modeling

Causal inference

Education

BA/BS in quantitative field

PhD in quantitative field

Tools

LibreChat

Gemini

Glean

Job description

About Us

At Coinbase, our mission is to increase economic freedom in the world. It's a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system.

To achieve our mission, we're seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company's hardest problems.

Our work culture is intense and isn't for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there's no better place to be.

While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported.

About the Role

Data Science is an integral component of Coinbase's product and decision making process: we work in partnership with Product, Engineering and Design to influence the roadmap and better understand our users. With a deep expertise in experimentation, analytics and advanced modeling, we produce insights which directly move the company's bottom line.

The Growth Data Science team bridges the gap between data and action to accelerate our global footprint. In this role, you will be the engine behind our new user acquisition and conversion strategies. You will partner closely with cross-functional stakeholders to define key metrics, analyze user behavior, design and evaluate experiments, and leverage causal inference models to quantify the holistic impact of top of funnel initiatives.

Responsibilities

• Conduct analysis and deep dives on ambiguous problems for our business. Your work will result in insights and recommendations that guide the team's decision making.
• Act as owner for a broad scope of data and metrics, from core logging to presentation of data visualizations.
• Guide code reviews, provide SQL and Python expertise, and create well-maintained ETL jobs.
• Maintain a high bar for statistical rigor on your team. Ensure that we're conducting experimentation and causal analyses that build confidence with your stakeholders.

Requirements

• A BA/BS in a quantitative field (ex Math, Stats, Physics, or Computer Science) with ≥5+ years of relevant experience or a PhD in a quantitative field with ≥3+ years of relevant experience
• Demonstrated experience in driving impactful data science projects that tackle ambiguous problem spaces.
• Ability to influence external stakeholders by synthesizing data learnings into compelling stories.
• Practical expertise in applying complex modeling frameworks to practical business problems.
• Professional experience using SQL and Python.
• Demonstration of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution.
• Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality.

Compensation

Annual base salary range (excluding equity and bonus): $180,370—$212,200 USD

Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, vision and 401(k)).