Senior Applied Scientist (MMM)

coinbaseRemotegreenhouse
Posted Date:

October 16, 2025

Employment Type:

Not specified

Work Arrangement:

Remote

Skills & Technologies

Data Sciencepreferred

Contact Information

Job Description

Ready to be pushed beyond what you think you’re capable of?

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.

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.

Specifically, we’re looking for a Senior Applied Scientist to join our Growth Marketing Team. In this role, you’ll take charge of building Coinbase’s Marketing Mix Model (MMM) from the ground up and play a key role in shaping how we measure and optimize marketing effectiveness. You’ll design and implement the model, analyze spend performance across channels (e.g. Facebook, TikTok, etc.), uncover insights to guide investment decisions, and present recommendations to senior leaders to drive smarter, data-backed marketing strategies.

What you’ll be doing:

    • Build and own Coinbase’s Marketing Mix Model (MMM) from the ground up to measure and optimize marketing spend effectiveness across channels (e.g. Facebook, TikTok, etc.)
    • Partner with Marketing, Finance, and Data Engineering to translate business goals into measurable frameworks and actionable insights
    • Develop and maintain robust statistical and econometric models that drive budget allocation and ROI optimization
    • Conduct deep dives into marketing performance data to uncover drivers of growth and inform strategic decisions
    • Contribute to experimentation and causal analysis efforts to validate model accuracy and inform future iterations

What we look for in you:

    • BA/BS in a quantitative field (e.g. Math, Statistics, Economics, Computer Science) with 5+ years of relevant experience, or PhD with 3+ years
    • Hands-on experience building and maintaining Marketing Mix Models (MMM) or Media Mix Models (MMM)
    • Expertise in regression, econometrics, causal inference, or Bayesian modeling
    • Proficiency in SQL and Python for data analysis, model development, and automation
    • Proven ability to translate complex technical concepts into clear business recommendations
    • Experience working with marketing data (media spend, conversions, attribution, campaign data)
    • Background in consumer tech or similarly fast-paced, data-rich environments
    • Demonstration of our core values: clear communication, positive energy, continuous learning, and efficient execution

Nice-to-have:

    • Advanced degree (PhD) in a quantitative field
    • Experience with marketing effectiveness or spend optimization modeling

Disclaimer: Applying for a specific role does not guarantee consideration for that exact position. Leveling and team matching are assessed throughout the interview process.

ID: G2462

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