Sr. Data Scientist

At Acorns, our mission is to look after the financial best interests of the up-and-coming, beginning with the empowering, proud step of micro-investing. How do we accomplish our mission? Our values.

Lead With Heart - With compassion, integrity, and tenacity, inspire yourself and others to move past all previous thresholds of possibility

Make Bold Decisions - We are creating a new world. Be optimistic, adventurous, and courageous. Leap fearlessly into the future

Always Build Trust - Say what you mean, mean what you say, and do what you say you’re going to do. We are all owners. We are one team

Never Stop Growing - Change IS the constant. Stay hungry and curious. Be relentless in the pursuit of progress

Find a way - Never settle, no excuses, nothing is impossible. Just make it happen

Our values guide us, and our mission drives us. Come join us and help deliver financial wellness for the whole family, putting the tools of wealth-making into everyone’s hands.

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Senior Data Scientist ( Media Mix Modeling Focused ) | Acorns

Acorns is looking for a strategic and detail-oriented Senior Data Scientist with deep expertise in marketing science to help shape the way we acquire and retain customers. At Acorns, we believe solving problems with data is both an art and a science. Our Data Scientists are not only technical experts - they are also skilled collaborators and communicators. You’ll join a high-impact team focused on solving meaningful problems that directly influence both our customers’ experiences and our business outcomes.

In this role, you’ll lead the development and maintenance of Marketing Mix Models (MMM), design and analyze incrementality tests, and optimize cross-channel advertising spend to maximize ROI and drive sustainable growth. Your work will play a critical role in ensuring that every marketing dollar is invested efficiently to attract and retain our most loyal customers.

You bring a strong command of the algorithms and data techniques required to model and optimize marketing investments across various channels. Your insights will guide strategic decisions and help the business achieve its growth and return-on-investment goals.

Acorns is a remote-first organization, offering the flexibility to work remotely while providing optional access to office space in Irvine, CA.

What you will do at Acorns:

• Develop a deep understanding of Acorns’ products, data infrastructure, and how data supports our product and marketing strategies.

• Ramp up on existing data science tools, processes, and methodologies, including Media Mix Modeling, geoholdout experiments, and incrementality testing.

• Own and enhance our existing MMM solutions, ultimately leading the end-to-end lifecycle from model development through implementation.

• Lead the design and execution of data science projects, including the creation of technical design documents and model packages ready for deployment.

• Conduct rigorous data investigations to uncover insights, identify causal relationships, and inform future experimentation.

• Evaluate and recommend appropriate modeling techniques to solve business problems effectively and efficiently.

• Perform code reviews and support best practices across data science projects, driving continuous improvement and code quality.

• Mentor junior team members by providing guidance, feedback, and opportunities for learning through project collaboration.

• Stay current with advancements in data science by bringing new research, tools, and ideas to the team, and actively contribute to technical discussions.

What you will bring to Acorns:

• Bachelor’s, Master’s, or Ph.D. in Computer Science, Data Science, Engineering, Mathematics, Statistics, Physics, Operations Research, or a related field.

• 5+ years of experience in marketing science, econometrics, or related analytical roles.

• Hands-on experience developing and implementing Marketing Mix Models and designing incrementality and causal inference tests.

• Strong foundation in causal inference, econometrics, and experimental design.

• Proficiency with Bayesian modeling, time series analysis, and machine learning techniques.

• Familiarity with marketing analytics platforms (e.g., Google Analytics, Facebook Analytics) and advertising ecosystems, including programmatic buying.

• Proficiency in at least one programming language such as Python, R, J