Principal Data Scientist
Role details
Job location
Tech stack
Job description
The Principal Data Scientist will lead marketing analytics initiatives, enhancing measurement methodologies, mentoring junior scientists, and collaborating across teams to drive business impact. The summary above was generated by AI
Ibotta is seeking a Principal Data Scientist, Marketing Analytics to serve as a strategic technical leader and the highest level of individual contributor within our data science organization. You'll drive business-critical initiatives while establishing technical standards that elevate our entire organization's capabilities, operating at a seniority level comparable to Director, and carrying additional emphasis on deep technical expertise and problem-solving.
A core focus will be enhancing and partnering to evolve Ibotta's productized measurement solutions that demonstrate how we drive incremental sales for brand partners at scale. You'll collaborate across teams to understand edge cases, design and validate innovation and experiments, and ensure our measurement products maintain the rigor required of industry leading organizations.
This position is available in multiple locations:
Denver, Colorado - if you are in or willing to relocate to the Denver area, this is a hybrid position requiring 3 days in office (Tuesday, Wednesday, and Thursday).
Remote options are available for the following states - AZ, AR, CA, FL, GA, IL, IN, IA, KS, MD, MA, MI, MN, MO, MT, NV, NJ, NY, NC, OH, OK, PA, TN, TX, UT, VA, WA, WI. If you're not in the Denver metro area or the listed states, relocation reimbursement to Denver is available.
Not based in Denver? We will offer a relocation bonus to help make your move to the Mile High City a smooth one.
What You Will Be Doing:
- Help lead the continued evolution of Ibotta's measurement methodology through exploration of cutting-edge measurement research and experimental design.
- Collaborate as the go-to troubleshooter for measurement anomalies-exploring outlier results, diagnosing data quality issues, and validating statistical assumptions across alpha, beta, and production measurement systems
- Lead code reviews and architecture discussions, providing expert guidance on design patterns, scalability, and technical trade-offs. Foster a culture of code quality, rigorous measurement, and collaborative problem-solving
- Evaluate and adopt new tools, explore frameworks and innovative model forms that enhance team effectiveness, while maintaining code quality standards
- Lead enterprise-wide data science initiatives spanning 6+ months with measurable business impact across multiple teams and KRs.
- Build trusted partnerships with C-suite executives, product managers, and data science leaders to translate business problems into technical solutions while delivering with consistency and transparency.
- Present complex technical concepts clearly to both technical and non-technical audiences, including executive leadership. Deliver high impact presentations on key initiatives and research, with easily understood visualizations, to drive insight and adoption.
- Mentor more junior data scientists through technical guidance, code reviews, and strategic coaching
- Create technical training programs and documentation that elevate organizational data science maturity
Embrace and uphold Ibotta's Core Values: Integrity, Boldness, Ownership, Teamwork, Transparency, & A good idea can come from anywhere
Requirements
- 10+ years of professional experience in data science, machine learning, or advanced analytics with demonstrated transformational impact
- Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, Data Science, or related quantitative field required; Master's or Ph.D. strongly preferred
- Experience in performance marketing, retail media, e-commerce, or CPG analytics environments strongly preferred
- Expert-level SQL and Python with demonstrated ability to write clean, maintainable, well-tested production-grade code. Experience with distributed computing (Spark, PySpark) and cloud platforms (AWS, GCP, Azure) is a requirement.
- Strong software engineering practices: version control (Git), CI/CD, unit testing, code review, design patterns
- Advanced ML frameworks and techniques (time series, ensemble methods) and MLOps practices (model deployment, monitoring, feature engineering) strongly preferred.
- Deep expertise in experimental methods like RCTs and AB testing at scale, along with quasi-experimental designs: difference-in-differences, propensity score matching, regression discontinuity, and similar modalities.
- Deep understanding of performance marketing metrics (ROAS, incrementality, new-to-brand acquisition) , and ability to quantify and communicate business impact.
Benefits & conditions
- This position includes competitive pay, flexible time off, benefits package (including medical, dental, vision), Employee Stock Purchase Program, and 401k match. Denver office perks include paid parking, snacks, and occasional meals.
- Base compensation range: $180,000 - $238,000. Total compensation for this role also includes a variable component in addition to base salary. Equity is included in overall compensation package. This compensation range is specific to the United States labor market and may be adjusted based on actual experience.
- Ibotta is an Equal Opportunity Employer. Ibotta's employment decisions are made without regard of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected status.
- Applicants must be currently authorized to work in the United States on a full-time basis.
- Applicants are accepted until the position is filled.
- For the security of our employees and the business, all employees are responsible for the secure handling of data in accordance with our security policies, identifying and reporting phishing attempts, as well as reporting security incidents to the proper channels.
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