Principal Data Scientist, Causal Inference

Ibotta is seeking a Principal Data Scientist - Causal Inference to serve as a strategic technical leader and the highest level of individual contributor within our data science organization. Youll drive business-critical initiatives while establishing technical standards that elevate our entire organizations capabilities and carrying additional emphasis on deep technical expertise and problem-solving.

A core focus will be enhancing and partnering to evolve Ibottas productized measurement solutions that demonstrate how we drive incremental sales for brand partners at scale. Youll 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 youre not in the Denver metro area or the listed states relocation reimbursement to Denver is available.

What You Will Be Doing:

• Help lead the continued evolution of Ibottas measurement methodology through exploration of cutting-edge measurement research and experimental design

• Collaborate as the go-to troubleshooter for measurement anomaliesexploring 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 Ibottas Core Values: Integrity Boldness Ownership Teamwork Transparency & A good idea can come from anywhere

What We Are Looking For:

• 10 years of professional experience in data science machine learning or advanced analytics with demonstrated transformational impact

• Bachelors degree in Computer Science Statistics Mathematics Engineering Data Science or related quantitative field required; Masters 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

About Ibotta (I bought a...)

Ibotta (NYSE: IBTA) is a leading performance marketing platform allowing brands to deliver digital promotions to over 200 million consumers through a network of publishers called the Ibotta Performance Network (IPN). The IPN allows marketers to influence what people buy and where and how often they shop all while paying only when their campaigns directly result in a sale. American shoppers have earned over $2.6 billion through the IPN since 2012. The largest tech IPO in history to come out of Colorado Ibotta is headquartered in Denver and is continually listed as a top place to work by The Denver Post and Inc. Magazine.

To learn more about what our Tech teams are doing day to day visit Building Ibotta on .

Additional Details:

• 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: $180000 - $200000. 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. Ibottas 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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