$110,000 – $130,000
Listed on Ibotta’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This role owns end-to-end uplift modeling for Ibotta's customer retention programs, from stakeholder collaboration through production deployment and monitoring. It's ideal for someone with 2+ years of data science experience who wants to balance technical depth in machine learning with cross-functional impact on marketing strategy.
Our summary, not Ibotta’s wording. The full posting is on their site.
Skills this role names
- A/B Testing
- Apache Airflow
- Databricks
- Git
- Keras
- Neural Networks
- Pandas
- PySpark
- Python
- PyTorch
- scikit-learn
- SPARK
- SQL
- TensorFlow
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What they ask for
Required
- 2+ years of professional data science, machine learning, statistics, or data analysis experience
- Bachelor's degree in Computer Science, Mathematics, Statistics, Data Science, Economics, or similar field
- Deep Python (pandas, scikit-learn) and SQL skills
- Hands-on experience building and evaluating machine learning and statistical models
- Working knowledge of experimentation and causal inference
- Experience deploying or maintaining at least one model in production using Git and orchestration tools
- Experience building features from large event-level datasets
- Ability to review, test, and debug code from AI coding assistants
- Passion for data storytelling and explaining results to non-technical stakeholders
Nice to have
- Advanced degree
- Spark or PySpark experience
- Exposure to uplift or heterogeneous treatment effect modeling
- Experience with model monitoring and drift detection
- Experience with marketing incentives, promotions, loyalty, or retention programs
- Experience with models that balance competing goals like volume and cost