Data Scientist, Strategic Partner Analytics

The role

You will build, retrain, and tune uplift models for weekly retention programs. You will own these models end to end, including data preparation, production deployment, and ongoing monitoring.

What you will do

• Build, retrain, and tune uplift models for weekly retention programs.
• Maintain feature pipelines, deploy new model versions, and monitor performance and drift.
• Manage weekly model operations and adjust model parameters to stay on budget.
• Design and analyze A/B tests and holdouts.
• Report model performance and business impact to Marketing stakeholders.
• Analyze large datasets on saver behavior to find insights.
• Work with analytics engineers, data engineers, and Marketing partners to prepare data.
• Contribute to team best practices including documentation and code review.

Required qualifications

• 2+ years of progressive experience in a professional data science, machine learning, statistics, or data analysis role, or related 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, such as gradient boosting and neural networks (TensorFlow/Keras or PyTorch).
• Working knowledge of experimentation and causal inference.
• Experience deploying or maintaining at least one model in production, using Git and an orchestration tool such as Airflow or Databricks Jobs.
• Experience building features from large, event-level datasets.
• Comfortable using AI coding assistants, and able to review, test, and debug the code they produce.
• A passion for driving important decisions using data and data storytelling.

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, or with models that balance competing goals such as volume and cost

Benefits

• Competitive pay
• Flexible time off
• Medical
• Dental
• Vision
• Employee Stock Purchase Program
• 401k match
• Paid parking
• Snacks
• Occasional meals
• Relocation bonus

Before you apply

• Candidates must live in the United States.
• Applicants must be currently authorized to work in the United States on a full-time basis.

About the company

Ibotta is a performance marketing platform allowing brands to deliver digital promotions to over 200 million consumers. The company is headquartered in Denver.