Staff Data Scientist, Client Data & Measurement

Provide subject matter expertise and ownership of one or more of the company’s core business domains

Establish and lead best practices, setting the example for the team

Initiate and drive collaboration with stakeholders, architects, and data engineers to discover, define, cleanse, and refine the data needed for analysis and modeling

Analyze large and novel datasets to extract actionable insights to inform model development and understand consumer behavior

Provide customized views of large and complex datasets to support data analysis and business decision-making

Inform experimental design to formulate solutions addressing major business challenges and innovation opportunities

Build models using a variety of statistical and machine learning techniques, from selecting the best type of model for the problem to using advanced techniques to measure and optimize model performance

Harden data pipelines and models for production deployment and monitoring of performance over time

Provide mentoring and education to this team and other teams across the company

Embrace and uphold Ibotta’s Core Values of Integrity, Boldness, Ownership, Teamwork, Transparency, & A good idea can come from anywhere

7+ years of experience making significant positive impacts in a professional data science or machine learning role

Bachelor’s degree in Computer Science, Engineering, Analytics or a related field required

A history of and passion for driving important decisions using data and data storytelling

A love of learning and continuous development, including staying at the forefront of the latest advances in data science and machine learning. Broad-scale community contributions to the fields of data science and machine learning in the way of conference presentations, professional publications, and/or recognized internet presence are a strong plus