Data Scientist, Client Data & Measurement

Ibotta

Data Scientist leveraging latest developments in data science to drive business insights at Ibotta. Collaborating with multiple teams to build models and methodologies for organizational use.

Posted 5/9/2026full-timeDenver • Arizona, California, Colorado, Florida, Illinois, Iowa, Kansas, Maryland, Massachusetts, Minnesota, Missouri, Montana, Nevada, New Jersey, New York, North Carolina, Ohio, Oklahoma, Pennsylvania, Tennessee, Texas, Utah, Virginia, Washington, Wisconsin • 🇺🇸 United StatesJuniorMid-Level💰 $110,000 - $130,000 per yearWebsite

Tech Stack

Tools & technologies

Distributed SystemsPySparkPythonSpark

About the role

Key responsibilities & impact

Contribute to creating best practices 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
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 techniques to measure and optimize model performance
Prepare models for production deployment and monitoring of performance over time
Embrace and uphold Ibotta’s Core Values of Integrity, Boldness, Ownership, Teamwork, Transparency, & A good idea can come from anywhere

Requirements

What you’ll need

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 required; Advanced degree preferred
A passion for driving important decisions using data science 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
Demonstrated knowledge, skills, and abilities in developing and applying a variety of machine learning and statistical algorithms
Demonstrated Python skills. Spark or PySpark experience is a strong plus
Broad and general statistical and mathematical knowledge and skills
Excellent analytical and problem solving skills
Demonstrated knowledge, skills, and abilities in database manipulation, query languages, modeling techniques, and programming according to best practices graph data schemas
Exposure to or interest in manipulating complex data distributed systems, and data streams
Exposure to or interest in MLOps a strong plus

Benefits

Comp & perks

competitive pay
flexible time off
benefits package (including medical, dental, vision)
Employee Stock Purchase Program
401k match
Denver office perks include paid parking, snacks and occasional meals

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data analysismachine learningstatisticsmodel developmentstatistical algorithmsdatabase manipulationquery languagesprogramming best practicesdata modeling techniquesMLOps

Soft Skills

collaborationanalytical skillsproblem solvingdata storytellingcontinuous learninginnovationcommunicationteamworkintegrityownership