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Ibotta · 5 days ago

Staff Data Scientist, Core Data & Analytics

Denver, CO

Full-time

Hybrid

Senior Level, Lead/Staff

$152K/yr - $175K/yr

7+ years exp

Ibotta is seeking a Staff Data Scientist, Core Data & Analytics to join their innovative team and contribute to their mission to Make Every Purchase Rewarding. This role will focus on building data assets and analytics solutions for the revenue organization, utilizing the latest developments in statistics and machine learning to drive business value.

AppsCouponsE-CommerceMobileMobile AppsRetailService IndustryShopping

No H1B

Responsibilities

Provide subject matter expertise and ownership of one or more foundational models involving measurement, forecasting, or optimization of our content

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 as required

Become an expert of the Ibotta Data Ecosystem and how various teams leverage Ibotta’s suite of data to answer domain specific business questions through advanced analytic techniques

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

Qualification

Machine LearningStatistical AnalysisPythonData StorytellingExperimental DesignData Ecosystem ExpertiseCollaborationMentoringContinuous Learning

Required

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

Expert-level knowledge, skills, and abilities in creating, developing, and applying a variety of new or existing machine learning and statistical algorithms

Expert-level Python knowledge, skills, and abilities

Excellent statistical analysis skills, with a solid understanding of experimental design

Preferred

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

Spark/PySpark and MLOps experience is a strong plus