Staff Data Scientist, Client Data & Measurement

Ibotta is seeking a Staff Data Scientist, Client Data & Measurement to join our innovative team and contribute to our mission to Make Every Purchase Rewarding. Our newly formed and growing Core Data Science Team provides high-quality, on-time data science-related products and services across all business areas and teams within Ibotta. We do this by providing thought leadership, subject matter expertise, evangelism and governance of business-critical data science initiatives. As a Staff Data Scientist, you’ll have the unique, challenging, and rewarding opportunity to build the foundation of data and data science within the company.

Responsibilities

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

Requirements

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; 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 and/or R knowledge, skills, and abilities; Excellent statistical analysis skills; Superior analytical and problem solving skills; Expert-level knowledge, skills, and abilities in database manipulation, query languages, and graph data schemas; Experience manipulating complex data to apply business rules for improved feature engineering within data lakes, distributed systems, and data streams; Candidates must live in the United States; Applicants must be currently authorized to work in the United States on a full-time basis

Nice to have

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; Spark or PySpark experience; Solid understanding of experimental design and time series analysis; Experience in MLOps

Benefits

Competitive pay; Flexible time off; Benefits package (including medical, dental, vision); Employee Stock Purchase Program; 401k match; Paid parking; Bagel Wednesdays; Snacks and occasional meals; Relocation bonus