Associate Decision Scientist

Ibotta is seeking an Associate Decision Scientist to join our innovative team and contribute to our mission to Make Every Purchase Rewarding. With over 50 people, Ibotta's Analytics team is a place where individuals at all levels can learn and grow in their careers. We leverage the latest developments and best practices in data analysis, testing methodologies, statistics, and machine learning to drive value for Ibotta. As an Associate Decision Scientist, you will be responsible for providing actionable and data-driven recommendations to internal stakeholders. You’ll have the opportunity to work alongside talented individuals and understand the business in-depth, support and challenge strategic options, and build state-of-the-art tools to drive value throughout our business.

Responsibilities

Provide actionable and data-driven recommendations to internal stakeholders; Work cross-functionally to analyze large amounts of behavioral and transaction data; Work with Product & Engineering teams to make data driven decisions to improve design of products and enhance user experience; Collaborate with business stakeholders to provide insightful reporting and dashboards; Communicate analysis findings in a clear, concise manner; Brainstorm new ways to leverage data for the betterment of Ibotta’s product; Embrace and uphold Ibotta’s Core Values: Integrity, Boldness, Ownership, Teamwork, Transparency & A good idea can come from anywhere

Requirements

0-1+ years of experience in an analytical function; Bachelor’s degree in analytics/mathematics/statistics/data science/computer science/economics or equivalent experience; Proficient in SQL data wrangling and analytical skills; Experience with modern BI tools (e.g., Looker, Mode, Tableau); Experience using modern data analysis tools (e.g., Python, Spark, Hive, Airflow, etc.); Customer focused, collaborative, trustworthy, resourceful, and invested in self development; Ability to think creatively and provide thoughtful insights; Ability to develop, automate, visualize, analyze, and communicate learnings; Ability to work collaboratively throughout an organization to drive towards common goals; Candidates must live in the United States; Applicants must be currently authorized to work in the United States on a full-time basis

Benefits

Competitive pay; Flexible time off; Benefits package including medical, dental, vision; Employee Stock Purchase Program; 401k match; Paid parking; Snacks; Occasional meals; Relocation bonus for candidates not based in Denver; Equity included in overall compensation package