Associate Decision Scientist

Job Description

Would you like to be part of an industry-leading analytics organization? 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 business intelligence, data analysis, testing methodologies, and statistics, 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.

What you will be doing:

• Embrace and uphold Ibotta’s Core Values: Integrity, Boldness, Ownership, Teamwork, Transparency & Advocate for Savers
• Support projects to build causal inference models (A/B testing), automation of existing reports and deliverables, machine learning models, root cause analysis of upstream data issues, and market analysis case studies
• Work cross-functionally to analyze large amounts of behavioral and transaction data to provide clients with actionable insights about Ibotta’s users and campaign performance
• Communicate complex analyses and data intricacies in a clear, concise manner both internally as well as to external clients
• Collaborate with business stakeholders and clients to provide insightful reporting and dashboards

What we are looking for:

• Someone who is customer focused, collaborative, trustworthy, resourceful, and is invested in self development
• SQL knowledge, data wrangling, and analytical skills
• 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
• Bachelor’s degree in analytics/mathematics/statistics/data science/computer science/economics or equivalent experience

Preferred:

• Experience using modern data analysis tools (e.g., Python/R, Spark, Hive, Airflow, etc.)
• Experience with modern BI tools (e.g., Looker, Mode, Tableau)
• Experience with Git/GitHub
• Experience with data pipelines and ETL/ELT processes
  

About Us:

Built in Denver, CO, Ibotta ("I bought a...") is a free mobile shopping app that gives users cash back on groceries and more. Through our partnerships with brands and retailers like Procter & Gamble, Kraft Heinz, Kellogg, Amazon, Walmart, Target and Uber, we’ve delivered over $800 million in cumulative cash rewards to our Savers. Guided by our values and our mission to make every purchase rewarding, we come to work energized by the business problems we get to solve, the technology we get to build, and the people we get to innovate (and have fun) with. Ibotta made Inc.’s 2020 list of the 5000 fastest-growing private companies in the U.S. for the third consecutive year. In 2019, we became the first mobile consumer technology company in Colorado to achieve $1B in valuation.

To learn more about what our Tech teams are doing day to day, visit Building Ibotta on Medium.com

Additional Details:

• This position is located in Denver, CO and includes competitive pay, flexible time off, benefits package (including medical, dental, vision), Lifestyle Spending Account, 401k match, profit sharing and equity.
• Base compensation range: $60,000 - $80,000
• Ibotta provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, and genetics.
• Applicants must be currently authorized to work in the United States on a full-time basis.
• For the security of our employees and the business, all employees are responsible for the secure handling of data in accordance with our security policies, identifying and reporting phishing attempts, as well as reporting security incidents to the proper channels.