Ibotta is seeking an Associate Decision Scientist to join our innovative team and contribute to our mission to Make Every Purchase Rewarding. Are you looking to play an integral role in building something bigger? This role on our Marketing Analytics team at Ibotta will provide just that. You will help the Marketing team make data-driven decisions to drive customers to Ibotta and retain them through innovative, personalized incentives and communication strategies. You will also be on the forefront of development of B2B attribution and performance measurement tools and methodologies
As an Associate Decision Scientist, you will be responsible for using the latest developments in statistics, customer segmentation, and A/B testing methodologies to understand the business in-depth, support strategic options, build state-of-the-art tools, and improve our future marketing interactions with customers.
This position is located in Denver, Colorado or with the option of full-time remote. Candidates must live in the United States.
What you will be doing:
Working cross-functionally with the Marketing team to analyze personalization and incentives, in order to uncover key, actionable insights about Ibotta users behavior and iteratively improve marketing performance
Running statistical analysis and create models based on user characteristics and behavior
Designing and measuring controlled experiments to determine the potential impact of new approaches
Understanding and reporting business performance in detail and identifying opportunities for improving the targeted and personalized approach to marketing to Ibotta’s user base.
Embrace and uphold Ibotta’s Core Values: Integrity, Boldness, Ownership, Teamwork, Transparency & Advocate for Savers
What we are looking for:
1+ year of relevant work experience
Bachelor’s degree in analytics/mathematics/statistics/data science/computer science/economics, engineering or equivalent experience is required
An understanding of the key concepts of consumer behavior and/or B2B client
Strong SQL knowledge, data wrangling, and analytical skills
Experience using Python for data analysis (particularly pandas, numpy, and sklearn)
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
What we are looking for (preferred):
Experience using other modern data analysis tools and packages (Spark, tensorflow)
Superior knowledge of advanced statistical methods, machine learning, A/B experiment design, forecasting, and causal inference
Practical work experience in marketing analytics in a consumer-facing or B2B industry
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 $1B 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 see what our Tech teams are doing day to day, visit Building Ibotta on Medium.com.
Additional Details:
This position is located in Denver, CO or with the option of full-time remote and includes competitive pay, flexible time off, benefits package (including medical, dental, vision), Lifestyle Spending Account, 401k match, profit sharing and equity. Candidates must live in the United States.
Base compensation range: $$60,000 to $80,000.
Ibotta is an Equal Opportunity Employer. Ibotta’s employment decisions are made without regard with race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected status.
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.
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