Ibotta is seeking a Decision Scientist to join our Publisher Insights team and contribute to our mission to Make Every Purchase Rewarding. As a Decision Scientist, you will be responsible for providing actionable insights to drive either the Direct to Consumer Marketing team or the Strategic Partner Management team’s decision making and strategy. You will have the opportunity to work alongside talented individuals across multiple analytics and business disciplines. This position leverages the latest developments in statistics, modeling, and testing methodologies to understand the business and our customers on an in-depth level to support and challenge strategic options. You will build state-of-the-art analytical and BI tools for our diverse set of stakeholders.

This position is located in Denver, Colorado as a hybrid position requiring 3 days in office (Tuesday, Wednesday, and Thursday). Candidates must live in the United States.

Not based in Denver? We will offer a relocation bonus to help make your move to the Mile High City a smooth one.

Here is what you will be doing

Work directly with other Analytics team members as well as the Strategic Partner Development/ Business Development, Consumer Marketing, User Acquisition and our Communications marketing teams in analyzing customer behavior and trends to uncover key actionable insights about Ibotta users

Analyzing performance trends to uncover key, actionable insights to enable our business to grow

Collaborate with other teams from a wide variety of functions including Finance, Revenue/ Sales, Product Engineering, Machine Learning and other Analytics disciplines

Provide thought leadership and insight on performance metrics, attribution methodologies and consumer statistics such as LTV:CAC and churn

Run statistical analysis and create predictive models based on past user purchases and behavior

Design, execute, and analyze controlled experiments to determine the impact of new approaches and performance of our tactics

Produce concise and impactful presentations of data and insights to Marketing and company leadership, condensing complex topics and findings in a clear and concise fashion

Represent the Marketing department on company wide data related task forces. Be vocal and represent our stakeholders needs as well as communicate back key learnings, findings or procedures

Collaborate with business stakeholders to provide insightful reporting and dashboards along with automating workflows and self serve analytics solutions

Automate workflows and data pipelines for to enable quicker insights

Embrace and uphold Ibotta’s Core Values: Integrity, Boldness, Ownership, Teamwork, Transparency, & A great idea can come from anywhere

What we are looking for

3+ years of real world work experience in an analytical function. Experience with Marketing (Consumer or B2B), Retail/ CPG or a related industry preferred

Bachelor’s degree in Analytics, Statistics, Economics or a related field required

Understanding of general business concepts. Experience with consumer marketing tactics and concepts (examples include Customer Long Term Value and lifecycle, User Acquisition and Retention) OR in the Retail/ CPG Industries preferred

Technical experience and proficiency working with:

Data analysis tools and languages (e.g., Databricks, SQL, Python/R, Pyspark, Spark, Git/GitHub, Excel/ Google Suite)

BI & other visualization tools (e.g., Looker)

Creating customer facing slide presentations conveying complex data in compelling, simple formats

Marketing Specific or Web/App related analytical tools and such as Google Analytics, Mobile Measurement Platforms

Data pipelines and ETL/ELT processes including data exploration, wrangling and cleaning/ preparation for analysis

Working productively integrating AI into analytics workflows

Experience in building accurate and performant forecasting and data modeling including:

Time series modeling, forecasting and seasonality

Predictive models to drive strategic business decision making

Classification modeling and techniques of personalizing customer experiences