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Salary: USD 89,000 - 101,000 / annual
Ibotta, a leading performance marketing platform (NYSE: IBTA), is seeking a Decision Scientist to join the Publisher Insights team. You will provide actionable insights to drive decision-making and strategy for either the Direct to Consumer Marketing team or the Strategic Partner Management team. Working alongside talented analytics and business professionals, you'll leverage advanced statistics, modeling, and testing methodologies to understand the business and customers deeply, supporting and challenging strategic options.
Key Responsibilities:
- Collaborate with Analytics, Strategic Partner Development, Business Development, Consumer Marketing, User Acquisition, and Communications teams to analyze customer behavior and trends, uncovering actionable insights about Ibotta users
- Analyze performance trends to identify key insights enabling business growth
- Partner with Finance, Revenue/Sales, Product Engineering, Machine Learning, and other Analytics disciplines
- Provide thought leadership on performance metrics, attribution methodologies, and consumer statistics (LTV:CAC, churn)
- Run statistical analyses and build predictive models based on user purchase and behavior data
- Design, execute, and analyze controlled experiments to measure impact of new approaches and tactics
- Create concise, impactful presentations of data and insights for Marketing and company leadership
- Represent the Marketing department on company-wide data task forces, communicating stakeholder needs and key learnings
- Build insightful reporting and dashboards; automate workflows and self-serve analytics solutions
- Automate data pipelines to enable faster insights
- Embrace Ibotta's Core Values: Integrity, Boldness, Ownership, Teamwork, Transparency, and openness to ideas from anywhere
The role is hybrid in Denver, requiring 3 days in office (Tuesday, Wednesday, Thursday). Relocation assistance is available for candidates outside Denver.
Requirements:
- 3+ years of real-world work experience in an analytical function; experience in Marketing (Consumer or B2B), Retail/CPG, or related industry preferred
- Bachelor's degree in Analytics, Statistics, Economics, or related field (required)
- Understanding of general business concepts; experience with consumer marketing tactics (Customer Lifetime Value, lifecycle, User Acquisition, Retention) or Retail/CPG industries preferred
- Technical proficiency with: Databricks, SQL, Python/R, Pyspark, Spark, Git/GitHub, Excel/Google Suite; BI tools like Looker; customer-facing slide presentations; Google Analytics and Mobile Measurement Platforms; data pipelines and ETL/ELT processes; AI integration in analytics workflows
- Experience building accurate, performant forecasting and data models: time series modeling/forecasting/seasonality, predictive models for strategic decisions, classification modeling for personalization
- Proficiency in applied statistical analysis, experimental design, and hypothesis testing
- Experience collecting, delivering, and analyzing large, multi-dimensional datasets
- Excellent communication skills including data summaries, visualizations, and storytelling
- Intellectually curious, conceptual thinker with creative problem-solving skills
- High attention to detail and drive for accuracy
- Proven success leveraging analytical tools and approaches to generate business value
- Must be currently authorized to work in the United States on a full-time basis
