Senior Decision Scientist, Product Analytics

About the role

Ibotta is seeking a Senior 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 uses the latest developments in statistics, machine learning, testing methodologies, and data engineering, as well as broader aspects of an analytics organization like minimizing technical debt and increasing organizational data literacy.

Responsibilities

• Leading 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
• Working cross-functionally to analyze large amounts of behavioral and transaction data to provide clients with actionable insights about Ibotta’s users and campaign performance
• Communicating complex analyses and data intricacies in a clear, concise manner both internally as well as to external clients
• Serving as a leader for the ideation, development, and support on strategic initiatives including statistical modeling and advanced analytics within the team
• Mentoring other members of the team

Requirements

• 5+ years of practical work experience in Analytics
• Bachelor’s degree in Computer Science, Engineering or a related field
• Moderate to advanced knowledge of common data science software development packages (Python, R, etc.) and their relevant libraries, along with strong SQL and proven data wrangling and feature engineering skills
• Ability to drive projects end-to-end with minimal guidance/oversight, with examples of high-quality output that provide actionable, business-focused insights and recommendations
• Initiative to proactively anticipate and solve important problems
• Ability to communicate complex analytical concepts clearly and concisely both in written form and verbally to both technical and non-technical audiences, with a track record of strong partnerships with key stakeholders and clients across multiple functions

Qualifications

• 5+ years of practical work experience in Analytics

Skills

• Strong SQL and data wrangling skills
• Advanced knowledge of Python/R and relevant libraries
• Experience with A/B testing and causal inference models
• Excellent communication skills, both verbal and written
• Proven ability to lead and mentor others

Benefits

• Competitive pay
• Flexible time off
• Benefits package (including medical, dental, vision)
• Employee Stock Purchase Program
• 401k match

Pay

• Base compensation range: $97,000 - $118,000

Schedule

• This position is located in Denver, Colorado as a hybrid position requiring 3 days in office (Tuesday, Wednesday, and Thursday).