Senior Data Scientist, Fraud Analytics

Ibotta is seeking a Senior Data Scientist to join our Fraud Analytics team and contribute to our mission to Make Every Purchase Rewarding. Our Fraud team is responsible for balancing an amazing Ibotta customer experience with minimal fraud dollar loss, and we are looking for a bright, creative, and collaborative data scientist who will serve as an expert within the company for delivering solutions that solve complex challenges in our Fraud ecosystem.

As a Senior Data Scientist, you will be responsible for using the latest developments in statistics, machine learning, and data visualizations to generate new fraud insights and inform the business of risk.  You’ll design and maintain software, dashboards and rules to help support situational awareness around our efforts, and will identify fraud potential in new features, programs and products. You will have the opportunity to experiment with and implement a variety of machine learning modeling techniques, and will be able to advance not only your technical skills, but your organizational and leadership skills as well by contributing to the creation of best practices for the team and company.

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.

What you will be doing:

• Initiate and drive collaboration with stakeholders, architects, and data engineers to discover, define, cleanse, and refine the data needed for analysis and modeling

• Consult on fraud risk mitigation for new cross-functional initiatives and provide recommendations and action plans for mitigating risk to discover, define, cleanse, and refine the data needed for analysis  

• Establish meaningful cross departmental relationships with stakeholders and peers to understand business problems and opportunities for improvements

• Analyze, and at times build, large and novel datasets to extract actionable insights to inform model development and understand customer behavior and areas of fraud risk

• Ability to prioritize projects based on business impact and value; lead and manage large scale projects

• Build models using a variety of statistical and machine learning techniques, from selecting the best type of model for the problem to using advanced techniques to measure and optimize model performance for identifying, monitoring, and actioning on fraud trends

• Become an expert of the Ibotta Data Ecosystem and how various team’s leverage Ibotta’s suite of data to answer domain specific business questions through advanced analytic techniques

• Inform experimental design to formulate solutions addressing major business challenges and innovation opportunities

• Provide data science mentoring and education to this team and others across the company, and contribute to creating best practices for the team

• Embrace and uphold Ibotta’s Core Values of Integrity, Boldness, Ownership, Teamwork, Transparency, & Advocate for Savers to help Make Every Purchase Rewarding

What we are looking for:

• 5+ years of experience making significant impacts in a professional data science or machine learning role

• Bachelor's degree in Computer Science, Statistics, Data Science or similar field required; Advanced degree preferred

• A history of and passion for driving important decisions using data and data storytelling

• A love of learning and continuous development, including staying at the forefront of the latest advances in data science and machine learning. Broad-scale community contributions to the fields of data science and machine learning in the way of conference presentations, professional publications, and/or recognized internet presence are a strong plus

• Expert-level knowledge, skills, and abilities in creating, developing, and applying a variety of new or existing machine learning and statistical algorithms, with specific experience using binary classification, dealing with unbalanced datasets, and fraud or fraud-related modeling experience using tools such as XGBoost, Tensorflow, Pytorch, LLMs

• Expert-level experience using modern data analysis tools and languages (SQL, Python, R, Spark or PySpark, Databricks, Imply, AWS, Splunk, etc.)

• Advanced knowledge, skills, and abilities in database manipulation, query languages, and graph data schemas

• Experience manipulating complex data to apply business rules for improved feature engineering within data lakes, distributed systems, and data streams

• Excellent statistical analysis skills, with a solid understanding of experimental design is a strong plus

• Experience with and knowledge of software engineering principles and how to apply those skills to data science (e.g. knowing how to build a model but also having an understanding of how to manage and deploy that model) is a strong plus

• Experience with image recognition tools and software is a plus

• Superior analytical and problem solving skills

About Ibotta ("I bought a...")

Ibotta (NYSE: IBTA) is a leading performance marketing platform allowing brands to deliver digital promotions to over 200 million consumers through a network of publishers called the Ibotta Performance Network (IPN). The IPN allows marketers to influence what people buy, and where and how often they shop – all while paying only when their campaigns directly result in a sale. American shoppers have earned over $1.8 billion through the IPN since 2012. The largest tech IPO in history to come out of Colorado, Ibotta is headquartered in Denver, and is continually listed as a top place to work by The Denver Post and Inc. Magazine.

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, and 401k match. Denver office perks include paid parking, bagel Thursdays, snacks and occasional meals.  

• Base compensation range: $128,000 - $145,000. Equity is included in the overall compensation package. This compensation range is specific to the United States labor market and may be adjusted based on actual experience. 

• Ibotta is an Equal Opportunity Employer. Ibotta’s employment decisions are made without regard of 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.

Recruiting Agency Notice

Ibotta does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to any Ibotta employees. 

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