The US base salary range for this full-time position is $155,000 - $170,000. Our salary ranges are determined by role, level, and location, and the range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location, role-related knowledge and skills, depth of experience, relevant education or training, and additional role-related considerations. Depending on the position offered, equity, bonuses, commission, or other forms of compensation may also be provided as part of a total compensation package, in addition to a full range of medical, financial, and other benefits.

We're here to make money work for everyone and we're doing things differently. For too long, banking has been obtuse, complex and opaque. We want to change that and build a bank with everyone, for everyone. Our amazing community suggests features, test the app and give us constant feedback so we can build something everyone loves. We're focused on solving problems, rather than selling financial products.

We offer a hybrid work environment. Most US-based positions can also be performed remotely (any exceptions will be noted in the Minimum Qualifications below.) To actively connect people to their next great opportunity. ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects job seekers with millions of businesses of all sizes through innovative mobile app, web, and email services, as well as partnerships with the best job sites on the web.

In the fall of 2012, I remember my mother telling me about an article that said data scientists are the new, sexy profession. The moment stuck with me because nobody wants to hear their parents utter the word, "sexy". Unbeknownst to me at the time, this Harvard Business Review article is claimed to be the catalyst for the huge onslaught of students entering the data science field. This wave of "data enthusiasm" would come to have a heavy influence on my own career trajectory. Over the next eight years, the terminology used to describe data-related topics had changed dramatically.

Are you looking to play an integral role in building something bigger? Ibotta is seeking a Senior Decision Scientist to join our analytics team and this opportunity will provide just that. The Senior Decision Scientist will help build out analyses that provide compelling, actionable and data-driven recommendations to internal and external stakeholders. As a Senior Decision Scientist, you will be responsible for using the latest developments in statistics, machine learning, and testing methodologies to understand the business in-depth, support and challenge strategic options, and build state-of-the-art tools to improve our largest line of business. Headquartered in Denver, CO, Ibotta ("I bought a…") is a free app that's transforming the shopping experience by making every purchase rewarding.

If you think smart world-class companies don't face challenges when using machine learning to automate credit decisions, just ask Apple and Goldman Sachs. Based on a flurry of angry tweets and high-profile accusations, the New York Department of Financial Services launched an investigation into potential gender discrimination by algorithms that evaluate Apple Card applicants. Whether real or perceived, gender bias can damage the reputation of tech darlings like Apple, even if their credit decisioning process is wholly managed by someone else -- in this case, Goldman. It doesn't help when one of the accusers is a former Apple co-founder. Enova Decisions understands how to build accurate credit models -- without bias.