Are you ready to join a fast-growing, high-energy team at a well-funded, venture-backed company changing the game in consumer finance by innovating with the customer’s best interest in mind? At Payoff we’re committed to helping people achieve their financial goals and build a better, stronger financial future. Do you want to be an integral part of building our unique Science Team and helping us achieve our goal of helping people achieve theirs? Then Payoff is the place for you.
About the Job:
At Payoff, we are building a brand name around analytics. We are looking for a Data Scientist to collaborate with business analysts and operations to develop state of the art prediction models. We are looking for someone to work on high visibility projects that directly impact business strategy and outcomes. Our successful candidate will possess a passion for innovative analysis, processes that scale, and developing findings and recommendations that transcend the numbers.
What You’ll Do
- Build complex predictive models to substantially improve marketing efficiency or to increase revenue generated (ex. credit modeling, marketing optimization models, and user-behavior analysis)
- Collaborate across multiple functions, such as Product Management and Data Engineering, to implement models into production and monitor their performance
- Document, monitor, and iterate models used in marketing and production
- Bring the ability to use analytics to drive key success metrics related to business, operation and risk analytics
What You’ll Need:
- 3+ years of experience executing complex data analysis in R and/or Python
- Experience building, validating, and implementing machine learning models in a business setting
- Ability to clearly communicate complex analytical methods and results to business partners
- Strong attention to detail and high level of comfort working in a fast paced, dynamic environment
- MS or Ph.D in Quantitative Field - relevant majors with data science competencies and mindset.
We’d be ecstatic if you have any of the following:
- Recent experience in financial services with involvement in credit scorecard, anti-fraud modeling or marketing optimization
- Working knowledge of Big Data Analytical Stacks
- Experience with Real Time/Streaming Data
- Exceptional performance in ML Competitions
- Familiarity with cluster computer and the Hadoop/Spark ecosystem is a plus.
What You’ll Get
- Competitive Compensation
- Employee (and family) medical benefits paid 100% by Payoff
- Flexible, open vacation policy — rested employees are happy and productive
- All the single-origin, micro-batch coffee you can drink (or tea if that’s your thing)
- Payoff Events — Craft Beer Thursdays, outings, food trucks, ping pong and other fun stuff
About Payoff
Payoff, Inc. is a financial wellness company applying science, psychology and technology to help Members reinvent their relationship with money. We’re focused on working with everyone’s best interest in mind. We believe in taking care of our employees, eating great food, having a sense of humor, getting things done, and always putting the customer first (except in this list).
At Payoff we’re always working on making big changes in consumer financial services, and big changes take big efforts. We need team players, innovators, and leaders who will work hard to help us build and grow.