Senior Data Scientist

Perpay Marketplace: Combines interest-free payments and modern e-commerce to reduce cost of ownership and promote healthy repayment behavior.

Perpay+: Leverages Marketplace repayment history to help members monitor and build credit with all 3 credit bureaus.

Perpay Credit Card: Expands access to the flexibility and benefits of a World Mastercard by removing common barriers like high security deposits and low approval odds.

As a Senior Data Scientist at Perpay, you will be a critical player in the day-to-day success of the business, supporting new and existing product initiatives through strong analytical skills and machine learning expertise. In addition, you will be responsible for helping shape the future of the data science team by developing processes and systems that scale with our rapidly growing business. This is an exciting opportunity to make a positive impact on the execution of Perpay’s mission and the lives of our customers. We are looking for someone who is passionate about all aspects of data science: from machine learning and exploratory data analysis to communication of results and real-time deployments. This crucial role will sit on our data science team and report to the Data Science Manager. If you’re looking for a collaborative team that you can bounce ideas off of and learn from, this is where you belong. We are about being curious, setting the standard and building good habits at Perpay.

Our greatest strength is our people and we’d love for you to be one of them!

5+ years of experience* and expertise applying machine learning techniques in industry

5+ years of experience* and expertise in producing data analysis, exploratory data analysis and data visualization in industry

5+ years of experience* and expertise in developing, deploying, maintaining real-time software (e.g. models exposed as APIs)

5+ years of experience* and expertise in Cloud compute infrastructure and best practices, including familiarity with tools such as terraform and Cloud Formation

Bachelor's degree or higher in a quantitative/technical field (Mathematics, Statistics, Engineering, Chemistry, Physics)

Excellent communication skills, across a range of audiences from technical to non-technical

Strong business acumen, demonstrated through subject matter expertise in at least one industry

Capable of managing projects “end to end” including managing project scope, timelines and workloads

Advanced proficiency in Python and standard data science stack (e.g. scikit-learn, pandas, numpy, matplotlib, etc.)

Team player: willingness and ability to establish strong working relationships not just within the data science team itself, but across the organization

*Internships not included

Expertise in multiple advanced machine learning methodologies: e.g. deep learning, probabilistic programming, mathematical optimization, etc.

Deep familiarity in multiple advanced machine learning frameworks: e.g. tensorflow, pytorch, pymc, etc.

Experience with scalable compute frameworks such as Spark or Polars

Experience with deployment frameworks such as Kubernetes

Competitive salary + company equity

401k with company match

Medical / Dental / Vision insurance

Flexible Spending Account (FSA)

Team member discounts

Relocation assistance

Pre-tax commuter benefit

Student loan repayment match

Gym subsidy with City Fitness

Cell phone plan

Paid parental leave

Unlimited PTO