Pngme offers unified financial data for 3.3 billion people

At Pngme, we believe everyone deserves equal access to finance. Our platform enables this by making the process of collecting, analyzing, and using financial data by financial institutions frictionless and simple. Banks, Fintechs, and Credit Bureaus use our platform to create innovative financial products for un/underserved people. Our platform enables one-click data sharing, real time insights, and credit scoring. Pngme is on a mission to give ownership of data back to people, thereby giving equal access to finance and enabling wealth creation for billions of people.

Our offices are located in San Francisco, Lagos, and Nairobi. We invest heavily in our employees and pride ourselves on our inclusive culture and ongoing professional development that focuses on finding your 'perfect fit'. We are backed by Radical Ventures, Unshackled Ventures, Lateral Capital, Echo VC, as well as the inventor of Amazon Alexa and other renowned investors. We have team members and advisors from PayPal Ventures, Branch International, Juvo, and Layer6.

We are looking for a data scientist that has worked on tech products at scale that wants to join a dynamic and innovative data engineering organization. You will be working on some of the most critical features and technology for our company. Join us on our mission to give equal access to finance to anyone.

REQUIREMENTS

• Work collaboratively with the data engineering team to understand our data, build exploratory predictive models, and scale our data science capabilities
• Strong probability and statistics background and experience with exploratory data analysis
• As a founding member of the data science team you will have the opportunity to define your role and direction of the data science team within Pngme
• Collaborate with product, design and the broader engineering team on data science models, machine learning features, and platform functionality
• Evaluate customer use cases from a technical and data science perspective
• Join in system design conversations with partners in product and engineering to build real-time financial insights for our customers
• Participate in team meetings, product strategy, and technical roadmaps while being an active and collaborative voice in the discussion
• Participate in developing leadership skills and finding you perfect fit in the company through our team culture program

REQUIREMENTS:

• Computer Science degree, Mathematics degree or equivalent
• 4 - 5+ years of professional experience as a data scientist
• Expert in statistics and data science, and machine learning models

PLUS:

• Experience coding in Python
• Experience with SQL
• Experience with data science in the field of finance or credit (desired but not required)

BENEFITS

• Mission driven company focused on giving equal everyone equal access to finance

• We invest heavily in our team and strive to provide a supportive work culture

• Flexible work policy from our global offices (when open) or remote

• Innovative engineering and product culture

• Inclusion and diversity as a company priority

• Founder-led company

• Inclusive stock option plans

• Competitive compensation packages

• Comprehensive benefits (including 100% healthcare, dental, vision and 401k

• Additional benefits include home office reimbursements

Salary: $140,000 - $200,000 USD