About Stori
Stori is a fast-growing, venture-backed financial technology company, on a mission to democratize credit access for 400 million underbanked LatAm consumers. Stori currently operates in Mexico and has a global team with offices in Arlington Virginia, Mexico City, and Asia. We have quickly made our mark as one of the top digital banks in Mexico with more than two million applicants for our credit card product since launching.Stori is one of the top-funded startups in the region with US$250 million raised to date.
We are backed by top global venture capital funds, such as GGV Capital, GIC, Lightspeed Venture Partners, General Catalyst, Goodwater Capital, Mexico’s Tresalia Capital, Vision Plus Capital, BAI Capital and Source Code Capital; who have successfully invested in startups such as Affirm, Airbnb, Alibaba, Stripe, and TikTok.Stori has a standout founder team among fintechs, leveraging 100+ years of accumulated experience in consumer finance, banking and technology across Mastercard, Intel, Capital One, Morgan Stanley, GE Capital, and HSBC in the U.S., Mexico and Asia. The team has launched and managed many multi-million-customer credit card products globally, providing a wide breadth of experience and knowledge to our team.We welcome diversity of background, experience and thinking.
Storians are passionate about our mission and take pride in the products we build. Our culture thrives off of a flat structure and an inclusive environment where all of our employees can be their authentic selves, with boundless opportunities for professional growth.
The role
As a customer centered company, customer understanding is the top mission of data scientists at Stori. Among all the sources to be used in customer understandings, Stori data scientists use “Data” as the most reliable one. On any given day you will be challenged on three types of work – Modeling and Monitoring, Data Analytical Problem Solving and Innovation:
Modeling (guided or independently):
Communicate with the business intent holders to understand the new business initiatives
- Design a model as a product
- Data collection, processing and transformation
- Explore new data sources
- Build, Demonstrate, Maintain and Iterate modeling solutions from end to end
Analytical Problem Solving
Translate vague context and phenomenon into structure analytical problems and leverage statistical knowledge, machine learning models and visualization to derive meaningful insights on business intents and strategies using data and drive action
- Leverage advanced statistical techniques like incrementality, experiment design, regression analysis, clustering, causal inference, synthetic control selection to measure digital marketing KPIs, ROI on ad spending, marketing effectiveness, lifetime value (LTV) and referral loop factor etc.
- Build new metrics, dashboards and insights to measure the performance and impact of the growth marketing team activities in order to optimize and scale their actions
Innovation
We embrace the rapid development in technology and science. You will be encouraged to explore advanced tools or information sources that can help the team in problem understanding, problem solving and product maintenance.
An ideal team partner shares:
Passion, Curiosity and Problem Solving with cross functional teams
As a data scientist at Stori, you will be facing varied problems throughout the life cycle of credit. Though we encourage talents with varied backgrounds to join us, to solve the puzzles with us together, we believe these are the keys:
Passion in data: Data is the foundation of everything at the Stori Data Science team. We believe in the power of machine learning but data is always our most trustworthy friend. Curiosity: We believe curiosity is the best mentor to data scientists. We are not only looking for data scientists, but more importantly, we are looking for partners that can inspire us with their wonders. Problem solving: Data scientists at Stori solve puzzles. We use data to understand our customers, we also use data to provide solutions in helping customers. Collaboration: Work effectively in close partnership with marketing and branding leadership, using data and insights to drive strategy including creation and evaluation of marketing programs.Basic Qualifications.
- Advanced degree in Computer Science, AI, Physics, Statistics, Applied Math or other quantitative fields
- 3+ years of work experience with Python and SQL programming for data analysis
- 3+ years of work experience in data science
- Solid oral and written communication skills, especially around analytical concepts and methods
- Demonstrated ability to work under pressure and to meet tight deadlines with proactiveness, decisiveness and flexibility
- Passion in problem solving with data and data analytics
- Self-motivated with intellectual curiosity
- Proven ability to quickly learn new technologies, concepts and tools
Preferred Qualifications.
- 2+ years of experience with Credit industry or in growth marketing team
- 2+ years of experience coaching junior data scientists and analysts
- 5+ years of work experience with Python programming
- 5+ years of work experience with Machine learning or Statistical Modeling
- Experience in A/B testing design and execution
- Working experience with AWS
- Experience managing projects independently
What we offer
- Make a positive impact on the lives of our customers via financial inclusion
- Professional development opportunities
- International exposure & work experience
- Company swag
- Legally required benefits
