Data Scientist Sr Manager - Hybrid
Stori Card
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.
You will
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Lead a team of analytics engineers to design, develop, and maintain data products to support modeling, analytical, and operation needs in deposit product in the company
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Work closely with stakeholders, product, and business team to understand business problems, and explore/propose various data sources/solutions, and turn that into technical requirements, including developing prototyping to demonstrate the feasibility of data and analytics solutions
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Understand and Identify server APIs that needs to be instrumented for data analytics and operations, and align events for execution in already established data pipelines and downstream operational systems
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Set up data governance framework to manage data access, ownership, and quality across the organization
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Optimize existing analytical data models, data pipelines, and data visualizations to ensure accurate and timely reporting and analytics
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Build and manage a high performance analytics engineering team to ensure high-quality deliverables
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Help set company-wide standards for data marts regarding structure, quality and expectations
Requirements
- Experience:
- 8+ years of experience as an analytics engineer, data engineers, data analysts/scientists or equivalent
- 8+ years of designing and managing data models and production data pipelines
- 5+ years of analytics/engineer team management
- Skills and attitudes
- Expert in SQL, git and a programming language (ie Python, Java, etc)
- 5+ years of experience with Snowflake/Redshift and dbt
- 5+ years of experience with CI/CD and DataOps best practices
- 5+ years of experience in data product development and management
- Creative, resourceful, and enthusiastic about seeking new solutions to problems and opportunities
- Bonus Points:
- 5+ years of experience in data product development in collection or credit risk area
- 5+ years of experience in building data product for fintech companies
- Experience with Airflow or other data pipeline orchestration tools
What we offer
- Make a positive impact on the lives of our customers via financial inclusion
- International exposure & work experience
- Professional development opportunities
- Promote from within
- Competitive salaries with strong Stock Option package
- Health, dental and vision insurance
- Paid time off
- Flexible schedule including remote work
- 401(k)
- Health Savings Account
- FSA
- Commuter Benefits
- Short and Long Term Disability
- Life Insurance
- Employee Assistance Program
- Open office design
- Onsite gym
- Casual dress code
- Company outings