Senior Data Scientist
Tala
Data Science
Mexico City, Mexico
Posted on Sep 24, 2025
About Tala
At Tala, we’re applying advanced technology and human creativity to solve what legacy institutions can’t or won't. We are a global financial infrastructure company on a mission to unleash the economic power of the global majority, recognizing that today’s financial infrastructure doesn’t work for most of the world’s population.
We’re the first and only platform to combine the intelligence of a credit bureau, the payments execution of a fintech, and the relationship expertise of a bank into one vertically integrated solution. Our platform is powered by an expansive moat of proprietary data and AI/ML decisioning technology, enabling us to deliver instant, reliable liquidity personalized to every customer's needs. Through our flagship credit app, we’ve disbursed over $7 billion in credit to more than 12 million customers across Latin America, Southeast Asia, and East Africa. These customers have leveraged Tala products to start and expand small businesses, manage day-to-day needs, and pursue their financial goals.
Our pioneering work and proven impact have earned us consistent recognition, including being named to:
CNBC’s Disruptor 50 for five years.
CNBC’s World's Top Fintech Companies for two consecutive years.
Forbes’ Fintech 50 list for nine consecutive years.
Visionary investors, persuaded by the economic power of the global majority, have committed half a billion dollars in equity and debt to Tala's success.
Given the global nature of our team, we operate on a remote-first approach with office hubs in Santa Monica, CA (HQ); Nairobi, Kenya; Mexico City, Mexico; Manila, the Philippines; and Bangalore, India.
Most Talazens join us because they connect with our mission. If you are energized by the impact you can make at Tala, we’d love to hear from you!
The Role
We are looking for a Senior Data Scientist interested in solving one of the world's biggest problems: financial inclusion. As a Data Scientist, you will lead data science initiatives that drive improvements in customer experience, operational efficiency, and recovery. You will own the modeling cycle through scoping, development, deployment after sale, and monitoring, with a keen focus on business outcomes and stakeholder management.
What You'll Do
- Embed with business stakeholders to identify, test, and implement data science solutions that drive business and customer success. Develop a roadmap in collaboration with stakeholders to organize and prioritize initiatives.
- Own full-cycle of machine learning products from ideation and training through deployment into our production environment – including real-time inference – and after-sale service. Obsess over machine learning products, iterating rapidly if necessary.
- Become a multiplier for the data science team by sharing work, providing mentorship to junior team members, providing technical feedback, and developing work into shared team tooling.
- Be a thought partner for the business, leverage data insights and strong communication skills to influence company strategy.
What You'll Need
- 4+ years of experience in a data science role or equivalent position.
- 2+ years in a senior position leading the execution of end-to-end machine learning solutions for business stakeholders.
- Fluency with Python and packages related to machine learning.
- Comfort with SQL.
- Experience with the full modeling cycle, from scoping and development through deployment, after-sale, and monitoring. Demonstrated business value in previous roles.
Our vision is to build a new financial ecosystem where everyone can participate on equal footing and access the tools they need to be financially healthy. We strongly believe that inclusion fosters innovation and we’re proud to have a diverse global team that represents a multitude of backgrounds, cultures, and experience. We hire talented people regardless of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.