We are a leading financial platform, building the future of payments, shopping, and banking—a world where consumers and merchants can transact effortlessly and grow together. Today, we serve over 2 million customers and partner with more than 20,000 merchants, making Addi Colombia’s fastest-growing marketplace.

With a state-of-the-art, technology-first approach, we provide banking solutions (deposits, payments, unsecured credit) and commerce services (e-commerce, marketing), bridging the financial gap for millions and redefining how people experience financial freedom. As the country’s leading Buy Now, Pay Later provider, we have secured regulatory approval to operate as a bank, unlocking even greater opportunities for our customers. In the past year, we have also achieved profitability, reinforcing the strength of our business model and our ability to scale sustainably.

Our mission has earned the trust of world-class investors, including Andreessen Horowitz, Architect Capital, GIC, Goldman Sachs, Greycroft, Monashees, Notable Capital, Quona Capital, Union Square Ventures, Victory Park Capital, and more, who back our vision for the future. With their support, we are not just growing—we are transforming Latin America’s financial ecosystem and shaping the next generation to shop, pay, and bank in Colombia.

But what truly sets us apart is how we build. We are a conscious company, driven by deep experience in scaling technology, services and products, and we live by our values every day.

About The Role

This is where you come in. Below, you’ll find what this role is all about—the impact you’ll drive, the challenges you’ll tackle, and what it takes to thrive at Addi. If you’re ready to be part of something big, keep reading.

What’s The Mission You’ll Drive

Design, implement, and monitor scalable ML models to better understand customer behavior and needs, enabling data-driven strategies that enhance engagement, growth and retention. Collaborate with cross-functional teams to transform insights into actionable solutions that drive Addi’s growth and enhance customer experiences.

What You Will Do

Develop and Implement ML Models: Design, implement, and scale machine learning and ML models to analyze customer behavior, optimize marketing strategies, and improve overall engagement with Addi’s platform. This includes leveraging techniques like supervised and unsupervised learning, propensity scoring, and recommendation systems.
Manage Data Pipelines and Model Deployment: Collaborate with data engineering teams to design and optimize data pipelines that support the seamless deployment of the models into production. Ensure that models are integrated efficiently and can be scaled, maintained, and monitored for performance in a live environment.
Monitor and Evaluate Model Performance: Continuously monitor the performance of deployed models, evaluate their impact on business metrics, and iterate to improve their accuracy, scalability, and overall performance.
Collaboration and Knowledge Sharing: Work closely with product managers, marketing teams, and stakeholders to translate data insights into actionable strategies, and actively participate in cross-functional meetings to align ML models with business goals.
Innovate and Improve Processes: Continuously innovate by proposing ML models, algorithms, or tools that enhance customer experience, optimize product recommendations, and improve overall marketplace performance.
Conduct A/B Testing: Design and execute A/B tests to assess the impact of different offers, product recommendations, and marketing strategies on customer engagement and conversion rates. Analyze the results to understand customer sensitivity to various factors and refine approaches accordingly.

What We’re Looking For

Technical expertise:
3+ years of experience in data science areas focused on client segmentation, marketing optimization, and recommendation systems, including end-to-end model design from scratch, development, deployment, and scaling.
Strong knowledge of statistics and mathematics.
Programming languages and tools Proficiency:
Proficiency in data management with SQL
Machine learning modeling: Python
Experience with python libraries such as TensorFlow/Keras/Scikit-learn/ PyTorch
Advanced expertise in machine learning algorithms:
Deep knowledge in classification models, particularly for propensity scoring: Proficiency in developing and applying propensity score models to predict customer behavior, such as the likelihood of purchasing a product, or engaging with a specific channel.
Experience in model interpretability: The ability to explain model results using SHAP, LIME, and other explainability techniques to ensure transparency and stakeholder trust.
Recommendation algorithms: Familiarity with collaborative filtering, content-based filtering, and hybrid models for product recommendations or LLMs applied to this field.
Proficiency in statistical methods:
Proven experience in A/B testing and experimental design: Designing, executing, and analyzing experiments to validate the impact of models and business strategies.
Values and Ownership:
Strong communication skills: Ability to clearly explain complex technical concepts and model results to non-technical stakeholders and senior leadership, influencing key business decisions.
Proactive Problem Solver: Demonstrates ownership by anticipating challenges, identifying opportunities for improvement, and taking initiative to drive solutions.
Customer-Centric Mindset: Prioritizes understanding customer behavior and needs to design solutions that enhance engagement and satisfaction.
Accountability for Results: Takes responsibility for the success of projects, ensuring models and solutions meet both technical and business expectations.
Ethical Responsibility: Upholds high standards of data privacy and ethical modeling practices.
Desirable Qualifications
Bachelor's degree in: Physics, mathematics, statistics, economics, or computer science.
Experience with marketplace platforms
Experience in data science roles at start-ups

Why join us?

Work on a problem that truly matters – We are redefining how people shop, pay, and bank in Colombia, breaking down financial barriers and empowering millions. Your work will directly impact customers' lives by creating more accessible, seamless, and fair financial services.
Be part of something big from the ground up – This is your chance to help shape a company, influencing everything from our technology and strategy to our culture and values. You won’t just be an employee—you’ll be an owner
Unparalleled growth opportunity – The market we’re tackling is massive, and we’re growing faster than almost any fintech lender at our stage. If you’re looking for a high-impact role in a company that’s scaling fast, this is it.
Join a world-class team – Work alongside top-tier talent from around the world, in an environment where excellence, ownership, and collaboration are at the core of everything we do. We care deeply about what we build and how we build it—and we want you to be a part of it.
Competitive compensation & meaningful ownership – We believe in rewarding our talent. You’ll receive a generous salary, equity in the company, and benefits that go beyond the basics to support your growth.

How The Hiring Process Looks Like

We believe in a fast, transparent, and engaging hiring experience that allows both you and us to determine if there's a great fit. Here’s what our process looks like:

Step 1: People Interview (30 min) A conversation with a recruiter or hiring manager to get to know you, your experience, and what you're looking for. We’ll also share more about Addi, our culture, and the role.
Step 2: Initial Interview (45-60 min) A more in-depth conversation with the hiring manager, where we explore your skills, experience, and problem-solving approach. We want to understand how you think and work.
Step 3: Take Home Challenge (5-6 days) Complete a simple take-home challenge within a 1-week window. With this technical challenge, we want to see your technical expertise solving a real-world problem. We expect that you invest 5 hours or less in developing a working solution.
Step 4: Take Home Challenge Review (60 min) Meet with a Data Scientists and the Data Science Lead to talk about your take-home exercise submission and any questions you might have.
Step 5: Co-Founder Interview If there’s a strong match, you’ll have a final conversation with our Founder to align on expectations, cultural fit and ensure mutual excitement. From there, we’ll move quickly to an offer and discuss next steps.

We value efficiency and respect for your time, so we aim to complete the process as quickly as possible. Our goal is to make this experience insightful and exciting for you, just as much as it is for us. Regardless of the outcome, we are committed to always providing feedback, ensuring that you walk away with valuable insights from your experience with us.