Data Scientist at Addi.

We are a technology company working to transform credit and banking in Latin America starting with point of sale finance. We aim to build fair, simple and affordable financial services that empower our clients, treating them with dignity, and building financial freedom. We launched in February 2019 and have already served millions of clients and disbursed millions of dollars.

We operate as a full stack startup. We have built our core systems and processes from scratch, and we believe our technology and analytics platform will drive our progress into the years to come. We come at this with deep experience building and growing technology teams and financial products. As important as what we do is how we do it. We are a conscious company and are deeply committed to working and living our five core values - A company of owners inspiring colleagues, we pull rabbits out of hats, we care and we trust, act with integrity, win today every day, and scale exponentially.

We are backed by Andreessen Horowitz, Monashees, Village Global, and an outstanding team of individual angels, including Kevin Ryan, Josh Abramowitz, and Scott Weiss.

As a technology company, ADDI relies heavily on data and relies heavily on data analytics to make its critical decisions. The data scientist's job is to provide an enhanced view of the business through powerful data models and insights.

• Collect, prepare and explore data to identify patterns and behaviours that can translate into efficient credit strategies, fraud reduction, and customer engagement.

• Recurrently develop existing models to make them more robust and efficient in prediction and targeting.

• Constantly monitor model performance metrics to track model performance against our established standards.

• Partner with teams on the business side to understand what managers/clients/prospects are saying and how you can illuminate new ways of modelling.

• Timely communicate data insights to the Data team and other stakeholders and provide guidance on how to leverage analytic insights into actionable strategies.

• Carry our Research and Development to build new capacities for data analytics at ADDI.

• Search and test for new data sources to boost model performance.

• Mentor Junior colleagues with an active plan for career development.

• 3+ years of full-time technical work experience as a data scientist, preferably in Fraud.

• Technical excellence in modelling techniques (machine learning, time series analysis, statistical modelling, experiment and hypothesis testing).

• Willingness to work with a distributed team.

• Solid understanding of statistics and machine learning techniques.

• Experience with data analysis and modelling with modern Python libraries.

• Proficiency in SQL.

• Great Communication abilities with technical and non-technical stakeholders.

• Fluent in English,

• Excellent communication skills with an active feedback loop.

• Work on a problem that matters and help change customers’ lives.

• Build a lasting company from the very beginning, helping define every aspect of it.

• Massive market opportunity ahead of us; we are growing faster than pretty much any other fintech lender was at our stage.

• Work alongside a great and diverse team that cares about what we are doing and how we are doing it.

• Generous compensation, including equity, 100% health insurance (and 1000% for dependents), flexible time-off, learning budget, and visa sponsorship for foreigners.

• Meet with our recruiter for a 30-minute video chat. We will get to know you better, understand what you’re looking for, and answer any questions you might have about ADDI.

• Meet with our Data Science Lead for a 45-minute video chat interview. Here, we will ask you questions about your technical background and basic computer science concepts. You will be able to ask any questions about the culture and how we work at ADDI.

• 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.

• Meet with a Data Scientisti and the Data Science Lead for a 45-minute chat to talk about your take-home exercise submission and any questions you might have.

• Meet onsite with one of our founders for a 30-minute chat to talk about the vision of the company, what we are building and how you will contribute to our product.