Senior Data Scientist

hace 2 meses

Bogotá Cundinamarca, Colombia Sezzle A tiempo completo

**Job Title**: Senior Data Scientist

**Location**: Remote / Latin America

**About Sezzle**:
Sezzle is a cutting-edge fintech company dedicated to financially empowering the next generation. With only one in three millennials owning a credit card and the majority lacking their desired credit scores, Sezzle addresses these challenges through a payment platform that offers interest-free installment plans at online stores. By increasing consumers' purchasing power, Sezzle drives sales and basket sizes for thousands of eCommerce merchants that it partners with.

**About the Role**:
We are seeking a talented and motivated Senior Data Scientist who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement. You will join our core AI/ML team and work on designing, developing, and deploying machine learning models to power and enhance our financial platform. Your responsibilities will involve building scalable machine learning solutions for personalized recommendations, dynamic collection systems, internal A.I. tools, and more, using a mix of cloud services, open-source tools, and proprietary algorithms.

**What You'll Do**:

- Build machine learning-based collection systems
- Develop forecasting models to understand and predict cash flow
- Design recommender system architectures from scratch
- Utilize off-the-shelf recommender systems like AWS Personalize
- Design and conduct A/B tests to measure effectiveness
- Use PyTorch/TensorFlow to build neural network-based systems
- Deploy machine learning models in AWS
- Monitor model performance and feature drift

**What We Look For**:

- 5+ years of experience working as a data scientist or machine learning engineer
- Proven track record of building and deploying impactful machine learning systems
- Proficiency in SQL and Python
- Expertise in data analysis and database structures
- Experience building and deploying neural networks with TensorFlow and PyTorch
- Experience building risk models or collection systems (a plus)
- Experience building machine learning recommender systems (a plus)
- Strong academic performance with a 4.2+/5.0 GPA

**About You**:

- You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
- You're not bound by convention - your success—and much of the fun—lies in developing new ways to do things.
- You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
- You earn trust - you listen attentively, speak candidly, and treat others respectfully.
- You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
- You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.

**Interview Process**:
1. Online Assessment (12 minutes)

2. SQL and Python Questions (30 minutes)

3. Virtual Interview (30 minutes)

**What Makes Working at Sezzle Awesome**:
At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.

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