Remote Senior Data Scientist (LATAM)

Description:

• Sezzle is a cutting-edge fintech company focused on financially empowering the next generation.
• The company addresses challenges related to credit card ownership and credit scores through a payment platform offering interest-free installment plans.
• The Senior Data Scientist role is remote and based in Latin America.
• The position involves joining the core AI/ML team to design, develop, and deploy machine learning models for Sezzle's financial platform.
• Responsibilities include building scalable machine learning solutions for personalized recommendations, dynamic collection systems, and internal A.I. tools.
• The role requires utilizing a mix of cloud services, open-source tools, and proprietary algorithms.
• Key tasks include building machine learning-based collection systems, developing forecasting models, designing recommender system architectures, conducting A/B tests, and deploying models in AWS.

Requirements:

• Candidates must have 5+ years of experience as a data scientist or machine learning engineer.
• A proven track record of building and deploying impactful machine learning systems is required.
• Proficiency in SQL and Python is essential.
• Expertise in data analysis and database structures is necessary.
• Experience with TensorFlow and PyTorch for building and deploying neural networks is required.
• Experience in building risk models or collection systems is a plus.
• Experience in building machine learning recommender systems is also a plus.
• Strong academic performance with a GPA of 4.2+/5.0 is expected.

Benefits:

• Sezzle promotes a culture of high standards and continuous improvement among its employees.
• The company values innovation and encourages developing new ways to approach challenges.
• Employees are empowered to make quick decisions and take calculated risks.
• Trust and respect are fundamental values within the team, fostering open communication.
• The company supports a results-driven environment where employees are encouraged to focus on key inputs and deliver quality outcomes in a timely manner.