Remote Senior Data Scientist (Colombia)

Description:

• Sezzle is a cutting-edge fintech company focused on empowering the next generation financially.
• 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 part of a rapidly growing team with opportunities for career advancement.
• Responsibilities include designing, developing, and deploying machine learning models to enhance Sezzle's financial platform.
• The role involves building scalable machine learning solutions for personalized recommendations, dynamic collection systems, and internal A.I. tools.
• Key tasks include building machine learning-based collection systems, developing forecasting models, designing recommender system architectures, utilizing off-the-shelf recommender systems, conducting A/B tests, using PyTorch/TensorFlow for neural networks, deploying models in AWS, and monitoring model performance.

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:

• Working at Sezzle offers the opportunity to be part of a team of brilliant engineers and passionate data enthusiasts.
• The company culture emphasizes hiring the best individuals and fostering a collaborative environment.
• Employees are encouraged to develop new ways of doing things and are supported in taking calculated risks.
• Sezzle values high standards, trust, and delivering results, creating a dynamic and rewarding workplace.