Remote Senior Data Scientist (Chile)

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 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 building and deploying neural networks using TensorFlow and PyTorch 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 employees to develop new ways of doing things.
• Speed and calculated risk-taking are emphasized in the business environment.
• Trust and respectful communication are core values within the team.
• Employees are encouraged to challenge decisions respectfully and commit to them once made.
• The focus is on delivering results with quality and timeliness, even in the face of setbacks.