Director of Machine Learning

September 26

Apply Now

Receive Emails with Similar Jobs

Kafene

WebsiteLinkedInAll Job Openings

fintech

51 - 200

💰 $18M Series B on 2022-09

Description

• Kafene is a leading point-of-sale financing partner dedicated to empowering flexible ownership solutions for underserved customers nationwide. • We take pride in fostering a dynamic workplace culture that values collaboration, innovation, and mutual support. • We are seeking a highly skilled Director or Manager of Machine Learning Engineering to join our growing team. • You will be pivotal in developing, deploying, and monitoring machine learning models that drive our credit risk assessments. • You’ll own the entire lifecycle of ML model development, from data collection and preprocessing to model training, evaluation, deployment, and ongoing optimization.

Requirements

• Advanced Degree: A Master’s or PhD in a highly quantitative field such as Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related discipline is preferred. • Experience: 3+ years of hands-on experience as a Data Scientist or Machine Learning Engineer, with a strong focus on developing and deploying machine learning models in areas such as credit risk, fraud detection, or marketing analytics. • Technical Requirement: Advanced proficiency in Python, with a proven track record of developing complex machine learning models. • Technical Requirement: Strong SQL skills are essential for efficient data manipulation and querying. • Technical Requirement: In-depth knowledge of machine learning algorithms and techniques, including decision trees, regression models, gradient boosting machines, ensemble methods, AutoML tools, etc. • Model Governance: Experience with model risk governance frameworks and collaboration with model validation teams to ensure compliance with industry standards and regulatory requirements is a plus. • Industry Knowledge: Previous experience in the lending or financial services industry is highly preferred, particularly in the context of credit, fraud, marketing, or other financial applications. • Communication Skills: Ability to effectively communicate complex technical information, both verbally and in writing, to diverse audiences, including technical peers, non-technical stakeholders, and executive leadership.

Benefits

• Base Salary: Earn a competitive base salary ranging from $130,000 to $190,000. • Healthcare: We prioritize your well-being by covering 80% of medical, dental, and vision insurance costs, including coverage for your spouse, children, and other dependents. • Retirement Benefits: Begin planning for your future from day one with our 401k plan. • Paid Time Off: We understand the importance of work-life balance. That's why we offer flexible paid time off days starting from day one of your employment.