Remote Senior Manager, Predictive Modeling & ML

creditacceptance; United States; Teletrabalho; USD 184 000 - 270 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

401(K) match

Parental leave

Tuition reimbursement

Medical/dental/vision benefits

Resumo da oferta

Credit Acceptance is seeking a Senior Manager to lead complex modeling initiatives and drive innovation in machine learning and data science. You will design and deploy advanced statistical models that inform credit risk, collections, and operations, with mentorship of junior data scientists and collaboration with stakeholders.

The role emphasizes leadership, technical depth, and business acumen to elevate analytics capabilities while enabling flexible work arrangements including remote options.

Qualificações

• Bachelor's in a quantitative field.
• 8+ years of experience in predictive modeling and analytics.
• 6+ years applying ML in production environments.
• Advanced proficiency in Python, SQL, and statistical tools (e.g., R, SAS).
• Experience with cloud platforms and MLOps tools.
• Thought leader with strong communication and stakeholder management skills.

Responsabilidades

• Lead design and deployment of predictive models for credit risk, collections, and operations.
• Mentor and support junior and peer-level data scientists.
• Present insights to senior and cross-functional stakeholders.
• Drive adoption of modern data science tools and platforms.
• Experiment with emerging techniques (e.g., causal inference, GenAI).

Conhecimentos

Python

SQL

R/SAS

ML in production

Cloud & MLOps

Stakeholder management

Formação académica

Bachelor's in quantitative field

Descrição da oferta de emprego

Credit Acceptance is seeking a Senior Manager to lead complex modeling initiatives and drive innovation in machine learning and data science. You will design and deploy advanced statistical models that inform credit risk, collections, and operations, with mentorship of junior data scientists and collaboration with stakeholders.

The role emphasizes leadership, technical depth, and business acumen to elevate analytics capabilities while enabling flexible work arrangements including remote options.