Data Science Manager (AI/ML)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Data Science Manager (AI/ML): Developing and delivering machine learning and AI solutions for Claims use cases with an accent on claim triage, fraud detection, severity prediction, and agentic AI. Focus on leading a team, managing model governance and production deployment, and operationalizing solutions through monitoring and continuous improvement.
Location: Chicago, Illinois; hybrid work from a local office. Remote options will be considered for non-local candidates.
Salary: $115,700–$192,900 (annual range)
Company
is a specialized insurer providing products and services that support customers’ evolving needs.
What you will do
- Manage a small team of data scientists and data engineers to research, design, develop, deploy, and maintain machine learning, AI, and agentic AI solutions for Claims.
- Lead projects end-to-end: define scope, manage timelines, and communicate progress, insights, results, and recommendations to business partners and senior leadership.
- Collaborate with Data Engineering, IT, and business partners to operationalize ML/AI solutions.
- Own model governance across planning, documentation, validation, deployment, monitoring, and review.
- Oversee model performance and drive continuous improvement of deployed solutions.
- Coach and mentor team members to maintain technical excellence in AI/ML, software engineering, and solution design.
Requirements
- Graduate degree in Mathematics, Statistics, Engineering, or another STEM field plus 6–8 years of experience in a data science/analytics environment (insurance industry experience preferred).
- At least 6 years of experience with statistical modeling, machine learning, and AI technologies.
- Strong proficiency in Python and SQL.
- Experience developing and deploying predictive models into production.
- Experience with software development best practices, including Git, code reviews, testing, and model lifecycle management.
- Strong written and verbal communication skills for explaining technical concepts and analytical insights to business stakeholders and senior leadership.
Nice to have
- PhD in a STEM field with 4–6 years of insurance industry experience in data science/analytics/AI.
- Prior experience mentoring or managing talent.
- Claims experience.
Culture & Benefits
- Hybrid work from a local office; remote options considered for non-local candidates.
- Annual discretionary bonus eligibility.
- Benefits include Medical, Dental, Vision, PTO, and 401k.
- Emphasis on high-performing culture, personal development, professional challenge, and healthy work-life balance.
Hiring process
- Interviews focused on technical leadership, ML/AI delivery experience, and communication with business stakeholders.
- Evaluation of experience with model governance, production deployment, and team mentorship/management.
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