Data Science Manager

Hyundai Capital • Irvine, CA

6d • Hybrid

About The Position

The Data Science Manager is an experienced individual contributor who independently builds, validates, and deploys machine learning, AI, and statistical models that support business needs across the enterprise. Working under general direction, the role owns assigned AI solutions from problem framing and data preparation through model development, evaluation, and production. The role applies LLM-based and agentic AI techniques alongside traditional machine learning and partners with business, product, technology, AI governance, security, and compliance teams to deliver well-governed solutions with measurable results.

The position designs, develops, and deploys models for assigned business problems; builds and evaluates LLM-based and agentic AI solutions; and deploys models into production with ongoing performance monitoring. It also contributes to team modeling standards and reusable patterns, conducts peer code and model reviews, and provides technical guidance as needed.

Requirements

• 5–7 years of hands-on experience building machine learning, AI, and statistical models and deploying them to production, including building LLM-based or agentic AI solutions; equivalent project experience may be considered.
• Experience independently managing projects or workstreams of moderate scope and complexity.
• Bachelor’s degree in Data Science or AI, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative discipline; equivalent related work experience may be considered.
• Thorough working knowledge of applied machine learning, AI, and statistics, including model design, evaluation, and validation.
• Working experience with LLMs, agent development, retrieval-augmented generation, tool calling, and AI evaluation and guardrails.
• Proficiency in Python, PySpark, SQL, and common machine learning and LLM application frameworks.
• Experience building and deploying models on AWS (SageMaker, Bedrock) or a similar cloud platform, with working knowledge of MLOps/LLMOps/AgentOps practices such as model registry and monitoring.
• Ability to translate business problems into well-scoped data science solutions and explain model results and limitations to non-technical stakeholders.
• Understanding of responsible AI and model governance practices in a regulated environment.
• Strong analytical, communication, and collaboration skills, with the ability to manage multiple projects and changing priorities.

Nice To Haves

• Automotive or financial services industry experience.
• Master’s degree in a quantitative field.

Responsibilities

• Design, develop, and deploy machine learning, AI, and statistical models for assigned business problems.
• Define success metrics with business partners and measure impact through testing and analysis.
• Build and evaluate LLM-based and agentic AI solutions, including retrieval-augmented generation and AI agents, using established evaluation, guardrail, and quality standards.
• Deploy models into production and maintain their performance, including training and inference pipelines, versioning, and monitoring for drift and accuracy.
• Partner with business, product, technology, AI architecture and governance, security, and compliance teams to scope use cases, access data, document solutions for the AI catalogue, and meet responsible-AI and regulatory requirements.
• Contribute to team modeling standards and reusable patterns, conduct peer code and model reviews, and provide technical guidance as needed.

Benefits

• Hybrid flexibility: four days onsite and one day remote.
• Monthly vehicle allowance plus vehicle purchase and lease discounts.
• Medical, dental, and vision plans.
• Employer-funded HSA contributions.
• 401(k) with company match and immediate vesting from day one.
• Company-paid life and disability insurance.
• Wellbeing benefits, including fitness and health resources.
• Leadership programs and career development supporting continuous learning.
• Paid Volunteer Time Off and a company charitable donation in the employee’s honor.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level