Data Science Manager
Hyundai Capital America
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Benefits offered by this job
Job summary
Hyundai Capital America is seeking a Data Science Manager to independently build, validate and deploy ML, AI and statistical models that serve enterprise needs. The role applies LLM-based and agentic AI techniques with production-grade pipelines and governance.
The position partners with business, product, technology, AI governance, security and compliance teams to ensure well-governed solutions with measurable impact across the enterprise.
Qualifications
- 5-7 years of hands-on experience building ML/AI models and deploying to production including LLM/agentic solutions.
- Experience independently managing projects or workstreams of moderate scope.
- Automotive or financial services industry experience preferred.
- Bachelor's degree in a quantitative field; Master's preferred.
- Working knowledge of MLOps/LLMOps/AgentOps practices.
- Ability to translate business problems into data science solutions and explain results.
Responsibilities
- Design, develop and deploy ML, AI and statistical models for business problems; define success metrics with partners.
- Build and evaluate LLM-based and agentic AI solutions with safety guardrails.
- Deploy models into production with training, inference, versioning and drift monitoring.
- Collaborate with business, product, technology, governance, security and compliance teams.
- Contribute to modeling standards and provide technical guidance.
Skills
Education
Tools
Job description
Hyundai Capital America (HCA) helps people move forward. Through Hyundai Motor Finance, Genesis Finance, and Kia Finance, we deliver innovative financing, leasing, and insurance solutions to more than 3 million customers and businesses nationwide. We're a company driven by growth, innovation, and people. At HCA, you'll find opportunities to build new skills, expand your career, and make a real impact while working in a diverse, inclusive, and values-driven environment. We're proud to support our communities through volunteerism, philanthropy, and engaged Employee Resource Groups. If you're looking for a fast-paced, collaborative workplace where your ideas matter, join us as we lead the future of financing freedom of movement.
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, applying LLM-based and agentic AI techniques alongside traditional machine learning. The role partners with business, product, technology, AI governance, security and compliance teams to deliver well-governed solutions with measurable results.
- 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, applying 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 and technology teams, AI architecture and governance, security and compliance 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.
- 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.
- Automotive or financial services industry experience preferred.
- 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.
- Master's degree in a quantitative field preferred.
- 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 and 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.
At HCA, our people drive our success. That's why we offer a competitive rewards package that supports your health, financial future, and overall wellbeing and work and beyond.
- Hybrid Flexibility - 4 days onsite, 1 day remote
- Vehicle perks - monthly vehicle allowance plus purchase and lease discounts
- Comprehensive health coverage - medical, dental, and vision plans
- Employer-funded HSA contributions to help reduce healthcare costs
- 401(k) with company match and immediate vesting from day one
- 100% company-paid life and disability insurance
- Wellbeing benefits including fitness and health resources
- Leadership programs and career development that support continuous learning
- Paid Volunteer Time Off and a company charitable donation in your honor
Because great benefits help you thrive personally and professionally.
Our Company is an equal opportunity employer committed to fostering a diverse, inclusive, and respectful workplace and because we believe diversity builds stronger teams. We comply with all applicable federal, state, and local equal employment opportunity laws and do not discriminate on the basis of race, religion or creed, color, national origin, ancestry, caste, citizenship, sex or gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, medical condition, genetic information, marital status, family care or medical leave status, military or veteran status, political affiliation, or any other characteristic protected by law. Information provided during the application process is requested in good faith and will be used solely in accordance with applicable employment laws.
This notice only applies to our applicants who reside in the State of California.
The latest version of our Privacy Policy can be found here. This Privacy Policy provides you with notice, at or before the point of collection, about the categories of personal information to be collected from you, the purposes for which your personal information is collected or used, and whether that information is sold or shared, so that you can exercise meaningful control over our use of your personal information. We are providing this notice to comply with the California Consumer Privacy Act of 2018, as amended by the California Privacy Rights Act of 2020 ("CCPA").
If you have any questions about CCPA regarding California residents or HCA team members, please contact the Privacy Team at Privacy2@hcs.com.
United States-California-Irvine
Headquarters 1
Enterprise Data Strategy
Regular
Exempt
Full-time
100,000.00
155,000.00
Oct 30, 2026
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