Data Science Associate

Who We Are

Through our service brands Hyundai Motor Finance, Genesis Finance, and Kia Finance, Hyundai Capital America offers a wide range of financial products tailored to meet the needs of Hyundai, Genesis, and Kia customers and dealerships. We provide vehicle financing, leasing, subscription, and insurance solutions to over 3 million consumers and businesses. Embodying our commitment to grow, innovate, and diversify, we strive to reimagine the customer and dealer experience and launch innovative new products that broaden our market reach. We believe that success comes from within and are proud to support our team members through skill development and career advancement. Hyundai Capital America is an Equal Opportunity Employer committed to creating a diverse and inclusive culture for our workforce. We are a values-driven company dedicated to supporting both internal and external communities through volunteering, philanthropy, and the empowerment of our Employee Resource Groups. Together, we strive to be the leader in financing freedom of movement.

We Take Care of Our People

Along with competitive pay, as an employee of HCA, you are eligible for:

• Medical, dental, and vision plans with no-cost and low-cost options
• Annual employer HSA contribution
• 401(k) matching and immediate vesting
• Vehicle purchase and lease discounts, plus monthly vehicle allowances by job level:

o Associate / Sr. Associate: $350

o Manager / Sr. Manager: $600

o Director: $800

o Executive Director: $900

o VP or Above: $1,000

• 100% employer-paid life and disability insurance
• No-cost health and wellbeing programs, including a gym benefit
• Six weeks of paid parental leave
• Paid Volunteer Time Off, plus a company donation to a charity of your choice

What to Expect

The Data Science Associate collaborates with senior data scientists, engineers, and business stakeholders to extract insights from data, build predictive and Generative AI models, and enable data driven decision making across the enterprise.

What You Will Do

1. Data Science Operations

• Develop and implement machine learning models (classification, regression, clustering, NLP, etc.)
• Evaluate model performance using appropriate metrics and fine-tune for optimization
• Support A/B testing, design, execution, and analysis
• Design and optimize Prompt Engineering strategies to improve LLM output quality and relevance
• Build and deploy Generative AI solutions using LLMs.
• Present insights, model results, and AI solution demos to cross-functional teams and leadership

2. Data Practice Operations

• Support enterprise data transformation initiatives across financial services (KSIOP) and other business functions, modernizing legacy systems into centralized and scalable analytics platforms (ADW), spanning both existing and new systems.
• Develop reference data architectures, including working with Central Data Office team on standards, principles, patterns and dictionary.
• Support reporting requests from Accounting.
• Support research for potential new SCRs/tickets raised by Accounting.
• Support data extractions resulting from batch automation SCR, population extracts, inventory related Ad-hoc requests (like Gross proceeds, sold assets, Cutover data etc.).
• Assist the Development / AMS team to implement the Population Queries.

3. Test and Maintenance

• Monitor and test application performance for potential bottlenecks, identify possible solutions, and work with developers to implement fixes.
• Write and maintain custom scripts to increase system efficiency and lower the human intervention time on any tasks.
• Update process documentation to keep system library up to date.
• Manage and monitor all installed systems and infrastructure. Validate system developed according to requirement by testing.

What You Will Bring

• Minimum 2-4 years of experience applying data science methods to real world business problems
• Strong SQL expertise required, with working knowledge of Oracle databases
• Experience deploying models to production, including collaboration on ML Ops practices (CI/CD pipelines, model registry, monitoring, feature stores) considered a strong plus
• Auto finance domain experience, with hands-on experience in Cassiopae preferred.
• Process modeling experience, including end to end workflow or business process modeling preferred
• Bachelor's degree and equivalent relevant work experience required.
• Master's degree in a quantitative field (e.g., Data Science, Statistics, Mathematics, Engineering, Economics) preferred
• Strong technical proficiency with the Cassiopae system, including its underlying data and database structures
• Hands-on experience using AWS data science services (e.g., Amazon SageMaker) to build, train, and deploy models
• Ability to translate model outputs into actionable business insights for technical and non technical audiences
• Experience conducting model reviews to ensure inputs, processing, and outputs align with established standards and best practices
• Advanced SQL skills, including complex joins, window functions, and performance optimized querying
• Strong interpersonal skills, with the ability to build relationships and collaborate effectively across cross functional teams
• Excellent written and verbal communication skills, including the ability to influence and negotiate with stakeholders
• Ability to clearly explain analytical results, including assumptions, limitations, uncertainty, and trade offs

Work Environment

Employees in this class are subject to extended periods of sitting, standing, and walking, vision to monitor and moderate noise levels. Work is performed in an at home and office environment.

The posted salary range for this job takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; geographic location, and other business and organizational needs. Successful candidates may be hired anywhere in the salary range based on these factors. It is uncommon to hire candidates at or near the top of the range.

California Privacy Notice

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 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.