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: $1000

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 24 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

Bachelors degree and equivalent relevant work experience required.

Masters 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 .