Data Science Associate

Hyundai Capital•Irvine, CA

7d•Hybrid

About The Position

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.

Requirements

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
Bachelor’s degree and equivalent relevant work experience required.
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

Nice To Haves

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
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

Responsibilities

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
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.
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.

Benefits

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:
Associate / Sr. Associate: $350
Manager / Sr. Manager: $600
Director: $800
Executive Director: $900
VP or Above: $1,000
100%25 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