Manager, Data Science Job at Hyundai Capital America
Who We Are: Through our service brands Hyundai Motor Finance, Genesis Finance*, and Kia Motors Finance, we provide financial products tailored to meet the needs of Hyundai, Genesis, and Kia dealerships nationwide, including dealer inventory and facility financing. And, through these dealerships, we provide indirect vehicle financing and leasing solutions to over 1.7 million retail customers.
Employee Value Prop and Culture: Our employees contribute every day to a culture that is fast-paced, dynamic, energized, agile, and collaborative.
From our various engagement programs to the unique design of our offices, we strive to foster a connected, fun, positive and rewarding company culture where employees feel appreciated for their contributions, proud of their company, and thrive to be passionately invested in HCA's success.
Global One Company:
Many countries. One identity. Hyundai Capital has offices across the world, including China, Canada, the United Kingdom, Germany, Russia, Brazil and Korea. Our work environments are designed with specific themes in mind to achieve a consistent global identity that reflects our values: light, collaboration, elements of nature and symmetry.
General Summary:
The Manager, Data Science, will be part of a talented team of data scientists who demonstrate superb data science competency, delivering data science models that deliver immense business value to the enterprise. Qualified candidates will have a strong background in data science and analytics.
Duties and Responsibilities:
- Leadership and Solutions Delivery Management
- Work closely with business and design; develop predictive models that meet delivery requirements.
- Manage projects effectively; possess the ability to resolve simple or complex problems with urgency and diplomacy.
- Work with internal and external auditors for model validation, legal and compliance, ensuring regulatory compliance and policies.
- Responsible for Data Science Operations for assigned area of responsibility:
- Develop the capability to build and deploy data science models substantially faster, with less cost and friction.
- Recommend infrastructure that enables HCA to scale advanced analytics, deploying and managing data science models across various business areas.
- Gather business requirements, working closely with HQ team, business users, engineers, data scientists, project team, model governance team and developers.
- Ensure data science work is done in compliance with current regulatory requirements and as additional models are deployed.
- Enable reuse of assets while tracking and controlling cloud costs.
- Provide technical direction on the design, development, testing, implementation and maintenance of data science solutions that result in performance improvements and model monitoring.
- Build and support ML operations framework.
- Test and Maintenance
- Monitor and test model performance for potential bottlenecks; identify possible solutions, and work with data scientists and engineers 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 model library up to date.
- Perform all other duties as assigned.
Knowledge and Skills:
- Experience in building and optimizing data science models
- Deep understanding of data science theoretical foundations and techniques such as regression modeling, survival analysis, sampling design, hypothesis testing, stochastic simulation, boosting, neural nets
- Ability to interpret and present model results into actionable insights
- Ability to conduct model reviews to ensure that the model inputs, processing and output conforms to best practices and standards
- Auto-finance experience and specifically, Cassiopeia product experience is a must
- Predictive modeling tool experience a plus
- Proficiency in Python
- SQL knowledge required
- Strong collaboration skills required
- Strong oral/written negotiation and communication skills
- Ability to analyze and develop Project Proposals, Current/Future Processes, Operational Business Requirements, Project Implementation, and Evaluation Documents
- Proven experience and examples leading the design of a system with multiple applications and data science models with qualitative and quantitative success.
- 10+ years relevant experience in data science, predictive modeling experience and statistics background
- 3+ years of financial industry experience is a plus
- Data science tools and experience via using tools such as Sagemaker, AWS, Informatica, AWS Glue, AWS Redshift, AWS S3, and languages such as Stored Procedures, Python, Spark, etc.
- Experience working with modeling algorithms related to classification, regression, time series, neural net etc.
- Advanced degree in Statistics, Data Science, Economics (Bachelor’s degree with extensive experience considered)
Physical Requirements and Working Condition:
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 office environment.
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.
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