Staff Data Scientist - Damages

The Hertz Corporation • Saint Paul, MN • 8h ago

A Day in the Life:

At Hertz, we are at the forefront of innovation, leveraging cutting-edge technologies to build the best damage management technologies in the transportation industry. We want the brightest AI & ML minds to join our Damage Science Team to help us develop and/or maintain capabilities to:

Detect Damage via Machine Vision: Utilize computer vision techniques to accurately detect and assess damage in real-time.

Rationalize Repair Estimates and Invoices with Large Language Models (LLMs): Implement sophisticated LLMs to make intelligent repair routing decisions, ensuring repairs are conducted efficiently and cost-effectively.

Forecast Repair Needs: Develop models to predict future repair & maintenance needs based on historical data and trends.

Automate Quality Assurance: Create models to evaluate the quality of repairs and ensure they meet our high standards.

We anticipate the salary to start around 160K; commensurate with experience.

What You Will Do:

Formulate the strategic and tactical steps to carry out the model development lifecycle end-to-end (i.e. problem statement definition, exploratory data analysis, feature engineering, model development / tuning, and model implementation).

Build and maintain descriptive, predictive, and prescriptive models to measure the performance of the new products and services.

Cross validating production models to ensure high performance and generalizability

Define and implement best practices to generate accurate analytics, reports, visualizations, and dashboards to explain results simply and succinctly to technical, non-technical, and senior management

Build partnerships and work cross-functionally to identify use cases and opportunities to enhance operational efficiency and drive business value through positive impact on OKRs.

Work with an owner mentality to drive business impact even if that means supporting pipeline creation or decision support analytics.

Serve as a voice on how technological advancements in AI and machine learning may impact our business and the opportunities they may create.

Provide technical leadership to more junior Data Scientist team members.

What We are Looking For:

5-8 years hands-on experience in a data science role

5+ years of data querying languages (e.g. SQL) and scripting languages (e.g. Python)

5+ years of end-to-end machine learning model development experience (e.g. problem statement definition, exploratory data analysis, feature engineering, model development / tuning, and deployment)

Demonstrated experience using machine learning to drive a business impact

Strong experience with statistical analysis, statistical modeling, and machine learning techniques

Experience mentoring and supporting development of more junior scientists

Experience in a ML or data scientist role with a technology company

Master's degree in a quantitative field such as statistics, mathematics, data science, economics, or computer science

Preferred PhD in a quantitative field such as statistics, mathematics, data science, economics, or computer science

What You'll Get:

Up to 40% off any standard Hertz Rental??

Paid Time Off

Medical, Dental & Vision plan options

Retirement programs, including 401(k) employer matching

Paid Parental Leave & Adoption Assistance

Employee Assistance Program for employees & family

Educational Reimbursement & Discounts

Voluntary Insurance Programs - Pet, Legal/Identity Theft, Critical Illness

Perks & Discounts -Theme Park Tickets, Gym Discounts & more

The Hertz Corporation operates the Hertz, Dollar Car Rental, Thrifty Car Rental brands in approximately 9,700 corporate and franchisee locations throughout North America, Europe, The Caribbean, Latin America, Africa, the Middle East, Asia, Australia and New Zealand. The Hertz Corporation is one of the largest worldwide airport general use vehicle rental companies, and the Hertz brand is one of the most recognized in the world.

US EEO STATEMENT

At Hertz, we champion and celebrate a culture of diversity and inclusion. We take affirmative steps to promote employment and advancement opportunities. The endless variety of perspectives, experiences, skills and talents that our employees invest in their work every day represent a significant part of our culture - and our success and reputation as a company.

Individuals are encouraged to apply for positions because of the characteristics that make them unique.

EOE, including disability/veteran

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