Data Scientist- Marketing Mix Model (MMM)

• A Day in the

Life:

• _The Marketing Data Scientist will play a critical role in advancing Hertz's data-driven marketing strategy.

This position focuses on building and refining our Marketing Mix Model, supporting CRM data analysis, and enabling tactical and strategic Loyalty initiatives. The ideal candidate combines strong analytical skills with business acumen to deliver actionable insights that optimize marketing spend and enhance customer engagement. This position reports to the Director of Digital Growth._

• What You'll Do:

• + Combine data science with day-to-day execution, helping to solve key problems in the process, as well as providing solutions for current methods that lack critical data; work with analysts to identify the greatest areas of opportunity. + Explore data, formulate questions, and deliver insights back to business leaders to be prioritized for further testing and exploration.
• Marketing Mix Modeling (MMM):
• + Develop, validate, and refine MMM frameworks to measure channel effectiveness. + Integrate historical performance data and external factors to forecast marketing outcomes. + Collaborate with Media and Finance teams to align MMM outputs with budget planning.

• CRM Data Analysis & Refinement:

• + Support data hygiene, segmentation, and enrichment for CRM systems. + Analyze customer lifecycle metrics to inform personalized campaigns. + Partner with the CRM team to improve targeting and retention strategies.

• Loyalty Program Analytics:

• + Provide analytical support for the Hertz Gold Plus Rewards, Dollar Express, and Thrifty Blue Chip loyalty programs. + Support the evaluation of tests to measure program impact and member engagement. + Deliver insights into both short-term tactical actions and long-term strategic planning.

• Ad-Hoc Analysis & Strategic Projects:

• + Respond to urgent business questions with clear, data-backed recommendations. + Contribute to cross-functional projects involving marketing technology, attribution, and customer journey measurement.

• What We're Looking For:

• + Master's degree or equivalent required; preferably in Statistics, Marketing Analytics, Business Analytics, Mathematics, or Engineering + 2+ years of industry experience in data science or operations research + Knowledge of marketing attribution measurement or travel industry systems/data + Strong communication skills to translate complex analyses into actionable insights + Experience with time series forecasting, attribution modeling, or optimization + Strong problem-solving/analytical skills + Excellent technical skills are required, including proficiency with SQL, Python/R, Tableau, and Excel + Experience using one or more programming languages (e.

g., Python, Java, C++, C, etc.) + Experience in big data mining, analysis, and visualization

• What You'll Get:

• + Up to 40% off the base rate of 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