Sr Data Scientist - Data Science & Insights
At a glance
Senior Data Science role at Fa Evlf Saasfaprod1. Estero · full-time · $100,000–$125,000 base.
dataroles summary, based on the employer's posting.
What you'll do
- Run models from initial problem framing and exploratory analysis through engineering features, tuning, launch, and ongoing checks
- Develop dependable analytics and models that make repeatable decisions possible across products, services, and business workflows
- Apply data science to demand forecasts, fleet allocation, vehicle turnaround, maintenance schedules, and customer satisfaction
- Turn key metrics into clear narratives for leaders, explaining what drives the results and informing business choices
- Work with product, operations, revenue management, and fleet teams to select valuable projects and test practical early solutions
What you bring
- A relevant bachelor's degree in computer science, statistics, applied mathematics, data science, or a related area
- At least five years in data science, including a record of delivering projects with meaningful results
- Strong Python and SQL skills, plus three or more years building machine learning models from problem definition through deployment
- Experience handling large datasets and databases, with distributed processing tools such as PySpark
Who this fits
This senior role suits someone who combines technical depth with business judgment and can explain complex analysis clearly to senior leaders. You’ll also mentor junior analysts while working across teams. A master’s degree and experience in rental cars, automotive, transportation, or hospitality are preferred.
From the employer
A Day in the Life:
As a Senior Data Scientist on the Data Science & Insights team, you will use data science to support business transformation by improving how decisions are made and how complex problems are solved. You will work on practical, scalable data science solutions that improve operational performance, strengthen forecasting, and enhance the customer experience. You will balance technical depth with business judgment, moving quickly from problem definition to usable solutions, collaborating across teams, and helping the organization make faster, smarter decisions.
The salary range for this role is $100,000 - $125,000, commensurate with experience.
What You’ll Do:
- Lead the end-to-end model lifecycle, from problem framing and EDA to feature engineering, model tuning, deployment, and monitoring.
- Build scalable, reliable models and analytical solutions that support repeatable decision-making across products, services, and business processes.
- Apply these solutions to improve demand forecasting, fleet planning, vehicle turnaround, maintenance planning, and customer satisfaction.
- Create leadership-ready data stories that frame key metrics, explain the “why,” and guide business decisions.
- Partner with Product, Operations, Revenue Management, and Fleet teams to identify, prioritize, and deliver high-value use cases that support revenue growth, operating expense reduction, and improved business performance.
- Support the transformation by developing practical MVPs, testing quickly, and iterating solutions that unlock business value.
- Mentor junior data analysts and contribute to a culture of learning, innovation, and quick experimentation.
- Stay current on data science methods, emerging technologies, and industry trends to continually improve team capabilities.
What We’re Looking For:
Education:
Bachelor’s degree in computer science, statistics, applied mathematics, data science majors, or related field . Master’s degree preferred.
Experience:
5+ years of experience in data science, with a proven track record of delivering impactful projects, preferably in the rental car, automotive, transportation, or hospitality industries.
Technical Skills:
Strong proficiency in Python and SQL for data analysis, modeling, and automation.
3+ years of end-to-end machine learning model development experience, from problem framing and EDA through feature engineering, tuning, and deployment.
Experience working with large datasets, databases, and distributed data processing tools such as PySpark.
Preferred hands-on experience with cloud-based data and analytics platforms such as Databricks, including building apps and dashboards.
Experience using LLMs to connect fragmented data sources, validate assumptions, and accelerate analysis is a plus.
Analytical Skills
Ability to connect the dots across data sources and shape analysis into practical solutions teams can implement
Communication:
Strong communication skills, with the ability to engage senior leaders and explain complex concepts clearly.
Ability to visualize metrics, analysis, and solutions in ways that drive understanding and action.
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
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