Sr Data Scientist - Data Science & Insights
Estero, FL, United States
- Pay
$115,000/yearAnnual period assumed — pay source
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 starting salary for this role is $115,000, commensurate with experience. What You’ll Do:
Read the full posting- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingYou will work on practical, scalable data science solutions that improve operational performance, strengthen forecasting, and enhance the customer experience.
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.
From the employer’s posting
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 starting salary for this role is $115,000, 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.
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.
What you’ll bring
All qualificationsCore experience
- Strong proficiency in Python and SQL for data analysis, modeling, and automation.
- Ability to connect the dots across data sources and shape analysis into practical solutions teams can implement.
- Strong communication skills, with the ability to engage senior leaders and explain complex concepts clearly.
- 3+ years of end-to-end machine learning model development experience, from problem framing and EDA through feature engineering, tuning, and deployment.
- Ability to visualize metrics, analysis, and solutions in ways that drive understanding and action.
- Experience working with large datasets, databases, and distributed data processing tools such as PySpark.
Preferred experience
- Experience using LLMs to connect fragmented data sources, validate assumptions, and accelerate analysis is a plus.
Qualification wording
Strong proficiency in Python and SQL for data analysis, modeling, and automation.
Ability to connect the dots across data sources and shape analysis into practical solutions teams can implement.
Strong communication skills, with the ability to engage senior leaders and explain complex concepts clearly.
3+ years of end-to-end machine learning model development experience, from problem framing and EDA through feature engineering, tuning, and deployment.
Ability to visualize metrics, analysis, and solutions in ways that drive understanding and action.
Experience working with large datasets, databases, and distributed data processing tools such as PySpark.
Experience using LLMs to connect fragmented data sources, validate assumptions, and accelerate analysis is a plus.
Education & alternatives
What We’re Looking For: - Education: Master’s degree preferred; Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or a related field. - 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.
Tools in this posting
- Python
- SQL
- Databricks
- PySpark
Source — Tool mentions in context
- 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.
- 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.
Job description
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 starting salary for this role is $115,000, 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: Master’s degree preferred; Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or a related field.
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
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
Complete your application on fa-evlf-saasfaprod1.fa.ocs.oraclecloud.com. The employer’s form will show what is required.
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Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
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 starting salary for this role is $115,000, commensurate with experience. What You’ll Do:
- Location & working pattern
Estero, FL, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Oct 6, 2026
- Recorded sightings
- 19
- Last seen by us
- Oct 9, 2026
- Employer says posted
- Sep 29, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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