SQL, Python, R etc.) or statistical/optimization software (e.g. R, SAS, Gurobi, C++, etc.) required. * Experience with big data: processing, filtering, and presenting large quantities of data ...
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SQL, Python, R etc.) or statistical/optimization software (e.g. R, SAS, Gurobi, C++, etc.) required. * Experience with big data: processing, filtering, and presenting large quantities of data ...
Sas R Python Internship information
See Fort Myers, FL salary details
$7.63 - $13.50
2% of jobs
$13.50 - $19.38
0% of jobs
$19.38 - $25.25
2% of jobs
$25.25 - $31.13
0% of jobs
$31.13 - $37
6% of jobs
$37 - $42.87
2% of jobs
$46.16 is the 25th percentile. Wages below this are outliers.
$42.87 - $48.75
22% of jobs
The median wage is $50.99 / hr.
$48.75 - $54.62
40% of jobs
$54.73 is the 75th percentile. Wages above this are outliers.
$54.62 - $60.50
15% of jobs
$60.50 - $66.37
7% of jobs
$66.37 - $72.25
3% of jobs
$7
$50
$72
How much do sas r python internship jobs pay per hour?
As of Jul 30, 2026, the average hourly pay for sas r python internship in Fort Myers, FL is $50.51, according to ZipRecruiter salary data. Most workers in this role earn between $47.12 and $55.87 per hour, depending on experience, location, and employer.
What is a SAS R Python Internship?
A SAS R Python Internship is a temporary position designed for students or recent graduates to gain hands-on experience using statistical analysis and programming languages, specifically SAS, R, and Python. Interns typically work on data-driven projects, helping organizations analyze large datasets, develop predictive models, and automate data processes. This type of internship is common in industries like finance, healthcare, and tech, and is ideal for individuals interested in data science, analytics, or programming careers.
What is the difference between Sas R Python Internship vs Data Analyst Internship?
| Aspect | Sas R Python Internship | Data Analyst Internship |
|---|---|---|
| Required Skills | Knowledge of SAS, R, Python, data manipulation | Proficiency in Excel, SQL, basic statistical analysis |
| Work Environment | Data-focused, analytics teams, tech companies | Business units, consulting firms, finance |
| Industry Usage | Common in healthcare, finance, tech | Widespread across industries including marketing and finance |
Both internships involve data analysis skills, but Sas R Python Internships focus more on programming and statistical tools, while Data Analyst Internships emphasize business insights and reporting. The choice depends on whether you prefer technical programming or business-oriented analysis.
What types of projects can I expect to work on during a SAS R Python internship, and how do these projects contribute to real business outcomes?
As a SAS R Python intern, you will typically work on data analysis, data cleaning, and developing predictive models using large datasets. Projects often involve collaborating with data scientists and business analysts to extract insights that drive decision-making, such as optimizing marketing campaigns or improving operational efficiency. These assignments allow you to apply statistical methods and programming skills in practical settings, directly supporting organizational goals. Interns also gain exposure to real-world data challenges and team-based problem-solving, making it a valuable stepping stone for future analytics roles.
What are the key skills and qualifications needed to thrive as a SAS R Python Intern, and why are they important?
To thrive as a SAS R Python Intern, you need a solid understanding of statistics, data analysis, and programming fundamentals, often supported by coursework or a degree in a quantitative field. Familiarity with statistical software like SAS, R, and Python, as well as data visualization and database tools, is typically required. Strong problem-solving skills, attention to detail, and the ability to communicate technical findings clearly help interns stand out. These skills are crucial for successfully analyzing data, drawing actionable insights, and contributing effectively to data-driven projects within an organization.
$105K/yr
Full-time
Medical, Dental, Vision, Retirement, PTO
Posted 9 days ago
Hertz rating
6.2
Based on 196 frontline employees who took The Breakroom Quiz
141st of 171 rated vehicle equipment hire
Job description
Hertz Revenue Management is seeking a highly motivated, intellectually curious, and talented Sr. Data Scientist to join a team that is responsible for optimizing Hertz's revenue offers. The Sr. Data Scientist will collaborate on designing, delivering, and maintaining proprietary optimization products that result in improved customer offers and increased revenue for Hertz. The role partners across Revenue Management, Pricing, Sales, Product, Distribution, Operations Research, IT, and vendors to identify opportunities, define requirements, provide insights, prototype products, and deliver end-to-end solutions
What You’ll Do:
Identify commercial opportunities to optimize Hertz revenue that can be addressed by developing data sources, methods, tools and models, including time series forecasting, reinforcement learning, or optimization modeling
Enhance existing analytical tools and develop new solutions/tools based on large data sets
Own and deliver end-to-end solutions, including coordination with stakeholders and IT, implementation, and support
Promote the long-term customer vision that supports Hertz's business strategy as the marketplace evolves, and new products are introduced
Actively develop close relationships and coordinate with commercial business units, Operations Research, Finance, IT and senior management to ensure timely execution of Hertz Revenue Management sponsored projects
Maintain a pulse on industry efforts, disruptive technologies, and champion solutions to further Hertz's position as industry leader
Balance multiple priorities in a fast-paced environment
Understand the interrelationships between Fleet, Pricing, and Revenue Management, and the combined impact on the Hertz Customer experience
Developing the Data Analytics Team
Other duties and tasks as assigned
What We’re Looking For:
Master’s degree in operations research, statistics, computer science, or a related quantitative field required.
2-5 years of industry experience in modeling, data science or operations research required.
Highly proficient communication skills and ability to actively advocate for Hertz Revenue Management solutions across the enterprise
Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/optimization software (e.g. R, SAS, Gurobi, C++, etc.) required.
Experience with big data: processing, filtering, and presenting large quantities of data required.
Ability to understand and work with large, unstructured data sets
Proven success in solving complex quantitative problems
Must be able to work well with diverse groups in a time-sensitive team environment with minimal supervision, be results oriented and able to meet or exceed deadlines with attention to detail and follow through
Demonstrated ability to handle multiple projects through to solution delivery
Consistently prioritizes safety and security of self, others, and personal data.
Embraces diverse people, thinking, and styles.
Preferred Qualifications:
5+ years in operations research, statistics, computer science, or related science field.
Experience with time series forecasting, reinforcement learning, machine learning, or optimization.
Knowledge of revenue management theory or travel industry systems/data
The starting salary for this role is $105K; commensurate with experience.
What You’ll Get:
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