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dataroles

Sr Data Scientist - Commercial

Fa Evlf Saasfaprod1 Open · verified Oct 24, 2026
GA, United States Full-time Senior Data Science

At a glance

Senior Data Science role at Fa Evlf Saasfaprod1. GA, United States · full-time · $100,000–$150,000 base.

SalaryStated by Fa Evlf Saasfaprod1
$100,000 – $150,000
Base salary for this role, in USD per year, as published in the posting.
RoleData Science
SenioritySenior
LocationGA, United States
EmploymentFull-time
Base pay$100,000–$150,000
PostedOct 22, 2026 · 2d ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Find revenue opportunities that data sources, forecasting, reinforcement learning or optimization models could address
  • Improve current analytical tools and build new solutions using large data sets
  • Carry solutions from stakeholder planning through IT implementation and ongoing support
  • Coordinate Revenue Management projects with commercial teams, Operations Research, Finance, IT and senior leaders
  • Track emerging technologies and connect fleet, pricing and revenue decisions to the customer experience

What you bring

  • A bachelor’s degree in computer science, statistics, applied mathematics, data science or a related field
  • Two to five years working in modeling, data science or operations research
  • Hands-on experience with scripting or statistical and optimization software, plus processing and presenting large data sets
  • Strong quantitative problem-solving, communication and project delivery skills, including work with unstructured data

Who this fits

This role suits a senior-level data scientist comfortable delivering quantitative solutions with limited supervision and coordinating across business and technical teams. You’ll need to manage several projects and meet deadlines in a time-sensitive environment.

From the employer

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:

  • Bachelor’s degree in computer science, statistics, applied mathematics, data science majors, or related field . Master’s degree preferred

  • 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 salary for this role is $100,000- $150,000; commensurate with experience.

What You’ll Get:

  • 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

Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Science$100k+

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.