1

Data Scientist Forecasting Jobs in Georgia (NOW HIRING)

The Sr. Data Scientist will collaborate on designing, delivering, and maintaining proprietary ... Experience with time series forecasting, reinforcement learning, machine learning, or optimization.

The Sr. Data Scientist will collaborate on designing, delivering, and maintaining proprietary ... Experience with time series forecasting, reinforcement learning, machine learning, or optimization.

They are seeking an experienced Data Scientist & Analyst to provide analytical expertise, develop ... forecast costs and support resource allocation decisions. • Leverage advanced analytics and ...

Lead Data Scientist

Thomasville, GA · On-site

$144K - $198K/yr

The lead data scientist will build data, analytics, and AI solutions to support SIOP (Sales ... Supply chain analytics knowledge such as demand forecasting, demand sensing, inventory management ...

The lead data scientist will build data, analytics, and AI solutions to support SIOP (Sales ... Supply chain analytics knowledge such as demand forecasting, demand sensing, inventory management ...

About the Role This Data Scientist for League Insights supports the Senior Director, League ... team analysis, and competitive forecasting * Develop frameworks that help OTE identify ...

As Lead Data Scientist for Stord Labs, you will build digital twins, develop predictive and ... Develop models for forecasting, labor planning, inventory optimization, task prioritization, and ...

As Lead Data Scientist for Stord Labs, you will build digital twins, develop predictive and ... Develop models for forecasting, labor planning, inventory optimization, task prioritization, and ...

Showing results 41-60

Data Scientist Forecasting information

See Georgia salary details

$31.7K

$103.6K

$165.9K

How much do data scientist forecasting jobs pay per year?

As of Sep 2, 2026, the average yearly pay for data scientist forecasting in Georgia is $103,638.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,200.00 and $114,800.00 per year, depending on experience, location, and employer.

What is a data scientist forecasting?

A Data Scientist Forecasting job focuses on analyzing historical data to build predictive models that forecast future trends, demands, or outcomes. This role involves working with statistical modeling, machine learning, and time series analysis to generate actionable insights. Data Scientist Forecasters commonly work in industries like finance, retail, supply chain, and marketing to improve decision-making. Strong programming skills in Python or R, proficiency with data visualization, and knowledge of forecasting techniques are essential for this role.

What are typical daily tasks for a data scientist forecasting?

As a Data Scientist specializing in forecasting, your daily tasks often include collecting and preprocessing time series data, building and testing predictive models, and analyzing trends to improve forecast accuracy. You will collaborate with cross-functional teams, such as business analysts and product managers, to understand forecasting needs and present your findings clearly to stakeholders. Regularly, you'll also monitor model performance, experiment with new algorithms or features, and refine existing solutions based on business feedback and emerging data. This dynamic role offers a blend of independent analytical work and teamwork, making each day both challenging and rewarding.

What are the key skills and qualifications needed to thrive in the data scientist forecasting position, and why are they important?

To thrive as a Data Scientist Forecasting, you need a robust background in statistics, time series analysis, and predictive modeling, usually backed by a degree in a quantitative field. Expertise with programming languages like Python or R, experience with machine learning libraries, and familiarity with forecasting tools such as Prophet or ARIMA are typically expected, along with relevant certifications. Strong problem-solving abilities, communication skills, and an analytical mindset help distinguish exceptional candidates. These skills are essential to translating complex data into actionable business insights and accurate forecasts that drive organizational decision-making.

What are the most commonly searched types of Data Scientist Forecasting jobs in Georgia?

The most popular types of Data Scientist Forecasting jobs in Georgia are:

What are popular job titles related to Data Scientist Forecasting jobs in Georgia?

For Data Scientist Forecasting jobs in Georgia, the most frequently searched job titles are:

Infographic showing various Data Scientist Forecasting job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $103,638 per year, or $49.8 per hour.

Sr Data Scientist - Commercial

Hertz

Atlanta, GA • On-site

$105K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 29 days ago


Hertz rating

6.3

Company rating: 6.3 out of 10

Based on 197 frontline employees who took The Breakroom Quiz

141st of 177 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

About Us
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

What Hertz employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom