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Entry Level Data Scientist Forecasting Jobs (NOW HIRING)

Revenue Analytics

Data Scientist

Atlanta, GA

$95K - $110K/yr

Data Scientist Revenue Analytics is a SaaS company that helps companies make better revenue ... Build machine learning and AI solutions that support pricing, forecasting, and revenue management ...

Revenue Analytics

Data Scientist

Atlanta, GA · On-site +1

$95K - $110K/yr

Data Scientist Revenue Analytics is a SaaS company that helps companies make better revenue ... Build machine learning and AI solutions that support pricing, forecasting, and revenue management ...

Tao Digital Solutions, Inc.

Data Scientist

Nashville, TN · On-site

$60K/yr

Predictive Modeling & Forecasting * * Support senior data scientists in building and validating statistical and machine learning models to forecast revenue trends, customer churn, or financial health.

Corning

Data Scientist

Charlotte, NC · On-site

This role reports directly to the Director of Forecasting & Analytics within the Business Intelligence organization. Key Responsibilities * Develop and deliver applied data science solutions for ...

RightsHelper

Data Scientist

$95K - $110K/yr

... forecasting, or marketing applications in a fast-paced, enterprise environment. Our platform ... Collaborate with other Data Science team members to push root-level improvements across demand ...

Thomson Reuters

Data Scientist

Mclean, VA · On-site

Data Scientists supporting these efforts work at the intersection of data science, applied research ... pattern detection, forecasting and simulation, and multi-modal data fusion while working ...

Green Thumb

Data Scientist

Chicago, IL · On-site

Responsibilities ML Forecasting * Build, validate, and refine demand forecasting models for GTI ... data gaps worth closing, and model architectures worth exploring Analytics Science * Design ...

Corning

Data Scientist

Charlotte, NC · On-site

This role reports directly to the Director of Forecasting & Analytics within the Business Intelligence organization. Key Responsibilities * Develop and deliver applied data science solutions for ...

Corning

Data Scientist

Charlotte, NC · On-site

This role reports directly to the Director of Forecasting & Analytics within the Business Intelligence organization. Key Responsibilities * Develop and deliver applied data science solutions for ...

Green Thumb

Data Scientist

Chicago, IL · Hybrid

Responsibilities ML Forecasting * Build, validate, and refine demand forecasting models for GTI ... data gaps worth closing, and model architectures worth exploring Analytics Science * Design ...

Clarity Innovations

Data Scientist

Hurlburt Field, FL · On-site

Role This role is for a Data Scientist on a close-knit team supporting Air Force Special Operations ... forecasting methods, and other advanced statistical techniques. Design and automate processes to ...

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All JobsData Scientist Forecasting JobsEntry Level Data Scientist Forecasting Jobs

Entry Level Data Scientist Forecasting information

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$37.5K

$122.7K

$196.5K

How much do entry level data scientist forecasting jobs pay per year?

As of Jul 11, 2026, the average yearly pay for entry level data scientist forecasting in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Data Scientist Forecasting vs Entry Level Data Analyst?

AspectEntry Level Data Scientist ForecastingEntry Level Data Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related field; familiarity with forecasting modelsBachelor's in Business, Economics, or related field; proficiency in data visualization and basic analysis
Work EnvironmentData-driven teams, often in tech, finance, or retail industriesBusiness units, marketing, finance departments across various industries
Employer & Industry UsageUsed for predictive modeling and forecasting sales, demand, or trendsUsed for reporting, data interpretation, and supporting decision-making

While both roles involve working with data, Entry Level Data Scientist Forecasting focuses on building models to predict future trends, requiring knowledge of statistical and machine learning techniques. Entry Level Data Analyst primarily interprets existing data to generate reports and insights. The forecasting role is more technical and predictive, whereas the analyst role emphasizes descriptive analysis and visualization.

What cities are hiring for Entry Level Data Scientist Forecasting jobs? Cities with the most Entry Level Data Scientist Forecasting job openings:
What are the most commonly searched types of Data Scientist Forecasting jobs? The most popular types of Data Scientist Forecasting jobs are:
What states have the most Entry Level Data Scientist Forecasting jobs? States with the most job openings for Entry Level Data Scientist Forecasting jobs include:
What job categories do people searching Entry Level Data Scientist Forecasting jobs look for? The top searched job categories for Entry Level Data Scientist Forecasting jobs are:
Entry Level Data Scientist Forecasting jobs near you
Infographic showing various Entry Level Data Scientist Forecasting job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Data Scientist

Data Scientist

Revenue Analytics

Atlanta, GA

$95K - $110K/yr

Full-time

Re-posted 17 days ago

Job description

Data Scientist

Revenue Analytics is a SaaS company that helps companies make better revenue decisions in pricing, products, and promotions. Our analytics solutions drive measurable revenue uplift and help customers move faster with more confidence.

Founded in 2005, we combine deep expertise in pricing and revenue management with modern software, machine learning, and AI to power complex commercial decisions. In Hospitality, we are building products that help redefine what modern revenue management looks like - turning advanced analytics into practical product capability for hotel operators navigating pricing, demand, and competitive complexity.

This Data Scientist position represents a unique opportunity to join a growth-stage company that is investing aggressively in the future of hospitality revenue management. We are looking for someone excited by that opportunity and motivated to help build real product capability, not just one-off analysis.

As a Data Scientist, you will help build machine learning and AI systems that power our hospitality analytics platform. You will work on revenue management and pricing problems in a complex, fast-moving domain, partnering closely with product, science, and engineering to turn ambiguous questions into rigorous analytical solutions. Your work will directly influence product direction and help hospitality customers make better, faster, more data-driven decisions.

What You Will Do:
  • Build machine learning and AI solutions that support pricing, forecasting, and revenue management decisions in hospitality.
  • Analyze large, sometimes messy datasets to identify patterns, risks, and opportunities, and turn them into practical recommendations or product capability.
  • Write clean Python and SQL, working with data pipelines and analytical workflows to prepare, validate, and operationalize data.
  • Apply modern AI techniques, including LLMs and AI coding tools such as Claude Code, thoughtfully to accelerate prototyping, learning, and development while maintaining technical quality.
  • Partner closely with product, engineering, and cross-functional stakeholders to translate business problems into analytical solutions and communicate insights clearly.
What You Will Bring:
  • 0-2 years of experience in data science, analytics, machine learning, or a related field, including internships, research, senior projects, or meaningful independent projects.
  • Bachelor's or Master's degree in statistics, mathematics, operations research, computer science, engineering, or another quantitative field.
  • Hands-on coding experience in Python, working knowledge of SQL, and familiarity with modern data analysis and machine learning workflows.
  • Ability to structure ambiguous problems, choose sensible analytical approaches, and explain trade-offs, limitations, and recommendations clearly.
  • Strong curiosity, ownership, and learning agility, with interest in hospitality, travel, pricing, forecasting, or other business problems where analytics can directly influence outcomes.
Preferred Qualifications:
  • Experience with revenue management, pricing, forecasting, segmentation, or related analytical problem spaces.
  • Experience building something reusable or scalable, such as a data pipeline, internal tool, model workflow, or decision-support analysis.
  • Familiarity with cloud platforms, business intelligence tools, or modern AI tooling in technical workflows.
 
$95,000 - $110,000 a year
Who We Are
A pioneer of Revenue Management, Revenue Analytics is an enterprise SaaS company that partners with hospitality, media, and transportation companies to solve their most complex pricing challenges. By leveraging powerful analytics and deep strategic experience, Revenue Analytics' next-generation software delivers intuitive answers to help companies perfect their pricing, reclaim missed revenue, and take back their time. To learn more about how Revenue Analytics is recreating Revenue Management, visit revenueanalytics.com or follow us on Twitter and LinkedIn.
 
Visa sponsorship is not available for this role.  Revenue Analytics embraces diversity and is an equal opportunity employer. We are committed to building a Team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be.
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