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Entry Level Data Scientist Forecasting Jobs (NOW HIRING)

Americanfidelity

Data Scientist

Oklahoma City, OK · Hybrid

Research and engineer analysis, forecasting, machine learning, deep learning, neural networks ... entry level Colleagues to management to senior executives. This includes the ability to speak ...

Credit Union of Texas

NY · On-site

$80 - $120/hr

The Data Scientist collects and integrates operational and market data, identifies trends and ... Forecast Variance -- absolute variance between forecast and actual on tracked financial metrics.

home24 SE

$70 - $90/hr

We are looking for a Data Scientist (m/f/d) to join our Forecasting Team, focusing on Sales Forecasting and Pricing. In this role, you will apply state-of-the-art machine learning models to solve ...

Amplify Education, Inc.

Data Scientist

$100K - $132K/yr

We seek an experienced Data Scientist to join our Supply Chain Analytics team, developing Machine Learning models to forecast demand, optimize inventory, and reduce costs across our educational ...

Revenue Analytics

Data Scientist

Atlanta, GA · On-site

$95 - $110/hr

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 ...

Ztek Consulting INC

Data Scientist

Charlotte, NC · On-site

Role Name: Data Scientist Location: Charlotte, NC / hybrid Type of hire: Contract Key ... Apply AIML algorithms for use cases such as forecasting anomaly detection NLP computer vision and ...

Jobtailor

Data Scientist

Orlando, FL · On-site

$75 - $110/hr

Develop statistical and machine learning models supporting initiatives such as demand forecasting ... Undergraduate degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or ...

THOMSON REUTERS

Data Scientist

Mclean, VA · Hybrid

TRSS Data Scientists build and deliver ML/AIenabled capabilities for mission and operational ... pattern detection, forecasting and simulation, and multi-modal data fusion while working ...

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 ...

Revenue Analytics

Data Scientist

Atlanta, GA · Remote

$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 ...

AMEND Consulting

Data Scientist

Cincinnati, OH · On-site

... forecasting, machine learning, and predictive analytics to guide decision-making. • Develop ... Analytics, Data Science, or Computer Science (or equivalent experience in industry). • Math ...

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.

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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 Aug 20, 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.

More about Entry Level Data Scientist Forecasting jobs

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Entry Level Data Scientist Forecasting jobs near you
Infographic showing various Entry Level Data Scientist Forecasting job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist

Americanfidelity

Oklahoma City, OK • Hybrid

Full-time

Posted 6 days ago

Job description

Job Description:

Work with large, complex data sets using to solve difficult, non-routine analysis problems, applying advanced analytical methods as needed to complete end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.

Engineer analysis pipelines iteratively to provide insights at scale. Develop comprehensive understanding of data structures and metrics, advocating for changes where needed in systems, products and processes.

Research and engineer analysis, forecasting, machine learning, deep learning, neural networks, artificial intelligence and optimization methods to improve the quality of products; example application areas include customer segmentation modeling and end-user behavioral modeling/prediction.

Technical Skills and Requirements:

  • Expert in multiple statistical software (e.g., R, Python, Julia, MATLAB, pandas) and associated data science libraries (scikit-learn).
  • Expert in database languages (e.g., SQL).
  • Experience creating meaningful data visualizations and/or interactive dashboards that communicate findings and business impacts using platforms such as Tableau, Qlik, Power BI, RShiny, plotly, and d3.js.
  • Applied experience with machine learning on large datasets using Big Data tools such as Apache's Hadoop or Spark
  • Expert in deep learning techniques and neural networks using languages such as as TensorFlow
  • Expert in multiple major programming language (C/C++. C#, Java, Python, etc.) or optimization modeling languages (AMPL, GAMS, AIMMS, OPL, etc.)
  • Experience with data science methods related to data architecture, data cleaning, data and feature engineering, and predictive analytics.
  • Strong background in modeling large scale discrete, nonlinear or stochastic mathematical optimization models and engineering efficient optimization algorithms.
  • Familiarity with natural language processing, machine learning, statistical modeling, predictive modeling, and hypothesis testing.
  • Familiarity working with both structured and unstructured data, including textual data.
  • Ability to work in a fast-paced environment.
  • Exceptionally strong communication skills, including written, verbal and listening which can be deployed successfully when addressing entry level Colleagues to management to senior executives. This includes the ability to speak confidently in both business and technological surroundings and appropriately transliterate between the two.
  • Exceptional analytical thinking and problem solving skills.
  • Exceptional understanding of business and business strategy.
  • Exceptional planning skills.
  • Exceptional organizational skill and ability to work autonomously.

Education:

Master's degree in related field required.

Location:

This is a hybrid position. Applicants must be located in OKC Metro area or willing to relocate.

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