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Forecasting Analyst Data Scientist Jobs (NOW HIRING)

... analytic needs Requirements: * Bachelors or Masters in a quantitative field (such as Engineering, Statistics, Math, Economics, or Computer Science with Modeling/Data Science), preferably with work ...

The Sales Forecasting Analyst will play a key role in identifying sales trends and providing ... Bachelor's degree in Business, Data Science/Analytics, Economics, Statistics, or a related field ...

They will also introduce quantitative and qualitative analysis, data analytics, and data science to ... Create simulations and predictive models to forecast future outcomes * Optimize resource allocation ...

Perform statistical analysis and trend forecasting on historical data * Develop machine learning ... Education: Ph.D. in Data Science, Statistics, Mathematics, Computer Science, or related ...

Perform statistical analysis and trend forecasting on historical data * Develop machine learning ... Education: Ph.D. in Data Science, Statistics, Mathematics, Computer Science, or related ...

As a Data Analyst / Data Scientist, your duties will include the following, but are not limited to: * Design, develop, and maintain automated data ingestion, staging, transformation, and processing ...

NY · On-site

The Data Scientist collects and integrates operational and market data, identifies trends and variances against forecast, designs and validates models, and operationalizes analytics in partnership ...

Mid-Level Data Scientist Location: Vienna, VA Type: Contract Compensation: Hybrid - onsite and ... prophet forecasting. * Analyze and interpret results with some complexity. * Exercise limited ...

Mid-Level Data Scientist Location: Vienna, VA Type: Contract Compensation: Hybrid - onsite and ... prophet forecasting. * Analyze and interpret results with some complexity. * Exercise limited ...

Mid-Level Data Scientist Location: Vienna, VA Type: Contract Compensation: Hybrid - onsite and ... prophet forecasting. * Analyze and interpret results with some complexity. * Exercise limited ...

The Data Scientist will develop advanced analytical models, artificial intelligence (AI ... Design and develop predictive analytics, forecasting models, classification algorithms, and ...

The Data Scientist will develop advanced analytical models, artificial intelligence (AI ... Design and develop predictive analytics, forecasting models, classification algorithms, and ...

Data Scientist

Atlanta, GA · On-site

$95K - $110K/yr

Data Scientist Revenue Analytics is a SaaS company that helps companies make better revenue ... Experience with revenue management, pricing, forecasting, segmentation, or related analytical ...

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Forecasting Analyst Data Scientist information

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$34K

$82.6K

$136K

How much do forecasting analyst data scientist jobs pay per year?

As of Sep 13, 2026, the average yearly pay for forecasting analyst data scientist in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

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

AspectForecasting Analyst Data ScientistData Analyst
Required CredentialsBachelor's or master's in statistics, data science, or related fields; often certifications in analytics or data scienceBachelor's degree in statistics, mathematics, or related fields; certifications are optional
Work EnvironmentFinancial, retail, or supply chain industries focusing on predictive modeling and forecastingVarious industries analyzing data trends, creating reports, and supporting decision-making
Employer & Industry UsageUsed in industries requiring forecasting and predictive analyticsWidely used across industries for data reporting and analysis

Forecasting Analyst Data Scientist focuses on predictive modeling and forecasting using advanced analytics, while Data Analysts primarily interpret existing data to generate reports. Both roles require strong analytical skills, but the Data Scientist often employs more complex algorithms and machine learning techniques.

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

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

Infographic showing various Forecasting Analyst Data Scientist 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 $82,640 per year, or $39.7 per hour.

Data Scientist - Demand Forecasting

Plano, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 days ago


Key responsibilities

  • Develop, enhance, and deploy demand forecasting models to support business planning and decision-making.

  • Support quarterly forecasting cycles through model validation, business reviews, and stakeholder engagement.

  • Build scalable data science solutions using Python, PySpark, Databricks, and cloud-based technologies while maintaining efficient data pipelines and documentation.


Cognizant rating

7.0

Company rating: 7.0 out of 10

Based on 87 frontline employees who took The Breakroom Quiz


Job description

About the role
As a Data Scientist - Demand Forecasting, you will make an impact by developing, optimizing, and operationalizing advanced forecasting models that support strategic business planning across North America. You will be a valued member of the Data Science team and work collaboratively with business stakeholders, data engineers, analytics teams, and technology partners to drive forecast accuracy and actionable insights
Must have 12 + years of experience to be considered
In this role, you will:
  • Develop, enhance, and deploy demand forecasting models to support business planning and decision-making.
  • Improve forecast accuracy, reduce bias, and drive consistency across multiple markets and business segments.
  • Support quarterly forecasting cycles through model validation, business reviews, and stakeholder engagement.
  • Perform model experimentation, testing, monitoring, and ongoing performance optimization.
  • Build scalable data science solutions using Python, PySpark, Databricks, and cloud-based technologies while maintaining efficient data pipelines and documentation.

Work model
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a hybrid position requiring 2-3 days per week in a client or Cognizant office in Plano, Texas. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
What you need to have to be considered
  • Proven experience developing and deploying production-grade Data Science and Machine Learning solutions.
  • Strong hands-on experience with Databricks, including PySpark, SQL, and Delta Lake.
  • Advanced proficiency in Python for data science, analytics, and integration with APIs and external services.
  • Experience building and orchestrating data pipelines using Azure Data Factory (ADF).
  • Strong understanding of cloud-based data platforms, preferably within the Microsoft Azure ecosystem.
  • Experience working with large-scale datasets and distributed data processing frameworks.
  • Knowledge of CI/CD practices for Databricks deployments and releases.
  • Experience with Azure DevOps and/or GitHub Actions for automation and deployment workflows.
  • Strong analytical, problem-solving, and independent decision-making capabilities.
  • Excellent communication skills with the ability to engage effectively with both technical and business stakeholders.

These will help you stand out
  • Experience supporting demand forecasting, supply chain planning, or sales forecasting initiatives.
  • Knowledge of scenario modeling, hierarchy reconciliation, and long-range forecasting methodologies.
  • Experience monitoring model performance and implementing continuous model improvement strategies.
  • Familiarity with MLOps best practices and model operationalization in enterprise environments.
  • Ability to translate complex technical concepts into business-friendly insights and recommendations.

We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.
*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*
Salary and Other Compensation:
Applications will be accepted until September 13, 2026
The annual salary for this position is between $ 115,000 - $ 130,000 depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
  • Medical/Dental/Vision/Life Insurance
  • Paid holidays plus Paid Time Off
  • 401(k) plan and contributions
  • Long-term/Short-term Disability
  • Paid Parental Leave
  • Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization's unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.

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