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Forecasting Jobs in Dallas, TX (NOW HIRING)

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Forecasting information

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$12

$35

$57

How much do forecasting jobs pay per hour?

As of Aug 4, 2026, the average hourly pay for forecasting in Dallas, TX is $35.74, according to ZipRecruiter salary data. Most workers in this role earn between $26.15 and $47.12 per hour, depending on experience, location, and employer.

What is a forecasting?

A Forecasting job involves analyzing historical data and market trends to predict future outcomes, such as sales, demand, or financial performance. Professionals in this field use statistical models, data analytics, and business insights to create accurate forecasts that help organizations make informed decisions. Forecasting roles are common in industries like finance, supply chain management, and marketing, where predicting future trends is crucial for strategic planning and resource allocation.

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

To thrive in a Forecasting role, you need strong analytical skills, proficiency in quantitative methods, and often a degree in statistics, mathematics, economics, or a related field. Experience with forecasting software, statistical tools such as R or Python, and familiarity with database management systems are typically required. Outstanding attention to detail, problem-solving abilities, and effective communication skills help you translate data-driven insights to diverse stakeholders. These competencies ensure accurate predictions, informed business decisions, and effective collaboration across teams.

Is forecasting a good career?

Forecasting is a valuable career that involves analyzing data and trends to predict future outcomes, often requiring skills in statistics, data analysis, and software tools like Excel or specialized forecasting software. It is commonly found in industries such as finance, supply chain, and economics, offering opportunities for growth and specialization. Success in this field depends on analytical ability, attention to detail, and continuous learning of industry-specific knowledge.

What are the typical responsibilities in a forecasting position?

Forecasting professionals are responsible for analyzing historical data, identifying trends, and creating models to predict future business outcomes such as sales, demand, or inventory needs. This often involves working closely with cross-functional teams like finance, operations, and marketing to gather relevant data and validate assumptions. In addition to generating regular reports and forecasts, you may be tasked with adjusting models based on new information or changes in business strategy. Collaboration and clear communication are essential, as your insights often inform key decision-making processes.

What jobs require forecasting?

Jobs that require forecasting include roles such as financial analysts, supply chain managers, market researchers, and data analysts. These positions involve predicting future trends, demand, or financial performance using statistical tools, data analysis, and industry knowledge to support decision-making.
What are popular job titles related to Forecasting jobs in Dallas, TX? For Forecasting jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Forecasting jobs in Dallas, TX look for? The top searched job categories for Forecasting jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Forecasting jobs? Cities near Dallas, TX with the most Forecasting job openings:
Forecasting jobs near you
Infographic showing various Forecasting job openings in Dallas, TX as of July 2026, with employment types broken down into 98% Full Time, 1% Part Time, and 1% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $74,314 per year, or $35.7 per hour.

Data Scientist - Demand Forecasting

Cognizant Technology Solutions

Plano, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 days ago

Cognizant rating

7.4

Company rating: 7.4 out of 10

Based on 85 frontline employees who took The Breakroom Quiz

52nd of 72 rated business consultants

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 July 26, 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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