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Forecasting Jobs in Virginia (NOW HIRING)

You'll design and deploy production-grade forecasting models, embed AI into how forecasts get delivered, and serve as a key liaison between the technical and functional sides of Enterprise ...

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Forecasting information

See Virginia salary details

$12

$35

$57

How much do forecasting jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for forecasting in Virginia is $35.79, according to ZipRecruiter salary data. Most workers in this role earn between $26.20 and $47.21 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 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 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 jobs require forecasting?

Jobs that require forecasting include roles such as financial analysts, supply chain managers, sales planners, and market researchers. These positions involve predicting future trends, demand, or financial performance using data analysis, statistical tools, and industry knowledge to support strategic decision-making.
Infographic showing various Forecasting job openings in Virginia as of August 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Contract. Highlights an 82% Physical, 6% Hybrid, and 12% Remote job distribution, with an average salary of $74,447 per year, or $35.8 per hour.

Sr. Data Scientist (Forecasting)

Arlington, VA • On-site

$110K - $160K/yr

Other

Retirement

Re-posted 7 days ago


Key responsibilities

  • Design, develop, test, and deploy statistical and machine learning forecasting models in production on cloud-based analytics platforms.

  • Build and maintain structured, programmatic forecasting processes that deliver at scale, leveraging ML Ops practices to automate weekly forecast generation.

  • Serve as a liaison between technical and functional teams, partnering with Supply Chain Planning leads and cross-functional stakeholders to align business needs with system and process solutions.


Job description

As the digital arm for the world's largest food and beverage company, Nestlé IT & Digital Americas harnesses the power of data, analytics, and innovative technology to deliver transformative solutions and business resiliency for Nestlé businesses and iconic brands from Purina® to Nescafé®.We’re innovators, strategic collaborators, value multipliers, and digital business leaders committed to delivering results that create meaningful experiences and drive value, enabling Nestlé to win in the marketplace. By joining, you become part of a 150-year legacy and a global team of 270,000+. We invest in our people—their growth, development, and sense of belonging. This shared unity and purpose is what motivates individuals to join, stay, and advance their careers within Nestlé.

This position is not eligible for Visa Sponsorship.

Join Nestlé IT & Digital as a Sr. Data Scientist supporting Nestlé USA Digital, whereyou'llpartner with the Supply Chain Planning team and the Analytics team to build the forecasting solutions that power how Nestlé USA plans andoperatesat scale.You'lldesign and deploy production-grade forecasting models, embed AI into how forecasts get delivered, and serve as a key liaison between the technical and functional sides of Enterprise Forecasting.You'llbring a strong AI mindset, curiosity about emerging technologies, and comfortoperatingin ambiguity as the forecasting landscape evolves.

  • Design, develop, test, and deploy statistical and machine learning forecasting models in production on cloud-based analytics platforms, with a focus on demand pattern recognition, algorithm selection, outlier correction, and parameter optimization to drive forecast accuracy and bias reduction
  • Build andmaintainstructured, programmatic forecasting processes that deliver at scale,leveragingML Ops practices to automate weekly forecast generation and reduce manual effort
  • Embed Agentic AI and GenAI capabilities into forecasting workflows toidentifyaccuracy improvement opportunities, automate root cause analysis, and support insights generation and decision-making
  • Continuously explore and apply emerging AI/ML techniques such as deep learning and probabilistic forecasting to improve forecast accuracy and scalability across a complex portfolio of SKUs, clusters, and data sources
  • Serve as a liaison between technical and functional teams, partnering with Supply Chain Planning leads and cross-functional stakeholders across Marketing, Finance, and Sales to align business needs with system and process solutions
  • Advance Enterprise Forecasting as part of the One Planning initiative and support Customer Order Fulfilment improvements, enabling standardized, scalable, and cross-functional forecasting solutions across the organization
  • Deliver training and forecast office hours to Supply Chain Planning users to build analytics literacy, promote adoption, and increase enterprise value
  • Create and enhance Power BI reports for forecast KPI monitoring and data validation, and present findings through data visualization and PowerPoint tailored to the audience

Requirements

  • Bachelor's degree in statistics, mathematics, economics, business, or a related field
  • 5+ years of experience in data science, forecasting, or advanced analytics, with hands‑on experience in SQL, Python, or a similar language
  • 5+ years of experience extracting, transforming, and analyzing large datasets, and creating data visualizations to communicate insights
  • 3+ years of experience deploying andmaintainingmachine learning models in production, including regression, classification, time series modeling, and feature engineering

Other

  • Master's degree in statistics, mathematics, economics, business, or a related discipline is preferred
  • Experience with ML Ops practices,cloudand AI/ML platforms (Databricks, Snowflake, Microsoft Azure), GenAI solutions, and Microsoft Power BI is preferred
  • Experience supporting enterprise-scale transformation or Supply Chain planning initiatives in an Agile environment is preferred

Don'tmeet all the qualifications listed under "other"? These arepreferred, butnotrequired. When you apply for a role with Nestlé, we ensure that individual confidentiality is held to the highest regard. We are intentional about creating an inclusive workplace for everyone. We consider our associates our most valuable assets. Please apply for full consideration.

The approximate pay range for this position is$110,000 to $160,000per year. Please note that the pay range provided is a good faith estimate for the position at the time of posting. Final compensation may vary based on factors including but not limited to knowledge,skillsand abilities as well as geographic location. Nestlé offers performance-based incentives and a competitive total rewards package, which includes a 401k with companymatch, healthcarecoverageand a broad range of other benefits. Incentives and/or benefit packages may vary depending on the position. Learn more athttps://nestlejobs.com/nestle-in-the-us .

It is our business imperative to remain a very inclusive workplace.
To our veterans and separated service members, you're at the forefront of our minds as we recruit top talent to join Nestlé. The skills you've gained while serving our country, such as flexibility, agility, and leadership, are much like the skills that will make you successful in this role. In addition, with our commitment to an inclusive work environment, we recognize the exceptional engagement and innovation displayed by individuals with disabilities. Nestlé seeks such skilled and qualified individuals to share our mission where you’ll join a cohort of others who have chosen to call Nestlé home.

The Nestlé Companies are equal employment opportunity employers. All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status or any other characteristic protected by applicable law. Prior to the next step in the recruiting process, we welcome you to inform us confidentially if you may require any special accommodations in order to participate fully in our recruitment experience. Contact us at accommodations@nestle.com or please dial 711 and provide this number to the operator: 1-800-321-6467.

This position is not eligible for Visa Sponsorship.

As the digital arm for the world's largest food and beverage company, Nestlé IT & Digital Americas harnesses the power of data, analytics, and innovative technology to deliver transformative solutions and business resiliency for Nestlé businesses and iconic brands from Purina® to Nescafé®.We’re innovators, strategic collaborators, value multipliers, and digital business leaders committed to delivering results that create meaningful experiences and drive value, enabling Nestlé to win in the marketplace. By joining, you become part of a 150-year legacy and a global team of 270,000+. We invest in our people—their growth, development, and sense of belonging. This shared unity and purpose is what motivates individuals to join, stay, and advance their careers within Nestlé.

This position is not eligible for Visa Sponsorship.

Join Nestlé IT & Digital as a Sr. Data Scientist supporting Nestlé USA Digital, whereyou'llpartner with the Supply Chain Planning team and the Analytics team to build the forecasting solutions that power how Nestlé USA plans andoperatesat scale.You'lldesign and deploy production-grade forecasting models, embed AI into how forecasts get delivered, and serve as a key liaison between the technical and functional sides of Enterprise Forecasting.You'llbring a strong AI mindset, curiosity about emerging technologies, and comfortoperatingin ambiguity as the forecasting landscape evolves.

  • Design, develop, test, and deploy statistical and machine learning forecasting models in production on cloud-based analytics platforms, with a focus on demand pattern recognition, algorithm selection, outlier correction, and parameter optimization to drive forecast accuracy and bias reduction
  • Build andmaintainstructured, programmatic forecasting processes that deliver at scale,leveragingML Ops practices to automate weekly forecast generation and reduce manual effort
  • Embed Agentic AI and GenAI capabilities into forecasting workflows toidentifyaccuracy improvement opportunities, automate root cause analysis, and support insights generation and decision-making
  • Continuously explore and apply emerging AI/ML techniques such as deep learning and probabilistic forecasting to improve forecast accuracy and scalability across a complex portfolio of SKUs, clusters, and data sources
  • Serve as a liaison between technical and functional teams, partnering with Supply Chain Planning leads and cross-functional stakeholders across Marketing, Finance, and Sales to align business needs with system and process solutions
  • Advance Enterprise Forecasting as part of the One Planning initiative and support Customer Order Fulfilment improvements, enabling standardized, scalable, and cross-functional forecasting solutions across the organization
  • Deliver training and forecast office hours to Supply Chain Planning users to build analytics literacy, promote adoption, and increase enterprise value
  • Create and enhance Power BI reports for forecast KPI monitoring and data validation, and present findings through data visualization and PowerPoint tailored to the audience

Requirements

  • Bachelor's degree in statistics, mathematics, economics, business, or a related field
  • 5+ years of experience in data science, forecasting, or advanced analytics, with hands‑on experience in SQL, Python, or a similar language
  • 5+ years of experience extracting, transforming, and analyzing large datasets, and creating data visualizations to communicate insights
  • 3+ years of experience deploying andmaintainingmachine learning models in production, including regression, classification, time series modeling, and feature engineering

Other

  • Master's degree in statistics, mathematics, economics, business, or a related discipline is preferred
  • Experience with ML Ops practices,cloudand AI/ML platforms (Databricks, Snowflake, Microsoft Azure), GenAI solutions, and Microsoft Power BI is preferred
  • Experience supporting enterprise-scale transformation or Supply Chain planning initiatives in an Agile environment is preferred

Don'tmeet all the qualifications listed under "other"? These arepreferred, butnotrequired. When you apply for a role with Nestlé, we ensure that individual confidentiality is held to the highest regard. We are intentional about creating an inclusive workplace for everyone. We consider our associates our most valuable assets. Please apply for full consideration.

The approximate pay range for this position is$110,000 to $160,000per year. Please note that the pay range provided is a good faith estimate for the position at the time of posting. Final compensation may vary based on factors including but not limited to knowledge,skillsand abilities as well as geographic location. Nestlé offers performance-based incentives and a competitive total rewards package, which includes a 401k with companymatch, healthcarecoverageand a broad range of other benefits. Incentives and/or benefit packages may vary depending on the position. Learn more athttps://nestlejobs.com/nestle-in-the-us .

It is our business imperative to remain a very inclusive workplace.
To our veterans and separated service members, you're at the forefront of our minds as we recruit top talent to join Nestlé. The skills you've gained while serving our country, such as flexibility, agility, and leadership, are much like the skills that will make you successful in this role. In addition, with our commitment to an inclusive work environment, we recognize the exceptional engagement and innovation displayed by individuals with disabilities. Nestlé seeks such skilled and qualified individuals to share our mission where you’ll join a cohort of others who have chosen to call Nestlé home.

The Nestlé Companies are equal employment opportunity employers. All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status or any other characteristic protected by applicable law. Prior to the next step in the recruiting process, we welcome you to inform us confidentially if you may require any special accommodations in order to participate fully in our recruitment experience. Contact us at accommodations@nestle.com or please dial 711 and provide this number to the operator: 1-800-321-6467.

This position is not eligible for Visa Sponsorship.


Nearest Major Market: Arlington Virginia
Nearest Secondary Market: Washington DC

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