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Data Scientist Forecasting Jobs in Washington (NOW HIRING)

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 ...

New

... Data Scientist supporting Nestle USA Digital, where you'll partner with the Supply Chain Planning team and the Analytics team to build the forecasting solutions that power how Nestle USA plans and ...

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 ...

The Data Scientist serves as a recognized subject matter expert in statistical modeling, machine ... Design and implement statistical models, predictive analytics, forecasting methods, optimization ...

Data Scientist

Springfield, VA · On-site

$116K - $210K/yr

The Data Scientist serves as a recognized subject matter expert in statistical modeling, machine ... Design and implement statistical models, predictive analytics, forecasting methods, optimization ...

The Data Scientist serves as a recognized subject matter expert in statistical modeling, machine ... Design and implement statistical models, predictive analytics, forecasting methods, optimization ...

Data Scientist

Springfield, VA · On-site

$116K - $210K/yr

The Data Scientist serves as a recognized subject matter expert in statistical modeling, machine ... Design and implement statistical models, predictive analytics, forecasting methods, optimization ...

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 ...

They are seeking a Data Scientist to transform complex immigration data into actionable ... forecasting, hypothesis testing, and machine learning techniques. • Experience with agency ...

The Senior Analyst will serve on a four-member Agile Data Science delivery team performing predictive maintenance and predictive logistics model development and forecasting work on the government ...

... forecasting; and understanding of the data analytics lifecycle (e.g., CRISP-DM) * Experience with PySpark, Unity Catalog, and Jobs in Databricks, with familiarity using platforms and tools such as ...

Data Scientist

Mclean, VA · On-site

$95 - $140/hr

We are seeking a Data Scientist as part of a bid process associated with a Statement of Work. This ... Mastery of regression, forecasting, hypothesis testing, and machine learning techniques.

They are seeking a Data Scientist to leverage advanced statistics, data analytics, machine learning ... Recommendation systems, Time-series forecasting (Prophet, NeuralProphet, Chronos, Lag-Llama, etc ...

... forecasting; and understanding of the data analytics lifecycle (e.g., CRISP-DM) * Experience with PySpark, Unity Catalog, and Jobs in Databricks, with familiarity using platforms and tools such as ...

Data Scientists at the SEI use advanced statistics, data analytics, machine learning, and ... Time-series forecasting (Prophet, NeuralProphet, Chronos, Lag-Llama, etc.) * NLP / LLMs (fine ...

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Data Scientist Forecasting information

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

To thrive as a Data Scientist Forecasting, you need a robust background in statistics, time series analysis, and predictive modeling, usually backed by a degree in a quantitative field. Expertise with programming languages like Python or R, experience with machine learning libraries, and familiarity with forecasting tools such as Prophet or ARIMA are typically expected, along with relevant certifications. Strong problem-solving abilities, communication skills, and an analytical mindset help distinguish exceptional candidates. These skills are essential to translating complex data into actionable business insights and accurate forecasts that drive organizational decision-making.

What is a data scientist forecasting?

A Data Scientist Forecasting job focuses on analyzing historical data to build predictive models that forecast future trends, demands, or outcomes. This role involves working with statistical modeling, machine learning, and time series analysis to generate actionable insights. Data Scientist Forecasters commonly work in industries like finance, retail, supply chain, and marketing to improve decision-making. Strong programming skills in Python or R, proficiency with data visualization, and knowledge of forecasting techniques are essential for this role.

What are typical daily tasks for a data scientist forecasting?

As a Data Scientist specializing in forecasting, your daily tasks often include collecting and preprocessing time series data, building and testing predictive models, and analyzing trends to improve forecast accuracy. You will collaborate with cross-functional teams, such as business analysts and product managers, to understand forecasting needs and present your findings clearly to stakeholders. Regularly, you'll also monitor model performance, experiment with new algorithms or features, and refine existing solutions based on business feedback and emerging data. This dynamic role offers a blend of independent analytical work and teamwork, making each day both challenging and rewarding.

What are the most commonly searched types of Data Scientist Forecasting jobs in Washington? The most popular types of Data Scientist Forecasting jobs in Washington are:
Infographic showing various Data Scientist Forecasting job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Sr. Data Scientist (Forecasting)

Nestle Operational Services Worldwide SA

Arlington, VA • On-site

$110K - $160K/yr

Full-time

Medical, Retirement

Posted 5 days ago


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.
Position Summary
Join Nestlé IT & Digital as a Sr. Data Scientist supporting Nestlé USA Digital, where you'll partner with the Supply Chain Planning team and the Analytics team to build the forecasting solutions that power how Nestlé USA plans and operates at scale. 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 Forecasting. You'll bring a strong AI mindset, curiosity about emerging technologies, and comfort operating in 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 and maintain structured, programmatic forecasting processes that deliver at scale, leveraging ML Ops practices to automate weekly forecast generation and reduce manual effort
  • Embed Agentic AI and GenAI capabilities into forecasting workflows to identify accuracy 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 and maintaining machine 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, cloud and 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't meet all the qualifications listed under "other"? These are preferred, but not required. 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 $160,000 per 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, skills and abilities as well as geographic location. Nestlé offers performance-based incentives and a competitive total rewards package, which includes a 401k with company match, healthcare coverage and a broad range of other benefits. Incentives and/or benefit packages may vary depending on the position. Learn more at https://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.
Review our applicant privacy notice before applying at https://www.nestlejobs.com/privacy.
Job Requisition: 413481
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.
Position Summary
Join Nestlé IT & Digital as a Sr. Data Scientist supporting Nestlé USA Digital, where you'll partner with the Supply Chain Planning team and the Analytics team to build the forecasting solutions that power how Nestlé USA plans and operates at scale. 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 Forecasting. You'll bring a strong AI mindset, curiosity about emerging technologies, and comfort operating in 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 and maintain structured, programmatic forecasting processes that deliver at scale, leveraging ML Ops practices to automate weekly forecast generation and reduce manual effort
  • Embed Agentic AI and GenAI capabilities into forecasting workflows to identify accuracy 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 and maintaining machine 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, cloud and 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't meet all the qualifications listed under "other"? These are preferred, but not required. 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 $160,000 per 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, skills and abilities as well as geographic location. Nestlé offers performance-based incentives and a competitive total rewards package, which includes a 401k with company match, healthcare coverage and a broad range of other benefits. Incentives and/or benefit packages may vary depending on the position. Learn more at https://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.
Review our applicant privacy notice before applying at https://www.nestlejobs.com/privacy.
Job Requisition: 413481