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Remote Time Series Forecasting Jobs in Virginia (NOW HIRING)

ManTech International

Data Analyst

Arlington, VA Β· On-site +1

$104K - $172K/yr

... Remote Time Type Full time Description & Requirements Elevate your career with MANTECH ... Experience with analytic techniques such as Anomaly detection, Clustering, and Time-series (e.g ...

Federal Reserve Bank of Richmond

Data Architect

Richmond, VA Β· On-site +1

$63 - $81.25/hr

These platforms manage massive collections of economic time-series data, historical revisions ... No * Current remote employees will not be guaranteed to keep their remote status with their ...

SAIC

Data Science, AI, Statistical Modeling

Chantilly, VA Β· On-site +1

$160K - $200K/yr

None Potential for Remote Work: ORA_ON_SITE Description ο»ΏSAIC is seeking Data Scientist with deep ... Time series or forecasting techniques * Hands-on experience with deep learning frameworks such as ...

Planet

Senior Machine Learning Engineer

Arlington, VA Β· On-site +1

$120K - $165K/yr

Planet's Analytics Team for Global Monitoring focuses on novel geospatial and time series analytics ... Practical knowledge of remote sensing, satellite imagery, or related geospatial domains * Knowledge ...

SOSi

Data Scientist II

Chantilly, VA Β· On-site +1

Working with time-series data in performing time-series analysis using Sponsor's data or data from ... Occasional remote work or telecommuting opportunities. * Potential travel for conferences, training ...

SOSi

Data Scientist II

Chantilly, VA Β· On-site +1

Working with time-series data in performing time-series analysis using Sponsor's data or data from ... Occasional remote work or telecommuting opportunities. * Potential travel for conferences, training ...

Prince William Water

PI Systems Specialist

Woodbridge, VA Β· On-site +1

$107K - $141K/yr

This position is eligible for a partial telework schedule, with a combination of on-site and remote ... The role collects, contextualizes, and delivers time-series process data from Supervisory Control ...

Varsity Tutors

Business Statistics Tutor

Norfolk, VA Β· Remote

$40/hr

... time series, index numbers, and quality control charts. Ability to explain statistical decision-making, correlation versus causation, and forecasting models while preparing students for data-driven ...

Varsity Tutors

Business Statistics Tutor

Leesburg, VA Β· Remote

$40/hr

... time series, index numbers, and quality control charts. Ability to explain statistical decision-making, correlation versus causation, and forecasting models while preparing students for data-driven ...

Varsity Tutors

Business Statistics Tutor

Alexandria, VA Β· Remote

$40/hr

... time series, index numbers, and quality control charts. Ability to explain statistical decision-making, correlation versus causation, and forecasting models while preparing students for data-driven ...

Varsity Tutors

Business Statistics Tutor

Richmond, VA Β· Remote

$40/hr

... time series, index numbers, and quality control charts. Ability to explain statistical decision-making, correlation versus causation, and forecasting models while preparing students for data-driven ...

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Remote Time Series Forecasting information

What is the difference between Remote Time Series Forecasting vs Remote Data Analyst?

AspectRemote Time Series ForecastingRemote Data Analyst
Required CredentialsStatistics, Data Science, or related certificationsStatistics, Data Analysis, or related certifications
Work EnvironmentFocus on forecasting models, predictive analytics, and time-based dataData cleaning, visualization, reporting across various data types
Industry UsageFinance, Retail, Supply Chain, and any sector relying on time-dependent dataBroadly used across industries for data interpretation and reporting

Remote Time Series Forecasting specialists focus on predicting future data points using historical time-based data, often requiring expertise in statistical modeling. Remote Data Analysts interpret and visualize data to support decision-making across various data types. While both roles involve data skills, forecasting emphasizes predictive models for time series data, whereas data analysis covers broader data interpretation tasks.

What are the most commonly searched types of Time Series Forecasting jobs in Virginia?

The most popular types of Time Series Forecasting jobs in Virginia are:

What are popular job titles related to Remote Time Series Forecasting jobs in Virginia?

For Remote Time Series Forecasting jobs in Virginia, the most frequently searched job titles are:

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The top searched job categories for Remote Time Series Forecasting jobs in Virginia are:

Remote Time Series Forecasting jobs near you
Infographic showing various Remote Time Series Forecasting job openings in Virginia as of August 2026, with employment types broken down into 43% Internship, and 57% Full Time. Highlights an 100% Remote job distribution.

Senior Computer Vision Engineer ID72408

Richmond, VA β€’ On-site, Remote

AgileEngine
Software DevelopmentΒ β€’Β 201 - 500 employees
Learn more about AgileEngineexternal

$102K - $140K/yr

Full-time

Posted 23 days ago

Key responsibilities

  • Own the applied model development process across computer vision, AI/ML, and broader data science use cases.

  • Develop and deploy solutions for object detection, image segmentation, image classification, and video analysis.

  • Evaluate, fine-tune, and analyze model architectures, and build models for forecasting and anomaly detection.

Job description

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE
We are looking for a Senior Computer Vision Engineer to own applied model development across computer vision, machine learning, and data science use cases — building and deploying solutions for object detection, image segmentation, classification, and video analysis. You will evaluate and fine-tune model architectures using PyTorch and TensorFlow, build broader ML models for forecasting and anomaly detection, and apply practical knowledge of computer vision hardware including cameras, sensors, and edge devices.

WHAT YOU WILL DO
- Own the applied model development process across computer vision, AI/ML, and broader data science use cases;
- Translate complex business problems into viable, practical, and scalable AI/ML solutions;
- Evaluate various model options, train and fine-tune selected architectures, and rigorously analyze model performance;
- Develop and deploy solutions for object detection, image segmentation, image classification, and video analysis;
- Build and maintain models for time-series forecasting, anomaly detection, regression, clustering, and general data analysis;
- Apply practical knowledge of real-world constraints—such as lighting, sensor limitations, and edge device compute power—to ensure optimal data quality and robust model performance in production.

MUST HAVES
- You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;
- 3 to 5 years of professional experience in Computer Vision, Machine Learning, Data Science, or a related field;
- Degree in Computer Science, Engineering, Data Science, Mathematics, or a related discipline (or equivalent practical experience);
- Engineers located in the US must reside in Dallas, TX, and be open to working from the office (onsite);
- Strong, production-level proficiency in Python;
- Deep hands-on experience with PyTorch and/or TensorFlow;
- Proven track record of building and deploying models for detection, segmentation, classification, and image/video analysis;
- Solid understanding of broader ML and data science techniques (time-series modeling, forecasting, anomaly detection, regression, and clustering);
- Practical experience working with computer vision hardware, including cameras, sensors, and lighting setups;
- Familiarity with deploying models on edge devices;
- Strong understanding of how physical and real-world constraints impact data quality, model training, and inference;
- Upper-intermediate English level.

PERKS AND BENEFITS
- Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
- Exciting projects: Modern solutions with Fortune 500 and top product companies.
- Flextime: Flexible schedule with remote and office options.