ZipRecruiter

Log In

2

Remote Scientist Jobs in Virginia (NOW HIRING)

Team Velocity

Senior Data Scientist

Herndon, VA · On-site +1

$160K - $190K/yr

This is a full-time, salaried, remote position. Candidate must reside within the Continental U.S ... Mentor junior data scientists and establish best practices. Required Qualifications * Bachelor ...

Team Velocity

Senior Data Scientist

Herndon, VA · On-site +1

$160K - $190K/yr

This is a full-time, salaried, remote position. Candidate must reside within the Continental U.S ... Mentor junior data scientists and establish best practices. Required Qualifications * Bachelor ...

Booz Allen Hamilton, Inc.

Data Scientist

Alexandria, VA · On-site +1

Remote Work: No Job Number: R0241573 Location: Alexandria,VA,US Share job via: Share Data Scientist The Opportunity: In this role, you will apply data science techniques and methods and leverage a ...

GRVTY

Imagery Scientist (EO) - Senior

Falls Church, VA · On-site +1

$160K - $190K/yr

Remote sensing phenomenology * Image formation processes * Exploitation products and methodologies ... Scientific workflows * Exploitation methodologies * Experience automating scientific processing ...

Redhorse Corporation

Data Scientist

Arlington, VA · On-site +1

Data Scientist About the Organization Now is a great time to join Redhorse Corporation. Our mission ... for remote work to be determined by the program manager and customer. Essential Functions:

Booz Allen Hamilton, Inc.

Data Scientist

Suffolk, VA · On-site +1

$77K - $176K/yr

Remote Work: Hybrid Job Number: R0245322 Location: Suffolk,VA,US Share job via: Share Data Scientist The Opportunity: Design and implement effective AI solution architecture utilizing approaches of ...

Level Up Llc

Data Scientist

Reston, VA · On-site +1

Responsibilities Using your skills as a Data Scientist , you will organize and interpret data to ... This position has an on-site requirement and is not eligible for fully remote candidates. At Level ...

AVIAN, LLC

Data Scientist

Reston, VA · On-site +1

Using your skills as a Data Scientist , you will organize and interpret data to inform U.S ... This position has an on-site requirement and is not eligible for fully remote candidates. At Level ...

NT Concepts

Data Scientist

Herndon, VA · On-site +1

As a Data Scientist, you will contribute to a program advancing state-of-the-art modeling and ... Herndon, VA with remote flexibility. Must be local to the DC Metro area. Responsibilities * Curate ...

GeoYeti

Senior SAR Imagery Scientist

Springfield, VA · Remote

$190K - $235K/yr

This role blends remote sensing science with applied data engineering and AI. What You'll Do: * Evaluate and integrate new SAR sensors and platforms into existing data workflows, including sensors ...

GeoYeti

Senior SAR Imagery Scientist

Springfield, VA · Remote

$190K - $235K/yr

This role blends remote sensing science with applied data engineering and AI. What You'll Do: * Evaluate and integrate new SAR sensors and platforms into existing data workflows, including sensors ...

GeoYeti

Senior SAR Imagery Scientist

Springfield, VA · Remote

$190K - $235K/yr

This role blends remote sensing science with applied data engineering and AI. What You'll Do: * Evaluate and integrate new SAR sensors and platforms into existing data workflows, including sensors ...

Booz Allen Hamilton, Inc.

Data Scientist

Alexandria, VA · On-site +1

$77K - $176K/yr

Remote Work: Hybrid Job Number: R0241528 Location: Alexandria,VA,US Share job via: Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets ...

previous pagenext page

Showing results 21-40

All JobsScientist JobsRemote Scientist JobsRemote Scientist Jobs in Virginia

Remote Scientist information

See Virginia salary details

$82.8K

$125.9K

$169.5K

How much do remote scientist jobs pay per year?

As of Aug 7, 2026, the average yearly pay for remote scientist in Virginia is $125,941.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,100.00 and $142,300.00 per year, depending on experience, location, and employer.

Is 40 too late to become a remote scientist?

Age is not a barrier to becoming a remote scientist, as the field values skills, experience, and education. Many scientists transition into remote roles later in their careers, often leveraging advanced degrees, research experience, and familiarity with scientific tools and software. Continuous learning and staying current with industry developments can support a successful transition at any age.

What is a remote scientist?

A Remote Scientist is a professional who conducts scientific research, analysis, and experiments while working remotely, often using digital tools and virtual collaboration platforms. They may work in various fields, including environmental science, data science, biotechnology, and engineering. Remote Scientists communicate their findings through reports, presentations, or virtual meetings with colleagues and stakeholders. This role requires strong problem-solving skills, self-discipline, and proficiency in using remote research tools.

What remote scientist jobs are there?

Remote scientist jobs include roles such as research scientists, data scientists, laboratory scientists, and environmental scientists. These positions often require specialized knowledge, relevant degrees, and skills in data analysis, laboratory techniques, or scientific research, and may involve collaboration through digital tools and virtual meetings.

What does a remote scientist do?

A typical day for a Remote Scientist often involves analyzing datasets, designing experiments or simulations, collaborating with team members via video calls or shared digital platforms, and preparing reports or presentations. Depending on their specialization, they may spend time running remote experiments, writing scientific papers, or contributing to grant proposals. While much of the work is independent, regular virtual meetings are held to ensure alignment with projects and to discuss research progress. This structure allows Remote Scientists to balance focused research time with teamwork and ongoing professional development.

What skills and qualifications are needed to thrive as a remote scientist?

To thrive as a Remote Scientist, you need a strong grounding in scientific research methods, data analysis, and a relevant advanced degree such as a Master's or Ph.D. Tools like statistical software (e.g., R, Python), laboratory management systems, and secure data-sharing platforms are frequently used, along with certifications in specialized areas if required. Exceptional written and verbal communication, self-motivation, and organizational skills are essential for effectively collaborating within remote teams and managing independent projects. These abilities ensure remote scientists maintain high research standards, deliver impactful findings, and successfully bridge the gap between virtual collaboration and tangible scientific progress.

What are the most commonly searched types of Scientist jobs in Virginia? The most popular types of Scientist jobs in Virginia are:
What are popular job titles related to Remote Scientist jobs in Virginia? For Remote Scientist jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Scientist jobs in Virginia look for? The top searched job categories for Remote Scientist jobs in Virginia are:
What cities in Virginia are hiring for Remote Scientist jobs? Cities in Virginia with the most Remote Scientist job openings:
Remote Scientist jobs near you
Infographic showing various Remote Scientist job openings in Virginia as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $125,941 per year, or $60.5 per hour.

Senior Data Scientist

Team Velocity

Herndon, VA • On-site, Remote

$160K - $190K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 8 days ago

Job description

We are seeking a Senior Data Scientist to develop machine learning models, predictive analytics, and AI-driven solutions that improve customer engagement, marketing performance, operational efficiency, and business intelligence. The role partners with Product, Data Engineering, Software Engineering, Analytics, and business stakeholders to deliver production-ready AI solutions.
This is a full-time, salaried, remote position. Candidate must reside within the Continental U.S. Eastern or Central time zones highly preferred, but all are welcome to apply who can support 8:30AM-5:30PM (EST) hours.
Key Responsibilities
  • Design, build, train, evaluate, and deploy machine learning models.
  • Develop predictive models including churn, propensity, lead scoring, customer lifetime value, recommendation engines, forecasting, and marketing attribution.
  • Perform statistical analysis, hypothesis testing, causal inference, and A/B test analysis.
  • Build feature engineering and model training pipelines.
  • Deploy and monitor production ML models, including model drift detection and retraining.
  • Collaborate with Product, Engineering, Analytics, and executive leadership.
  • Mentor junior data scientists and establish best practices.

Required Qualifications
  • Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related field, Master's or PhD preferred
  • 5+ years of experience building and deploying production ML systems, with a track record of measurable business impact
  • Strong communication and business problem-solving skills

Technical Skills
  • Expert Python and SQL
  • Machine Learning: XGBoost, LightGBM, Random Forests, Neural Networks, Deep Learning
  • Statistics: Regression, Bayesian methods, hypothesis testing, experimental design, time series, causal inference
  • Snowflake, Matillion, dbt, Pandas, Spark, Airflow
  • Cloud: Google Cloud (preferred), AWS, or Azure
  • MLOps: MLflow, Kubeflow, Vertex AI Pipelines, Feature Stores, CI/CD
  • Data quality and observability: Great Expectations, Monte Carlo, or similar frameworks
  • LLMs and AI: OpenAI, Gemini, Claude, LangChain, LangGraph, Semantic Kernel, RAG, vector databases

Preferred Experience
  • Large-scale customer data platforms
  • Marketing analytics and personalization
  • Automotive or SaaS industry experience
  • Real-time inference and streaming platforms

Success Metrics
  • Deliver production-ready ML models with measurable business impact
  • Improve prediction accuracy and operational efficiency
  • Implement model monitoring and retraining
  • Mentor team members and establish Data Science best practices
  • Contribute to team capability growth through documentation, code review standards, and mentorship outcomes that raise the overall quality of the Data Science function

COMPENSATION
Compensation commensurate on experience. Participation in company benefit offerings include medical, dental, vision, unlimited paid leave, 401(k) matching, wellness, and more. The expected salary range for this position is $160,000-$190,000 annually. The final offer will be based on several factors, including relevant experience, skills, and qualifications.
NEXT STEPS
If you meet the requirements, and are interested in applying for this role, please complete the online application, be sure to include a current resume and contact information. Local and remote candidates (living within Eastern or Central Time Zone) will be considered. No relocation assistance provided for this position. NO PHONE CALLS PLEASE.
About Team Velocity
Team Velocity is a full-service marketing agency serving the automotive industry, providing integrated marketing solutions to OEMs and dealerships nationwide. We leverage our proprietary Apollo® technology platform to predict consumer behavior, personalize marketing campaigns, and help dealerships drive more sales and service revenue.
Our team members are driven, creative, and collaborative, enjoying a unique culture where innovation and client success are paramount.
Join us in revolutionizing automotive marketing and technology through powerful, data-driven insights, continuous improvement, and an unwavering commitment to reliability.

Apply