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Overnight Environmental Data Scientist Jobs (NOW HIRING)

VTG

Data Scientist with Security Clearance

Chantilly, VA · On-site

$105K - $215K/yr

... delivery environments Data Scientist III * Bachelor's degree in Data Science, Statistics ... Mathematics, Computer Science, or related field * 10+ years of experience in data analytics or data ...

TRC Companies, Inc.

Environmental Scientist

Richmond, VA · On-site

$55K - $65K/yr

Collect environmental data in accordance with project work plans and regulatory requirements ... Travel to project sites as required, including occasional overnight travel. Office Responsibilities

tra

Environmental Scientist I

Arlington, TX · On-site

$66K - $87K/yr

ADVANCEMENT OPPORTUNITIES Environmental Scientist, Senior Environmental Scientist III Environmental ... overnight stays. TOOLS AND EQUIPMENT USED All manner of field equipment including data sounds ...

US004 Edelman Data & Intelligence

Data Scientist

Chicago, IL · On-site

$139.82 - $144.82/hr

Cloud environments including: AWS, Azure, and GCP Data Lake architecture. * GitHub and GitLab. * Jira, Asana, and Confluence Ref Job Title: Data Scientist $139,818.00 - $144,818.00 per year Ability ...

New

Smart Data

Data Scientist III

Chantilly, VA

$135K - $180K/yr

... environments - Aid in the design and implementation of machine learning and data engineering ... data science challenges - Collaborate in a multi-disciplinary environment while working ...

Encamp

Environmental Data Manager

$90K - $100K/yr

About the role As an Environmental Data Manager at Encamp, you will be responsible for taming our ... Bachelor's Degree in Environmental Science, Environmental Engineering, or related Science degree ...

Applied Information Sciences

Data Scientist

Alexandria, VA · On-site

$116K - $174K/yr

You'll work on projects that matter, alongside industry-leading experts, in an environment that ... The Data Scientist will help develop and deploy AI models from ideation to production. Required For ...

Earth Systems LLC

Environmental Scientist I

Bismarck, ND · On-site

$50K - $60K/yr

You will be responsible for collecting, analyzing, and interpreting environmental data to assess ... Bachelor's degree in Environmental Science, Biology, Chemistry, Geology, or a related scientific ...

Applied Information Sciences

Data Scientist

Alexandria, VA · On-site

$116K - $174K/yr

You'll work on projects that matter, alongside industry-leading experts, in an environment that ... The Data Scientist will help develop and deploy AI models from ideation to production. Required For ...

Earth Systems LLC

Environmental Scientist I

Bismarck, ND · On-site

$50K - $60K/yr

You will be responsible for collecting, analyzing, and interpreting environmental data to assess ... Bachelor's degree in Environmental Science, Biology, Chemistry, Geology, or a related scientific ...

On-Demand Group

Sr. Data Scientist

Minneapolis, MN · On-site

The team operates in an agile, CI/CD environment with bi-weekly releases, making collaboration ... Mentor junior and mid-level Data Scientists through technical guidance, code reviews, and ...

campus4tech

Data Scientist

Manhattan, NY · On-site

... agile environment, with a focus on rapid iteration and business impact. The Data Science Lead will drive end-to-end model development, including propensity modeling and integration with data ...

Visa

Data Scientist

Foster City, CA · On-site

$137K/yr

Experience in project management and meeting deadlines in a fast-moving environment. * Experience coaching, leading, and providing direction to a technical data science team. * Experience working in ...

LLNL

Environmental Data Specialist

Livermore, CA · On-site

$95K - $117K/yr

... advancing science and technology to strengthen U.S. security and promote global stability. Our ... We're looking for an Environmental Data Specialist. You will perform data entry and data management ...

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Overnight Environmental Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do overnight environmental data scientist jobs pay per year?

As of Sep 3, 2026, the average yearly pay for overnight environmental data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What does an overnight environmental data scientist do?

An Overnight Environmental Data Scientist is responsible for analyzing environmental data, such as air quality, water quality, and weather patterns, during overnight hours to ensure timely reporting and response. They use statistical methods, programming, and specialized software to process large datasets collected from sensors and other monitoring devices. Their work helps organizations and agencies make data-driven decisions about environmental policies, compliance, and emergency responses. Overnight shifts are often required to provide continuous data monitoring and immediate analysis in case of environmental incidents.

What are some unique challenges faced by overnight environmental data scientists, and how can they be managed?

Overnight Environmental Data Scientists often work outside typical business hours, which can pose challenges such as limited real-time collaboration with day-shift colleagues and adjusting to an atypical sleep schedule. Managing these challenges involves strong communication skills, effective handover processes, and utilizing collaboration tools to ensure continuity across shifts. Additionally, overnight roles may involve real-time monitoring of environmental data streams and responding quickly to anomalies, making it important to stay alert and maintain a proactive approach to data quality and reporting.

What are the key skills and qualifications needed to thrive as an overnight environmental data scientist, and why are they important?

To excel as an Overnight Environmental Data Scientist, you need strong analytical skills, proficiency in environmental science concepts, and a degree in a relevant field such as environmental science, data science, or statistics. Familiarity with programming languages like Python or R, GIS software, and experience with data visualization and analysis tools are typically required, along with certifications such as Certified Data Scientist or GIS Professional. Excellent problem-solving, attention to detail, and effective communication are crucial soft skills for interpreting complex data and collaborating with remote or cross-functional teams. These skills are essential for accurately monitoring environmental trends, supporting real-time decision-making, and ensuring data-driven insights are delivered efficiently—especially during overnight shifts when independent work is critical.

What is the difference between Overnight Environmental Data Scientist vs Environmental Data Analyst?

AspectOvernight Environmental Data ScientistEnvironmental Data Analyst
CredentialsBachelor's or Master's in Environmental Science, Data Science, or related fields; proficiency in programming and statistical toolsBachelor's or Master's in Environmental Science, Data Analysis, or related fields; strong analytical skills
Work EnvironmentTypically in research labs, field sites, or data centers, often during overnight shiftsOffice settings, fieldwork, or remote analysis during regular hours
Employer & Industry UsageEnvironmental agencies, research institutions, and consulting firmsGovernment agencies, environmental consultancies, and private firms

The main difference is that Overnight Environmental Data Scientists focus on advanced data modeling and analysis during overnight shifts, often requiring programming skills and scientific expertise. Environmental Data Analysts typically handle data interpretation during regular hours, focusing on reporting and basic analysis. Both roles are vital in environmental sectors but differ mainly in scope, work hours, and technical depth.

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States with the most job openings for Overnight Environmental Data Scientist jobs include:

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The top searched job categories for Overnight Environmental Data Scientist jobs are:

Overnight Environmental Data Scientist jobs near you
Infographic showing various Overnight Environmental Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist

Data Computer Corporation of America

Chantilly, VA • On-site

Full-time

Medical, Life, Retirement, PTO

Posted 21 days ago

Key responsibilities

  • Design, develop, and validate predictive models, statistical algorithms, and machine learning models to solve complex federal business and operational challenges.

  • Extract, clean, and analyze large volumes of structured and unstructured data from disparate sources using ETL tools and cloud-native data services.

  • Translate complex analytical findings into intuitive dashboards, reports, and visualizations to support executive decision-making.

Job description

DCCA is a veteran-owned high-technology company specializing in providing information technology services to a variety of government agencies and commercial enterprises since 1982. DCCA is proud to offer a strong, competitive compensation and benefits package. Visit our website at: www.dcca.com .
Data Scientist
CANDIDATES MUST HAVE AN ACTIVE TS/SCI w/ Poly
For over 40 years, DCCA has provided a broad range of IT services to government agencies and commercial enterprises, helping them to feel confident in their IT infrastructure. With DCCA, these organizations can be confident in the flexibility and skill of their IT partners, allowing them to upgrade their technology quickly and efficiently. Better yet, thanks to DCCA's successful track record, clients can rest assured knowing DCCA can tackle any problem with ease, allowing them to focus on the work that matters.
Internally, DCCA prides itself on a culture built on integrity and inclusivity, allowing its employees to build lasting skills and relationships. As a veteran owned business, DCCA knows the importance of recruiting employees with a wide range of backgrounds, allowing for every problem to be approached by a diverse array of perspectives. Join us and be part of a team that has a people first mentality and a dedication to excellence.
Key Tasks:
  • Advanced Analytics & Modeling: Design, develop, and validate predictive models, statistical algorithms, and machine learning models to solve complex federal business and operational challenges.
  • Data Processing & Pipeline Integration: Extract, clean, and analyze large volumes of structured and unstructured data from disparate sources using ETL tools and cloud-native data services (e.g., AWS Glue, Apache Kafka).
  • Anomaly Detection & Fraud Prevention: Implement advanced algorithms (such as Isolation Forests) to detect anomalies in large transactional or operational datasets, enhancing audit efficacy and risk mitigation.
  • Data Visualization & Reporting: Translate complex analytical findings into intuitive dashboards, reports, and interactive visualizations using tools like Amazon QuickSight, Tableau, or Power BI to empower executive decision-making.
  • Cross-Functional Collaboration: Collaborate with cross-functional Agile teams, subject matter experts, and AI/ML engineers to seamlessly integrate data science models into production applications and microservices.
  • Security & Data Governance: Ensure all data handling and model deployments strictly adhere to federal data privacy regulations, HIPAA, the Privacy Act, and DoD/NIST security standards.
  • Continuous Improvement: Monitor model performance in production environments, retraining and tuning models as necessary to prevent drift and ensure sustained accuracy over time.

Required Skills:
  • Experience: Minimum of 5+ years of professional experience in data science, advanced analytics, or machine learning engineering.
  • Programming Languages: High proficiency in Python and R for data manipulation and modeling, as well as strong advanced SQL skills for complex database querying (e.g., PostgreSQL, Oracle).
  • Machine Learning Frameworks: Extensive hands-on experience with core ML and data science libraries (e.g., Pandas, NumPy, Scikit-Learn, TensorFlow, PyTorch).
  • Cloud & Big Data: Demonstrated experience operating within cloud ecosystems (AWS GovCloud preferred) and utilizing big data technologies and data lakes (e.g., AWS S3, EMR, Redshift).
  • Clearance: TS/SCI w/Poly.

Desired Skills :
  • Prior experience supporting federal government agencies (e.g., Intelligence Community) with complex data analytics.
  • Familiarity with Natural Language Processing (NLP) and Edge AI applications.
  • Experience with DevSecOps practices, CI/CD pipelines, and version control (e.g., Git) for collaborative model development (MLOps).
  • Active industry certifications (e.g., AWS Certified Data Analytics, AWS Certified Machine Learning, or equivalent).

Education/Certifications:
  • Education: Bachelor's or master's degree in data science, Statistics, Applied Mathematics, Computer Science, or related quantitative discipline.

The proposed salary range for this position in Virginia is 195,000 to 260,000. Final salary will be determined based on various factors. Our comprehensive benefit offerings include healthcare, retirement plan, paid disability and life insurance programs, employee assistance program, paid and unpaid leave programs, education assistance, and wellness initiatives.
At DCCA, we believe the key to providing our clients with unrivaled services starts with retaining top talent, something we're able to do through our consistent commitment to building culture and comprehensive benefits.
Competitive Compensation: While salary at DCCA is determined by various factors, we are committed to making sure our salaries reflect the skill and expertise of our employees. In addition, each year we perform an annual salary review ensuring pay is equitable across both the company and industry at large.
Growth Opportunities: DCCA makes it a priority to help you grow and support your career advancement. From upskilling programs to recertification support, to professional development opportunities, we're here to help you grow your career and create lasting relationships.
Emphasis on Inclusivity: DCCA's culture emphasizes respect, equity, and opportunity and is supported by an array of business resource groups and other opportunities for connection.
Empowering Health: DCCA's benefits which encompass healthcare, paid time off, and flexible 401(k) options encourage you to live a healthy and fulfilling life, both in and outside of work. Learn more about our total benefits package on our Benefits page.
Mission Focused Work: From the defense industry to health IT management, DCCA allows you to work on innovative projects whose outcomes improve people's lives and solve today's IT problems.
Equal Opportunity Employer including Disability/Vets

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