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Overnight Full Stack Data Scientist Jobs (NOW HIRING)

AIToolboard

Full Stack Data Scientist (AI/ML)

Reston, VA · On-site

$120 - $160/hr

# Full Stack Data Scientist (AI/ML)Technology VenturesReston, USContractor## About the RoleReston, VAContractJun 2, 2026Full Stack Data Scientist (AI/ML) -We are seeking a Full Stack Data Scientist to ...

rockITdata

Full Stack Data Scientist

Arlington, VA · Remote

We are seeking a highly skilled and innovative Full Stack Data Scientist to join our dynamic team. The ideal candidate will possess a strong background in both data science and software engineering ...

rockITdata

Full Stack Data Scientist

Arlington, VA · On-site +1

We are seeking a highly skilled and innovative Full Stack Data Scientist to join our dynamic team. The ideal candidate will possess a strong background in both data science and software engineering ...

CREW

Full-Stack Data Scientist

Manhattan, NY · On-site

$90 - $120/hr

About the Role We are looking for a product-focused data scientist and developer to join CREW's Platform Team. This person designs and implements data products to enable other CREW teams and to ...

CREW Carbon, Inc.

Full-Stack Data Scientist

Manhattan, NY · On-site

$90 - $120/hr

About the Role We are looking for a product-focused data scientist and developer to join CREW's Platform Team. This person designs and implements data products to enable other CREW teams and to ...

RPMGlobal

Full-Stack Data Engineer

Miami, FL · On-site

$120 - $160/hr

Bachelor's degree in Computer Science, Data Engineering, or a related field OR a minimum of 5 years of equivalent experience in full-stack development and data engineering. * Demonstrated experience ...

Prescient Edge

Full-Stack Data Engineer

Doral, FL · On-site

Bachelor's degree in computer science, Data Engineering, Geospatial Information Systems (GIS), or a related field, or five (5) years of equivalent experience in data engineering, full-stack ...

Hearst

Full-Stack Data Engineer

Troy, MI · On-site

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group of Hearst, is actively seeking a Full-Stack Data Engineer. Ideally, a hands-on data engineer who ...

Hearst

Full-Stack Data Engineer

Troy, MI

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group of Hearst, is actively seeking a Full-Stack Data Engineer. Ideally, a hands-on data engineer who ...

Prescient Edge

NY · On-site

$90 - $120/hr

Bachelor's degree in computer science, Data Engineering, Geospatial Information Systems (GIS), or a related field, or five (5) years of equivalent experience in data engineering, full-stack ...

Hearst Newspapers

Full-Stack Data Engineer

Troy, MI · On-site

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group of Hearst, is actively seeking a Full-Stack Data Engineer. Ideally, a hands-on data engineer who ...

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Overnight Full Stack Data Scientist information

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$46K

$165K

$243.5K

How much do overnight full stack data scientist jobs pay per year?

As of Aug 28, 2026, the average yearly pay for overnight full stack data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.
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Overnight Full Stack Data Scientist jobs near you
Infographic showing various Overnight Full Stack 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 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Full Stack Data Scientist (AI/ML)

AIToolboard

Reston, VA • On-site

$120 - $160/hr

Other

Posted 22 days ago

Job description

# Full Stack Data Scientist (AI/ML)Technology VenturesReston, USContractor## About the RoleReston, VAContractJun 2, 2026Full Stack Data Scientist (AI/ML) -We are seeking a Full Stack Data Scientist to develop AI/ML solutions end-to-end, from business problem formulation and model development through production-ready application delivery and operationalization. This role combines deep modeling expertise, strong software engineering skills, and practical MLOps experience. The ideal candidate builds models that matter, writes code that lasts, and partners with platform teams to deploy, monitor, and operate AI/ML solutions efficiently and reliably at scale.Key Responsibilities• Translate complex business requirements into AI/ML-based technical solutions and ensure efficiency, scalability and reliability• Design, develop, validate, and document AI/ML models and applications• Build production-grade Python code and pipelines for data processing, feature engineering, training, and inference.• Develop model-driven applications and services (batch or real-time).• Apply software engineering best practices including modular design, testing, code reviews, and CI/CD.• Collaborate with MLOps teams on deployment, monitoring, versioning, and retraining.• Implement model performance, stability, and data drift monitoring.• Produce documentation to support governance, validation, and audit requirements.Required Qualifications• Proven hands-on experience (6+ years preferred) in production-ready models and applications that solve real business problems while actively participating in MLOps to ensure solutions operate reliably in production.• Strong experience in statistical modeling, machine learning, AI, and applied analytics.• Advanced proficiency in Python, ML libraries, SQL, and big data processing (e.g. pandas, NumPy, scikit-learn, TensorFlow, PySpark ).• Experience writing production-ready, maintainable code and application design.• Strong experience with AWS cloud ML platforms (e.g., AWS SageMaker, MLFlow, S3, compute services, Redshift).• Experience with model deployment and MLOps practices• Strong problem-solving and communication skills.EducationBachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Engineering, or a related quantitative field. #J-18808-Ljbffr

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