1

Full Stack Data Scientist Jobs (NOW HIRING)

# 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 ...

New

Associate Dir, Full Stack Data Scientist

Whippany, NJ · On-site +1

$59K - $59K/yr

Associate Dir, Full Stack Data Scientist PURPOSE:The purpose of the Associate Director is to lead and deliver cross-functional Data Science capabilities enablement as a Full Stack Data Scientist in ...

Associate Dir, Full Stack Data Scientist

Cambridge, MA · On-site +1

$64K - $65K/yr

Associate Dir, Full Stack Data Scientist PURPOSE: The purpose of the Associate Director is to lead and deliver cross-functional Data Science capabilities enablement as a Full Stack Data Scientist in ...

Associate Dir, Full Stack Data Scientist

Cambridge, MA · On-site

$64K - $65K/yr

Associate Dir, Full Stack Data Scientist PURPOSE: The purpose of the Associate Director is to lead and deliver cross-functional Data Science capabilities enablement as a Full Stack Data Scientist in ...

Associate Dir, Full Stack Data Scientist

Whippany, NJ · On-site +1

$59K - $59K/yr

Associate Dir, Full Stack Data Scientist PURPOSE: The purpose of the Associate Director is to lead and deliver cross-functional Data Science capabilities enablement as a Full Stack Data Scientist in ...

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 ...

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 ...

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 ...

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 ...

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 ...

Bachelor's degree in Computer Science, Data Engineering, or a related field, or five (5) years of equivalent experience in full-stack development and data engineering. * Knowledge and capability to ...

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 ...

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 ...

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 ...

next page

Showing results 1-20

Full Stack Data Scientist information

See salary details

$46K

$165K

$243.5K

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

As of Aug 7, 2026, the average yearly pay for 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.

What are the key skills and qualifications needed to thrive as a full stack data scientist?

To thrive as a Full Stack Data Scientist, you need expertise in data analytics, statistical modeling, machine learning, as well as proficiency in both backend (e.g., Python, SQL) and frontend (e.g., JavaScript, React) development, typically supported by a degree in computer science, data science, or a related field. Experience with tools such as TensorFlow, Scikit-learn, Docker, and cloud platforms, along with relevant certifications, is highly valued. Strong problem-solving abilities, clear communication, and the capability to work cross-functionally make candidates stand out. These skills are essential for building robust end-to-end data-driven solutions that can be deployed and maintained within real-world business environments.

What is a full stack data scientist?

A Full Stack Data Scientist is a professional who handles the entire data science workflow, from data collection and processing to model development, deployment, and monitoring. They possess skills in data engineering, machine learning, software development, and cloud technologies. Their role bridges the gap between data science and production systems, ensuring that insights and models are effectively integrated into real-world applications.

What kind of projects do full stack data scientists typically work on?

Full Stack Data Scientists commonly work on projects that span the entire data pipeline, including data collection, cleaning, model development, and deployment of interactive data-driven applications. They may develop machine learning models to solve business problems and then create dashboards or web apps to enable non-technical teams to interact with the results. Collaboration is frequent with data engineers, product managers, and business stakeholders to align technical solutions with organizational goals. These projects offer opportunities to make a tangible impact by turning raw data into actionable insights and scalable tools.

More about Full Stack Data Scientist jobs
What cities are hiring for Full Stack Data Scientist jobs? Cities with the most Full Stack Data Scientist job openings:
What are the most commonly searched types of Full Stack Data Scientist jobs? The most popular types of Full Stack Data Scientist jobs are:
What states have the most Full Stack Data Scientist jobs? States with the most job openings for Full Stack Data Scientist jobs include:
Infographic showing various Full Stack Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% 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 2 days ago

New


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