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Front End Data Science Developer Jobs (NOW HIRING)

Data Science Engineer

Austin, TX · Hybrid

$65 - $69.72/hr

Data Science Engineer Job Details * Data Science Engineer (Contract) * Location: Austin TX, 78758 (Hybrid) * Duration: 11/17/2025 to 11/13/2026 * Team: Fraud ADUS Key Responsibilities: * Develop and ...

Data Scientist

Bethesda, MD · On-site

$160 - $190/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

You will combine expertise in mathematics, statistics, computer science, and domain-specific ... oriented programming languages such as Java or C++ * Working knowledge with Front-end data ...

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... Strong foundation in Python programming in a cloud environment. * Strong quantitative abilities ...

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... Strong foundation in Python programming in a cloud environment. * Strong quantitative abilities ...

Data Scientist

Fort Belvoir, VA · On-site

$160K - $190K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

You will combine expertise in mathematics, statistics, computer science, and domain-specific ... oriented programming languages such as Java or C++ * Working knowledge with Front-end data ...

Data Science Engineer

Livermore, CA · On-site

$121K - $154K/yr

  • Retirement

Wehave multiple openings for early-career Data Science Engineers to join a team applying machine learning, AI/NLP, and data science to national security challenges. You will contribute to the design ...

Data Science Engineer

Livermore, CA · On-site

$9.7K/wk

  • Retirement

We have multiple openings for early-career Data Science Engineers to join a team applying machine learning, AI/NLP, and data science to national security challenges. You will contribute to the design ...

Data Science Engineer

Livermore, CA · On-site

$134K - $161K/yr

  • Retirement

Wehave multiple openings for a Data Science Engineer with a background in applied machine learning and data science for cybersecurity and power systems applications. You will design, build, and ...

Data Science Engineer

Alpharetta, GA · On-site

$108K - $130K/yr

Work is a company seeking a Data Science Engineer who bridges data science and engineering. The role focuses on building, deploying, and scaling machine learning models and data pipelines while ...

Data Science Engineer

Livermore, CA · On-site

$121K - $154K/yr

  • Retirement

We have multiple openings for early-career Data Science Engineers to join a team applying machine learning, AI/NLP, and data science to national security challenges. You will contribute to the design ...

Data Science Engineer

Livermore, CA

$134K - $161K/yr

  • Retirement

We have multiple openings for a Data Science Engineer with a background in applied machine learning and data science for cybersecurity and power systems applications. You will design, build, and ...

Data Science Engineer

Livermore, CA · On-site

$9.7K/wk

  • Retirement

We have multiple openings for a Data Science Engineer with a background in applied machine learning and data science for cybersecurity and power systems applications. You will design, build, and ...

As Director of Data Science , you will lead the team responsible for Numerator's consumer panel ... You'll partner closely with Market Science, Engineering, Product, and GTM to turn that signal into ...

The team is responsible for protecting existing global data science environments, modernizing data ... Advanced programming skills for front-end ML application design (Shiny, Dash,Streamlit) and ML ...

The team is responsible for protecting existing global data science environments, modernizing data ... Advanced programming skills for front-end ML application design (Shiny, Dash,Streamlit) and ML ...

Showing results 21-40

Front End Data Science Developer information

See salary details

$42.5K

$110.4K

$155.5K

How much do front end data science developer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for front end data science developer in the United States is $110,412.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,000.00 and $121,000.00 per year, depending on experience, location, and employer.

What is a front end data science developer?

A Front End Data Science Developer is a professional who combines skills in data science and front-end web development. They are responsible for developing interactive web applications that visualize and communicate data insights to users. Their work often involves using JavaScript frameworks, data visualization libraries, and integrating machine learning models or analytics into user-friendly dashboards. This role bridges the gap between complex data processes and end-users by creating intuitive interfaces for exploring and understanding data.

How do front end data science developers typically collaborate with data scientists and back-end engineers on projects?

Front End Data Science Developers play a crucial bridge role by transforming complex data outputs into interactive and intuitive visualizations for end-users. They frequently collaborate with data scientists to understand model outputs and with back-end engineers to ensure seamless data flow and API integration. Regular meetings, shared documentation, and version control systems help align the team, while tools like Jupyter, React, and D3.js are commonly used for effective collaboration. Open communication and a clear understanding of user needs are essential for translating technical insights into actionable, user-friendly interfaces.

What are the key skills and qualifications needed to thrive as a front end data science developer?

To thrive as a Front End Data Science Developer, you need strong programming skills in JavaScript, HTML, and CSS, along with a solid understanding of data visualization and analytical methods, often supported by a degree in computer science or a related field. Familiarity with frameworks like React or Angular, data visualization libraries such as D3.js, and tools like Jupyter or Tableau is typically required. Excellent problem-solving abilities, attention to detail, and effective communication are crucial soft skills for translating complex data into accessible user interfaces. These competencies ensure that data-driven insights are presented clearly and interactively, enabling better decision-making and user engagement.
More about Front End Data Science Developer jobs

What states have the most Front End Data Science Developer jobs?

States with the most job openings for Front End Data Science Developer jobs include:

Infographic showing various Front End Data Science Developer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $110,412 per year, or $53.1 per hour.

Full-time

Re-posted 10 days ago


Job description

The AI & Data Science Engineering Intern will support cutting-edge projects at the intersection of software engineering, applied AI, and materials innovation. The intern will work on initiatives that combine agentic AI workflows, computer vision, and data science to accelerate research and development in construction materials. The role includes building end-to-end prototypes that integrate backend services, AI models, and user interfaces to drive digital transformation across the organization.

Duties and Responsibilities:

  • Assist in the design and development of agentic AI workflows, integrating large language models with data sources and multi-agent orchestration.
  • Develop and maintain backend APIs and services using frameworks such as FastAPI to support AI and data science applications.
  • Build interactive dashboards and prototypes with Streamlit, Reflex, or similar tools for internal stakeholders.
  • Contribute to computer vision workflows, such as SEM image analysis and defect detection, to automate materials characterization.
  • Perform data wrangling, exploratory analysis, and statistical modeling to uncover insights from experimental, operational, and customer datasets.
  • Collaborate with the team to design, implement, and test machine learning models (regression, clustering, NLP, computer vision).
  • Document methodologies, maintain reproducible codebases, and present results to both technical and business stakeholders.
  • Stay current with emerging tools, frameworks, and best practices in agentic AI, software engineering, computer vision, and data science.

Qualification:

  • Currently pursuing a Master's or PhD in Computer Science, Data Science, Engineering, or a related field from an accredited university with a minimum 3.0 GPA.
  • Strong programming skills in Python with experience in libraries such as pandas, scikit-learn, OpenCV, TensorFlow/PyTorch.
  • Experience with backend frameworks (FastAPI, Flask, Django) and frontend/UI tools (Streamlit, Reflex, React-based).
  • Familiarity with LLMs, agentic AI frameworks, or orchestration tools (LangChain, LlamaIndex, or custom pipelines).
  • Solid understanding of machine learning and computer vision principles.
  • Interest in applying AI/ML to industrial and materials science challenges.

Additional Information:

Work Location: Carlisle, PA. No travel required. Remote work is not available for this position.

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