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Front End Data Science Developer Jobs (NOW HIRING)

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Senior Data Scientist

Mountain View, CA · On-site +1

$121K - $198K/yr

... frontend, data) for converting data to insights. * Mentor junior members of the team ... Computer Science, Statistics, Operations Research, Informatics, Engineering, Applied Mathematics ...

1 point system

Data Science Engineer

Century City, CA · On-site

Minimum 3 years working in a Data Science role * Bachelor's degree in a relevant field such Mathematics, Science, Engineering, Computer Science, or Business * Master's Degree in relevant discipline ...

Adobe, Inc.

Data Science Engineer

San Jose, CA · On-site

We seek a data scientist to join the Creativity & Productivity finance team to refine and implement ... Analyze data to identify or resolve operational problems to create processes to reverse engineer ...

OVA.Work

data science engineer

Alpharetta, GA · On-site

$108K - $130K/yr

... and DevOps practices • Problem-solving mindset • Strong communication skills • Team ... Data Science, or related field Preferred : • 2+ years of experience in data engineering or ...

Lincoln Financial

Director, Data Science

Charlotte, NC · Hybrid

As Director, Data Science, you will lead a small, experienced team of data scientists and analytics ... data engineering, pipelines, and solution architecture that moves data between front-end user ...

PURE Insurance

Director, Data Science

... into the front-end systems where underwriters, claims handlers, risk managers, and sales staff ... Collaborate deeply with Analytics Engineering to prototype Gold Layer data assets for new models ...

Altagrove LLC

Data Science

Norfolk, VA · On-site

Conduct data exploration, feature engineering, model training, validation, testing, and performance ... Strong proficiency in Python and experience with modern data science and engineering frameworks.

Lincoln Financial

Director, Data Science

Charlotte, NC · On-site

As Director, Data Science, you will lead a small, experienced team of data scientists and analytics ... data engineering, pipelines, and solution architecture that moves data between front-end user ...

Gartner

Director, Data Science

Arlington, VA · Remote

Collaborate with engineering, product, UX, and business leaders to prioritize ideas, launch MVPs, iterate rapidly, and deliver measurable business value. * Lead a team of data scientists, driving ...

Gartner

Director, Data Science

Irving, TX · Remote

Collaborate with engineering, product, UX, and business leaders to prioritize ideas, launch MVPs, iterate rapidly, and deliver measurable business value. * Lead a team of data scientists, driving ...

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Front End Data Science Developer information

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$155.5K

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

As of Aug 14, 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.
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What states have the most Front End Data Science Developer jobs?

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Front End Data Science Developer jobs near you
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.

Data Science Specialist

Adidev Technologies Inc

Manhattan, NY • On-site

Full-time

Re-posted 25 days ago

Job description

Adidev Technologies Inc
www.adidevtechnologies.com
URGENT HIRE - HIRING PROCESS - 24-48 HOURS!
Adidev Technologies is seeking 1-2 yrs of relevant experience in Data Science. A project can last anywhere from 6 months to 18 months. Salary varies depending on experience, and we are in search of candidates looking to start as soon as possible. Excellent written and oral communication are required as is the ability to work well in a team environment.
If you are looking for a new challenge and are ready to make an impact on a growing team, then this will be a perfect fit. As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients.
Adidev Technologies is a growing software consulting company that is constantly expanding. As we are working with renowned clients and ready to take on new ones, we are seeking brilliant software engineers. Not only do we offer a great team to work with, but we also offer you an opportunity to make an immediate impact and get rewarded accordingly
Job Description
  • Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization modeling in geospatial, network topography, recommendation systems, environmental systems, and/or agronomic problems.
  • Strong foundation in Python programming in a cloud environment.
  • Strong quantitative abilities, distinctive problem-solving, and excellent analysis skills
  • Expertise in data wrangling using SQL,
  • Practical knowledge and experience with cloud-computing systems and platforms, including the routine deployment of pipelines through Kubernetes
  • Fluency in querying/extracting/aggregating data via SQL scripting.
  • Extract, load and transform data (ETL) from structured and unstructured sources
  • Apply Natural Language Processing and Computer Vision to solve business use cases,
  • Strong skills in scientific data analyses, modeling, visualization and communication of results.
  • Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorFlow, PyTorch), Spacy, MongoDB, PostgreSQL, Flask, streamlet and a good knowledge of data pipelines construction
  • Ph.D., M.S. or B.S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote Sensing Science, Environmental Sciences, Computational Astronomy or related scientific discipline

Must have
  • Understanding of various machine learning algorithms (e.g. SVM, Random Forests, Gradient Boosting, Log-Log regression, XGBoost, Lasso, Ridge, Clustering techniques, Neural Networks and others)
  • Regression (e.g. ? Linear/Logistic/MNL/Mixed Effects/Regularization)
  • Classification (K-means, Hierarchical, Latent Class, DBScan, SVM)
  • Dimension Reduction techniques (Principal Component analysis, Singular Value Decomposition etc.)
  • Optimization (Linear programming, Stochastic Gradient Descent, Genetic Algorithm etc.)
  • Experience with neural network approaches to text classification CNN, RNN, LSTM,Keras
  • Machine Learning algorithms? Neural Networks, Naïve Bayes, Bagging & Boosting, Random Forest
  • Distributed computing tools and cloud technology (AWS)

QUALIFICATIONS
  • Degree in Data Science, Computer Science, Engineering, Math, or Statistics preferred
  • At least 2 yrs of relevant experience in Data Science

SKILLS
  • SQL, statistical modeling, Feature engineering, Data visualization, Deploying models to production, Python programming, AWS, Domains(Healthcare/ Manufacturing/ Marketing/ Financial/ Telecommunication), powerbi/tableau, data warehouse

Benefits
  • Competitive Salary
  • Paid Relocation
  • Remote Support
  • Guaranteed Regular Salary Reviews
  • Job Type: W2 or Contract 1099 (full-time - 40 hours)

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