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React Data Science Jobs (NOW HIRING)

hireVouch

Data Scientist

Apply state-of-the-art data science techniques to analyze and extract meaningful insights from vast ... React well and quickly to frequent project demands and requirement changes Excellent analytical ...

Hirevouch

Data Scientist

Apply state-of-the-art data science techniques to analyze and extract meaningful insights from vast ... • React well and quickly to frequent project demands and requirement changes • Excellent ...

Ford Motor Company

Data Scientist

Dearborn, MI · On-site

... Data Science, JavaScript/TypeScript, React, HTML and backend frameworks including Next.js, Node.js, Python, or Go * 2+ year experience with database systems (SQL, NoSQL), API design (REST/GraphQL ...

Mondelez International

$174K - $287K/yr

Make It Possible. Role Description The Data Science Service Lead will play a crucial role in ... React, or D3.js, as well as frameworks such as Shiny and Plotly Dash * Ability to develop data ...

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React Data Science information

What is the difference between React Data Science vs Data Analyst?

AspectReact Data ScienceData Analyst
Required CredentialsBachelor's in Data Science, Computer Science, or related; knowledge of React, JavaScript, PythonBachelor's in Statistics, Mathematics, or related; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentTech companies, startups, or teams developing data-driven applications with ReactBusiness, finance, marketing departments analyzing data for insights
Employer & Industry UsageTech firms, software development, data-driven product teamsCorporate, finance, healthcare, marketing sectors

React Data Science professionals combine skills in React development and data science to build interactive data applications, while Data Analysts focus on interpreting data to inform business decisions. Both roles require analytical skills, but React Data Science emphasizes coding and application development, whereas Data Analysts concentrate on data interpretation and reporting.

Infographic showing various React Data Science job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 97% Full Time, 1% Part Time, and 1% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution.

Data Science

Cloud think technologies LLC

Minneapolis, MN • On-site

Contractor

Posted 5 days ago

Job description

Data Science: We are interested in individuals who are adept at tackling undefined business problems using both traditional machine learning approaches and the latest generative AI techniques. Ideal candidates should have robust analytical skills and be proficient in Python coding. Moreover, they should be capable of working both independently and collaboratively with the rest of the team. Additionally, experience in document processing with various forms is highly preferred. Effective communication skills are also essential for this role.

AI Engineering:

Primary Responsibilities:

o Design and implement the systems to power modern web applications that enables users to derive information from patient data in a scalable, reliable, and cost-effective manner

o Ensure the delivery of high-quality, maintainable, and efficient code

o Be an advocate for product quality, including agile SCRUM methodologies, unit tests, code reviews and engineering specifications.

Required Qualifications

• BS Degree in Computer Science or equivalent

• 6+ years of hands-on software engineering design and programming experience

• Hands on experience in delivering at least two modern web applications, from design to implementation, test and release.

• Master the fundamentals of technologies such as HTTP protocols, REST API, Security Fundamentals: Encryption, Hashing, Web Security Development, Authentication and Authorization

• 3+ years hands on experience with Python programming

• Basic understanding of front-end development with React

• Understand performance issues and how to optimize database queries and caching methodologies

• Ability to debug complex software and system issues

• Improve team engineering excellence by leading clear documentation, troubleshooting, logging and applying engineering best practices.

• Quality mindset with unit and integration tests

• Extensive experience in Agile and Scrum. You know how to work within teams against a backlog, and how to enable true CI/CD. You understand the role of a Software Engineer in an Agile environment – where clarifying the solution approach, possessing deep understanding of product requirements and always watching for edge cases are paramount

• Knowledge spans the full stack, from deployment ops and database technologies through to front-end frameworks. Ideally, you have a deep understanding of both OOP and Functional stacks, Relational and NoSQL Data Stores, Streaming Applications and system development/maintenance in accloud platform such as AWS, gcp or Azure. (AWS a bonus!)

Nice-to-have Skills:

• Familiarity with OpenAPI / Swagger specifications

• Deployment experience: GitHub actions, Terraform, Docker, etc.

• AWS experience such as RDS, ALB, Redis Cache, Secret Manager, EC2, IAM