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Afternoon Full Stack Data Scientist Jobs in Indiana

Onebridge

Senior AI Full Stack Engineer

Indianapolis, IN · On-site +1

Senior AI Full Stack Engineer | About You As a Senior AI Full Stack Engineer, you are responsible for building modern, data-driven web applications that enable scientists and researchers to interact ...

Onebridge

Senior AI Full Stack Engineer

Indianapolis, IN · On-site

$120 - $180/hr

You are energized by creating user experiences that simplify scientific workflows and make large-scale data accessible and actionable. Senior AI Full Stack Engineer | Day-to-Day * Design, develop ...

Onebridge

Full Stack Engineer

Indianapolis, IN · On-site

They are seeking a highly skilled Full Stack Engineer responsible for building modern, data-driven web applications that enable scientists and researchers to interact with complex datasets ...

CNP Infotech

Senior Java Full Stack Developer

Carmel, IN

$49.75 - $64.25/hr

Bachelor's degree in Computer Science or related field. * Minimum 5 years of experience in Java Full Stack Development. * Strong proficiency in Java, Spring, React, and other modern technologies.

eTeam

IoT Full Stack Engineer

Lafayette, IN · On-site

This role focuses on connecting manufacturing equipment, structuring machine data, and delivering actionable insights to improve manufacturing processes. Responsibilities : • Required Full stack ...

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All JobsAfternoon Full Stack Data Scientist JobsAfternoon Full Stack Data Scientist Jobs in Indiana

Afternoon Full Stack Data Scientist information

What is the difference between Afternoon Full Stack Data Scientist vs Data Analyst?

AspectAfternoon Full Stack Data ScientistData Analyst
Required SkillsProgramming, machine learning, data modeling, data visualizationData interpretation, reporting, basic SQL and Excel skills
Work EnvironmentCross-functional teams, project-based, technical focusBusiness units, reporting, descriptive analytics
Common CertificationsData Science certifications, Python/R proficiencyExcel, Tableau, SQL certifications

The Afternoon Full Stack Data Scientist typically handles complex data modeling, machine learning, and full-stack development tasks, working on predictive analytics and advanced data projects. In contrast, a Data Analyst focuses on interpreting data, creating reports, and supporting business decisions with descriptive analytics. Both roles require strong analytical skills, but the Data Scientist's role is more technical and project-oriented, while the Data Analyst's role emphasizes data reporting and visualization.

What are the most commonly searched types of Full Stack Data Scientist jobs in Indiana? The most popular types of Full Stack Data Scientist jobs in Indiana are:
What are popular job titles related to Afternoon Full Stack Data Scientist jobs in Indiana? For Afternoon Full Stack Data Scientist jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Afternoon Full Stack Data Scientist jobs in Indiana look for? The top searched job categories for Afternoon Full Stack Data Scientist jobs in Indiana are:
What cities in Indiana are hiring for Afternoon Full Stack Data Scientist jobs? Cities in Indiana with the most Afternoon Full Stack Data Scientist job openings:
Afternoon Full Stack Data Scientist jobs near you
Infographic showing various Afternoon Full Stack Data Scientist job openings in Indiana as of June 2026, with employment types broken down into 86% Full Time, 11% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior AI Full Stack Engineer

Onebridge

Indianapolis, IN • On-site, Remote

Full-time

Posted 12 days ago

Job description

Marlabs, a global AI and Digital Solutions Consulting firm, delivers intelligent solutions across AI, data, analytics, and product engineering. Since 2000, we have partnered with some of the largest healthcare, life sciences, financial services, and government organizations worldwide. As we continue to expand our global footprint, we have an exciting opportunity for a highly skilled Senior AI Full Stack Engineer to join our innovative and dynamic team.
Senior AI Full Stack Engineer | About You
As a Senior AI Full Stack Engineer, you are responsible for building modern, data-driven web applications that enable scientists and researchers to interact with complex datasets intuitively and efficiently. You enjoy working across the entire stack, from designing backend services and APIs to crafting responsive, elegant frontends. You thrive in environments where you collaborate closely with UX designers, scientists, and engineering partners to turn ideas into high-impact tools. You value clean architecture, reusable components, automated testing, and strong engineering best practices. You are energized by creating user experiences that simplify scientific workflows and make large-scale data accessible and actionable.
Senior AI Full Stack Engineer | Day-to-Day
  • Design, develop, and support scalable full-stack applications and AI-powered solutions using Python and modern development technologies.
  • Build and integrate Generative AI capabilities using LLM platforms such as OpenAI, Azure OpenAI, and Anthropic, including prompt engineering and context management.
  • Develop agentic workflows, tool integrations, and function-calling capabilities to automate complex business processes and enhance user experiences.
  • Integrate enterprise applications with platforms such as Microsoft 365, SharePoint, Microsoft Graph, ServiceNow, Jira, and Confluence through secure APIs.
  • Implement secure authentication, authorization, and secrets management practices while ensuring compliance with enterprise security standards.
  • Collaborate with cross-functional teams to deliver, deploy, and continuously improve applications through CI/CD pipelines, containerization, and modern DevOps practices.

Senior AI Full Stack Engineer | Skills & Experience
  • 7+ years of experience in full-stack application development within enterprise or technology-driven environments, with strong proficiency in Python.
  • Hands-on experience building AI and Generative AI solutions, including LLM API integrations, prompt engineering, token management, and conversational AI applications.
  • Strong experience with enterprise integrations, including Microsoft 365, Microsoft Graph, SharePoint, ServiceNow, Jira, Confluence, and REST APIs.
  • Expertise in secure application development, including SSO integrations (SAML, OAuth2, OIDC), API gateways, middleware, and secrets management best practices.
  • Experience with modern DevOps and cloud-native development, including containerization, CI/CD pipelines, deployment automation, and application lifecycle management.

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