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Remote Full Stack Data Scientist Jobs in Michigan

Apexon

Full-Stack Engineer

Southfield, MI · Remote

Remote Clearance Requirement: Public Trust required Required Skills and Experience * Minimum of ... Completion of story cards with the highest level of quality, ensuring data security and compliance ...

Ford Motor Company

Data Scientist

Dearborn, MI · Remote

The Senior Data Scientist will design and implement advanced systems that support cross-domain ... Benefit Summary This role is remote but if you live within 50 miles within Dearborn, MI, you will ...

Code4lib

Software Engineer (Full-stack)

Lansing, MI · On-site +1

Remote within the Continental United States ITHAKA's mission is to expand access to knowledge and ... You will collaborate with fellow engineers and our data integration partners at the DXtera ...

Adecco

Full Stack Developer

Port Huron, MI · Remote

$80K - $110K/yr

Experience integrating applications and data sources * Ability to work independently in a remote environment * Strong problem-solving and communication skills Preferred Qualifications * Experience ...

DataAnnotation

Data Science Consultant

Lansing, MI · On-site +1

$40/hr

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

DataAnnotation

Data Science Consultant

Wyoming, MI · On-site +1

$40/hr

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

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Remote Full Stack Data Scientist information

What is a Remote Full Stack Data Scientist?

A Remote Full Stack Data Scientist is a professional who works from any location to handle the end-to-end process of data science projects. This includes collecting and cleaning data, developing and training machine learning models, deploying solutions into production, and sometimes building user-facing applications. They are skilled in both back-end (data engineering, modeling) and front-end (visualization, application development) tasks. Remote Full Stack Data Scientists often collaborate with distributed teams using digital communication and project management tools. Their broad skill set allows them to manage the entire data pipeline and deliver actionable insights or products remotely.

How do Remote Full Stack Data Scientists typically collaborate with cross-functional teams in a virtual environment?

Remote Full Stack Data Scientists frequently work with product managers, engineers, and business analysts using collaboration tools such as Slack, Zoom, and project management platforms like Jira or Trello. Regular virtual meetings, clear documentation, and version control systems (like Git) help ensure transparency and alignment across teams. Effective communication and proactive updates are essential to keep projects on track and to integrate data-driven insights into the broader product development process.

What are the key skills and qualifications needed to thrive as a Remote Full Stack Data Scientist, and why are they important?

To thrive as a Remote Full Stack Data Scientist, you need a strong foundation in statistics, machine learning, data engineering, and programming languages like Python or R, usually supported by a relevant degree in computer science, statistics, or a related field. Familiarity with tools and frameworks such as TensorFlow, PyTorch, SQL databases, cloud platforms (AWS, Azure, GCP), and experience with version control systems like Git are typically required. Excellent problem-solving, communication, and self-motivation skills are crucial for collaborating remotely and translating complex data insights to stakeholders. These combined abilities ensure effective end-to-end data solutions, seamless remote teamwork, and impactful business outcomes.
What are popular job titles related to Remote Full Stack Data Scientist jobs in Michigan? For Remote Full Stack Data Scientist jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Remote Full Stack Data Scientist jobs in Michigan look for? The top searched job categories for Remote Full Stack Data Scientist jobs in Michigan are:
What cities in Michigan are hiring for Remote Full Stack Data Scientist jobs? Cities in Michigan with the most Remote Full Stack Data Scientist job openings:
Remote Full Stack Data Scientist jobs near you
Infographic showing various Remote Full Stack Data Scientist job openings in Michigan as of May 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 100% Remote job distribution.
Full-Stack Engineer

Full-Stack Engineer

Apexon

Southfield, MI • Remote

Other

Posted 25 days ago

Job description

The Journeyman will be responsible for designing, developing, and supporting full stack applications in a cloud-native AWS environment. The role requires strong hands-on development experience, adherence to Agile practices, and a focus on quality, security, and performance across all deliverables.

Role Title: Full-Stack Engineer

Location: Remote

Clearance Requirement: Public Trust required

Required Skills and Experience

  1. Minimum of five years of software development experience with hands-on design and development of full stack applications.
  2. Strong proficiency in building platforms on AWS using cloud-native technologies, including Serverless or SAM, Lambda, S3, and RDS.
  3. Proven experience building and modifying code with comprehensive unit testing to ensure high-quality deliverables.
  4. Strong expertise in modern web technologies with deep hands-on experience in Node.js for backend development and React.js for frontend development.
  5. Solid understanding and practical experience working in Agile development environments, including Scrum and Kanban methodologies.

Preferred Skills

  1. Experience with AWS DevOps practices and CloudWatch log analysis.
  2. Ability to triage production issues and provide timely resolutions.
  3. Experience documenting technical designs and solution approaches.

Day-to-Day Responsibilities

  1. Analyze and solution user stories and participate in story development.
  2. Develop application features aligned with approved user stories and technical designs.
  3. Perform thorough unit testing and defect resolution to ensure code quality.
  4. Participate actively in Agile ceremonies, including daily stand-ups and sprint meetings, and provide regular progress updates.

Expected Deliverables

  1. Completion of story cards with the highest level of quality, ensuring data security and compliance standards are met.
  2. Timely support for defect fixes across development, testing, and production environments.
  3. Support application deployments across all required environments.

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