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Remote Full Stack Data Scientist Jobs in Arkansas

Clarivate

$204K - $214K/yr

Experience in life sciences, healthcare, or data/analytics platforms. * Experience working with ... model) or remote in the US. At Clarivate, we are committed to providing equal employment ...

Varsity Tutors

HTML Tutor

Fort Smith, AR · Remote

$18 - $40/hr

... full-stack web development skills. * Effective Teaching Methods: Ability to identify concepts ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Varsity Tutors

HTML Tutor

Conway, AR · Remote

$18 - $40/hr

... full-stack web development skills. * Effective Teaching Methods: Ability to identify concepts ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Varsity Tutors

HTML Tutor

Fayetteville, AR · Remote

$18 - $40/hr

... full-stack web development skills. * Effective Teaching Methods: Ability to identify concepts ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Varsity Tutors

HTML Tutor

Bentonville, AR · Remote

$18 - $40/hr

... full-stack web development skills. * Effective Teaching Methods: Ability to identify concepts ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

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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?

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 Arkansas?

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What job categories do people searching Remote Full Stack Data Scientist jobs in Arkansas look for?

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Remote Full Stack Data Scientist jobs near you

Medical Microbiology Consultant - Remote

micro1 AI

Fayetteville, AR • Remote

$70 - $90/hr

Part-time

Posted 17 days ago

Job description

Role Title: Microbiologist


Role Type: Contractor


Location: Remote


micro1 is engaging Microbiologists to contribute their scientific expertise to a unique customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Key Responsibilities:

  1. Investigate and analyze the development, morphology, and behavior of microscopic organisms including bacteria, fungi, and algae.
  2. Contribute to the study of the relationship between microorganisms and disease, supporting projects involving medical microbiology.
  3. Assess the impact of antibiotics and other agents on microbial populations, providing insights for AI model accuracy.
  4. Document experimental findings and processes with a focus on clarity for AI training data.
  5. Collaborate with interdisciplinary teams to ensure scientific rigor and data integrity in AI development.
  6. Provide written and verbal expertise on microbiological phenomena and their relevance to real-world and computational contexts.
  7. Utilize rubrics and established evaluation criteria to assess data quality and support AI training workflows.


Required Skills and Qualifications:

  1. Bachelor’s degree or higher in Biology, Microbiology, Chemistry, or a related field.
  2. Extensive knowledge of bacterial, fungal, and algal systems.
  3. Demonstrated expertise in investigating microbial structure and physiology.
  4. Strong written and verbal communication skills for technical and interdisciplinary collaboration.
  5. Ability to document processes and findings clearly for integration into AI systems.
  6. Comfort working independently in a fully remote, digital-first environment.
  7. Attention to detail and commitment to scientific accuracy.


Preferred Qualifications:

  1. Prior experience developing or applying rubrics in scientific or educational contexts.
  2. Experience with AI, machine learning, or annotation projects related to biology or microbiology.
  3. Advanced degree (Master’s or PhD) in a relevant field.

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