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Part Time Data Scientist Remote information

What is the difference between Part Time Data Scientist Remote vs Part Time Data Analyst Remote?

AspectPart Time Data Scientist RemotePart Time Data Analyst Remote
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; often some programming experienceBachelor's in Data Analysis, Statistics, or related field; basic analytical skills
Work EnvironmentRemote, flexible hours, project-basedRemote, flexible hours, project-based
Employer & Industry UsageTech companies, finance, healthcare, consultingRetail, marketing, finance, healthcare
Common Search & Comparison IntentUnderstanding role differences, qualifications, and remote work optionsUnderstanding role scope, skills needed, and remote opportunities

Part Time Data Scientist Remote roles focus on advanced analytics, machine learning, and predictive modeling, requiring stronger technical credentials. Part Time Data Analyst Remote positions typically involve data cleaning, reporting, and basic analysis. Both roles are remote and flexible but differ in complexity and skill requirements.

What are the key skills and qualifications needed to thrive as a Part Time Data Scientist (Remote), and why are they important?

To thrive as a Part Time Data Scientist (Remote), you need a strong background in statistics, data analysis, and programming (commonly in Python or R), often supported by a degree in a quantitative field. Familiarity with machine learning frameworks, data visualization tools, and cloud-based platforms is typically required, along with experience using SQL and version control systems like Git. Excellent problem-solving skills, self-motivation, and clear communication are vital soft skills for collaborating across distributed teams and managing projects independently. These competencies ensure accurate insights, efficient remote workflows, and impactful contributions to data-driven decision making.

How does working as a part-time remote data scientist typically impact collaboration and communication with the rest of the team?

As a part-time remote data scientist, effective collaboration often relies on clear communication and proactive engagement with both technical and non-technical team members. You'll likely use project management tools, version control systems, and regular virtual meetings to stay aligned with full-time colleagues and stakeholders. Flexibility in scheduling and clear documentation of your work are key, as team members may be in different time zones or working hours. Building strong relationships through regular updates and responsiveness can help ensure your contributions are well-integrated, despite the part-time and remote nature of the role.

What is a Part Time Data Scientist (Remote)?

A Part Time Data Scientist (Remote) is a professional who analyzes and interprets complex data to help organizations make informed decisions, but works fewer hours than a full-time employee and does so from a location outside the traditional office. Their responsibilities often include building data models, generating reports, and collaborating with teams virtually. This role is ideal for individuals seeking flexibility in their schedule or balancing other commitments, while still applying their analytical skills in a professional setting.

What jobs make $3,000 a month without a degree?

Part-time data scientist roles can sometimes pay around $3,000 per month, especially for those with strong analytical skills, proficiency in programming languages like Python or R, and experience with data tools. Many such positions are remote and may require self-education or certifications rather than a formal degree.
What are the most commonly searched types of Data Scientist Remote jobs in Michigan? The most popular types of Data Scientist Remote jobs in Michigan are:
What cities in Michigan are hiring for Part Time Data Scientist Remote jobs? Cities in Michigan with the most Part Time Data Scientist Remote job openings:
Part Time Data Scientist Remote jobs near you
EPDI Data Abstractor: Part Time

EPDI Data Abstractor: Part Time

Carta Healthcare

Detroit, MI • Remote

$32/hr

Part-time

Posted 9 days ago

Job description

Join Our Team as a Clinical Data Abstractor at Carta Healthcare!

Company: Carta Healthcare Inc.
Position: Flexible Schedule Clinical Data Abstractor
Location: 100% Remote (Non-Benefit Position)

Are you experienced in clinical data abstraction?

Carta Healthcare Inc. is seeking talented individuals to join our growing team as Part-Time Clinical Data Abstractors!

Join our team at Carta Healthcare, where we offer opportunities for experienced clinical data abstractors. We offer a flexible work schedule that allows for a balanced work-life experience.

About Us:

At Carta Healthcare, we are revolutionizing the way healthcare data is managed and used with innovative software solutions.

Position Overview:

As a Part-Time Clinical Data Abstractor, you will be responsible for abstracting and coding patient information from medical records to meet the requirements of various target registries.

What We're Looking For:
  • Minimum of 1 year of recent clinical data abstraction experience
  • Proficiency with EMR systems
  • Maintain a 98% or higher IRR score
  • Previous remote work experience preferred
  • Available for a minimum of 60 abstraction hours monthly
Why Join Us?
  • Flexible part-time hours non-benefit - W2 employee
  • Hourly rate $32
  • 100% remote
  • Laptop provided for Carta abstraction

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. All applicants are required to reside within the continental United States.

Carta Healthcare is dedicated to building a diverse and inclusive company because we serve health systems across the country; we've seen how our product and impact are strengthened the more we reflect that diversity. In addition, we have found and strongly believe that diverse teams are higher-performing, and we embrace the varied perspectives that our team members share with each other. As such, we are an Equal Opportunity Employer.

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