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Part Time Data Scientist Remote Jobs (NOW HIRING)

Eastern University

Adjunct Faculty- Data Science

PA · On-site +1

Adjunct Faculty Remote Employment: Remote Optional Job Number: 515 Department: Data Science ... Part-time Regular staff who are scheduled 30-36 hours per week over the course of a year, receive a ...

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Part Time Data Scientist Remote information

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How much do part time data scientist remote jobs pay per year?

As of Jun 10, 2026, the average yearly pay for part time data scientist remote in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

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 cities are hiring for Part Time Data Scientist Remote jobs? Cities with the most Part Time Data Scientist Remote job openings:
What are the most commonly searched types of Data Scientist Remote jobs? The most popular types of Data Scientist Remote jobs are:
What states have the most Part Time Data Scientist Remote jobs? States with the most job openings for Part Time Data Scientist Remote jobs include:
Part Time Data Scientist Remote jobs near you
CW Healthcare Data Science Intern

CW Healthcare Data Science Intern

Blue Cross and Blue Shield of Louisiana

Baton Rouge, LA • On-site, Remote

Part-time

Posted 17 days ago

Blue Cross Blue Shield of Louisiana rating

8.6

Company rating: 8.6 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

73rd of 260 rated insurance

Job description

We take great strides to ensure our employees have the resources to live well, be healthy, continue learning, develop skills, grow professionally and serve our local communities. We invite you to apply for a career with Blue Cross.

Residency in or relocation to Louisiana is preferred for all positions.

What This Team Does

The Healthcare Analytics & Data Science team develops data-driven solutions that strengthen how healthcare is delivered, valued, and understood. Using machine learning, statistical modeling, and generative AI, the team analyzes data, finds key correlations, and recommends strategies to improve patient outcomes, provider performance, risk-adjusted revenue, and organizational initiatives that support cost-effective care.

This team partners closely with business units and IT to deliver predictive models, prescriptive insights, and innovative AI based tools that improve decision-making and operational efficiency across the enterprise.

As a Healthcare Data Science Intern, you'll support data exploration, model development, analytic problem-solving, and the creation of AI/ML solutions that advance organizational performance and member outcomes.

What You'll Be Doing

  • Assist in developing statistical, predictive, and machine learning models related to patient utilization, outcomes, and provider performance.
  • Contribute to generative AI initiatives that enhance internal processes, automate insights, or improve user engagement.
  • Work with large datasets to perform data wrangling, feature engineering, and exploratory data analysis.
  • Partner with business stakeholders to translate analytical findings into actionable insights.
  • Collaborate with IT teams to support model deployment efforts and analytic tool development.
  • Document modeling methods, results, and assumptions in a clear and professional manner.
  • Contribute to projects focused on medical cost optimization, risk adjustment, and engagement analytics.

Who We're Looking For

Education

Currently pursuing one of the following:

  • Data Science, Computer Science, Statistics, Mathematics, Economics, Analytics, or other quantitative/health care related field.
  • Senior undergraduate, recent graduate, or graduate student
  • Coursework in machine learning, statistics, data analysis, or programming is preferred

GPA

  • Preferred: 3.5+
  • Minimum: 3.0 cumulative GPA

Skills & Experience

Minimum Qualifications

  • Working knowledge of Python for data analysis (e.g., pandas, NumPy) and comfort working in notebook-based environments (such as Databricks or Jupyter notebooks).
  • Foundational SQL skills for querying, joining, and transforming data.
  • Understanding of core statistics and data science concepts (e.g., descriptive statistics, regression or classification, model evaluation fundamentals).
  • Introductory experience with machine learning concepts and Pythonbased ML libraries (e.g., scikitlearn), through coursework, projects, or internships.
  • Experience using Microsoft Excel and PowerPoint to analyze data and communicate results.
  • Strong analytical thinking skills with the ability to interpret data, solve problems, and clearly summarize findings for non-technical audiences.
  • Effective written and verbal communication skills and ability to work collaboratively on a team.

Preferred Qualifications

  • Exposure to Databricks platform and scalable data processing concepts (e.g., PySpark, Delta tables).
  • Familiarity with BI and data visualization tools, especially Power BI or Tableau, including dashboard design best practices.
  • Additional experience with advanced ML or AI frameworks (e.g., PyTorch, TensorFlow) or LLM/GenAI tooling (e.g., LangChain, OpenAI APIs) through projects or experimentation.
  • Awareness of modern data platforms or lakehouse architectures (e.g., curated vs. raw data, reproducible analytics).
  • Interest in learning how analytics connects to internal tools or lightweight applications, with optional exposure to APIs, VS Code, or basic front-end concepts over time.

What Will Help You Succeed

  • Curiosity and a proactive approach to learning new tools and technologies
  • Strong attention to detail and organization
  • Comfort working with large datasets and complex technical concepts
  • Ability to collaborate with cross functional teams, including business and IT functional teams
  • Interest in healthcare analytics, machine learning, and AI driven problem-solving

Location Requirement

Remote - must be in an approved work from home state (see career site)

Time Commitment

20 hours per week

#LI-DNI

An Equal Opportunity Employer

All BCBSLA EMPLOYEES please apply through Workday Careers.

PLEASE USE A WEB BROWSER OTHER THAN INTERNET EXPLORER IF YOU ENCOUNTER ISSUES (CHROME, FIREFOX, SAFARI)

Additional Information

Please be sure to monitor your email frequently for communications you may receive during the recruiting process. Due to the high volume of applications we receive, only those most qualified will be contacted. To monitor the status of your application, please visit the "My Applications" section in the Candidate Home section of your Workday account.

If you are an individual with a disability and require a reasonable accommodation to complete an application, please contact recruiting@bcbsla.com for assistance.

In support of our mission to improve the health and lives of Louisianians, Blue Cross encourages the good health of its employees and visitors. We want to ensure that our employees have a work environment that will optimize personal health and well-being. Due to the acknowledged hazards from exposure to environmental tobacco smoke, and in order to promote good health, our company properties are smoke and tobacco free.

Blue Cross and Blue Shield of Louisiana performs background and pre-employment drug screening after an offer has been extended and prior to hire for all positions. As part of this process records may be verified and information checked with agencies including but not limited to the Social Security Administration, criminal courts, federal, state, and county repositories of criminal records, Department of Motor Vehicles and credit bureaus. Pursuant with sec 1033 of the Violent Crime Control and Law Enforcement Act of 1994, individuals who have been convicted of a felony crime involving dishonesty or breach of trust are prohibited from working in the insurance industry unless they obtain written consent from their state insurance commissioner.

Additionally, Blue Cross and Blue Shield of Louisiana is a Drug Free Workplace. A pre-employment drug screen will be required and any offer is contingent upon satisfactory drug testing results.

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