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Part Time Remote Data Science Jobs (NOW HIRING)

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Job From Home Data Entry Clerk

Cincinnati, OH · Remote

$16.25 - $21.75/hr

Job From Home Data Entry Clerk - Part-Time (Remote) This is your chance to start a lifelong profession with limitless opportunity. Discover the freedom you've been trying to find by taking a minute ...

Jobsultant Solutions

Remote Data Entry Clerk

Chicago, IL · Remote

$680/wk

It is actually a Pliable part-time project. All the jobs are work from home/on university work, you don't need to take a trip somewhere and likewise you don't need to have to possess a car to get ...

MUSC

... Science in Health Informatics (MSHI) program will teach graduate-level online courses in health informatics, data analytics, health information systems, and related areas. This part-time, remote ...

The Pennsylvania State University

$30/hr

... translating science into accessible and engaging public communication. This position isfully ... Part-time, hourly (approximately 10-15 hours per week). * Work Location: Fully remote within the ...

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Part Time Remote Data Science information

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$37.5K

$122.7K

$196.5K

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

As of Jul 12, 2026, the average yearly pay for part time remote data science 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.

How do part-time remote data scientists typically collaborate with full-time team members and stay aligned on project goals?

Part-time remote data scientists often use collaboration tools like Slack, Zoom, and project management platforms to communicate regularly with full-time team members. They participate in scheduled check-ins, contribute to shared documentation, and frequently update progress on assigned tasks to ensure alignment with project goals. Clear communication and proactive scheduling help address challenges such as different time zones and limited overlapping hours. This structure supports strong teamwork and keeps part-time contributors integrated into the broader data science workflow.

What is the difference between Part Time Remote Data Science vs Part Time Remote Data Analysis?

AspectPart Time Remote Data SciencePart Time Remote Data Analysis
Required CredentialsBachelor's or higher in Data Science, Statistics, or related fields; sometimes certifications in machine learning or data analysisBachelor's in Data Analysis, Statistics, or related fields; certifications in Excel, SQL, or data visualization tools
Work EnvironmentRemote, project-based, often involves coding, modeling, and algorithm developmentRemote, focuses on interpreting data, creating reports, and visualizations
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, business consulting, retail, finance

Part Time Remote Data Science involves more technical skills like machine learning and programming, while Part Time Remote Data Analysis emphasizes interpreting data and creating reports. Both roles are remote and part-time but differ in technical complexity and focus areas.

What is a part time remote data science job?

A part time remote data science job involves working with data to analyze, interpret, and generate insights for organizations, but on a flexible, reduced hour schedule and entirely from a remote location. Typical tasks may include data cleaning, statistical analysis, building machine learning models, and creating data visualizations. These roles are ideal for individuals seeking work-life balance, students, or professionals looking to supplement their income while working from home. Employers often require proficiency in programming languages like Python or R, experience with data tools, and strong analytical skills.

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

To thrive as a Part Time Remote Data Scientist, you need a solid understanding of statistics, programming (typically Python or R), and data analysis, usually reinforced by a degree in a relevant field or equivalent work experience. Familiarity with tools such as SQL, Jupyter Notebooks, and machine learning libraries like scikit-learn or TensorFlow, as well as version control systems like Git, is commonly expected. Strong problem-solving skills, effective communication, and self-motivation are crucial for managing projects independently and collaborating remotely. These skills enable you to deliver actionable insights and value to organizations while maintaining productivity and accountability in a flexible, remote environment.
More about Part Time Remote Data Science jobs
What cities are hiring for Part Time Remote Data Science jobs? Cities with the most Part Time Remote Data Science job openings:
What are the most commonly searched types of Remote Data Science jobs? The most popular types of Remote Data Science jobs are:
What states have the most Part Time Remote Data Science jobs? States with the most job openings for Part Time Remote Data Science jobs include:
What job categories do people searching Part Time Remote Data Science jobs look for? The top searched job categories for Part Time Remote Data Science jobs are:
Part Time Remote Data Science jobs near you
Infographic showing various Part Time Remote Data Science job openings in the United States as of July 2026, with employment types broken down into 100% Part Time. Highlights an 100% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
HR Generalist (Remote, Part-Time, Contract)

HR Generalist (Remote, Part-Time, Contract)

Huckleberry Labs

Los Angeles, CA • Remote

$55 - $75/hr

Part-time

Posted 23 days ago

Job description

About Huckleberry

At Huckleberry, our purpose is simple yet powerful: to build life-changing products and experiences that help all families unlock everyday magic.

Today, more than 5 million families trust Huckleberry and our app to be their partner through parenthood. Real pediatric expertise works hand-in-hand with data science, AI, and behavioral science to provide support behind-the-scenes that guides every parent through their unique journey. 

We believe every family should feel taken care of—which is why we’re growing quickly and expanding our product offerings to help every family thrive.

About the Role

We’re looking for an experienced HR Generalist to join Huckleberry on a part-time contract basis (10 - 20 hours per week, 1099). This is a dual-hat role that blends traditional HR with people operations, ideal for someone who is equally comfortable navigating legal compliance as they are designing the systems and processes that shape how teams work, grow, and thrive.

You’ll help keep our people practices grounded, fair, and forward-thinking. From owning our performance feedback cycle end-to-end to handling sensitive employee relations with discretion and care, you will build the infrastructure that enables Huckleberry’s team to do their best work.

This is a high-impact role for someone who loves operational detail, thinks in systems rather than one-offs, and brings a calm, level-headed approach when navigating complexity.

Areas of Responsibility

People Operations & Employee Experience

  • Run the rollout and ongoing management of performance feedback cycles, including building the process, managing all communications, tracking completion, and facilitating follow-ups.

  • Foster a culture of growth, collaboration, and innovation, aligned with Huckleberry’s values.

  • Partner with team managers to set up systems that make team development consistent and effective, ensuring managers are equipped to lead performance conversations.

  • Support employee engagement by identifying patterns, surfacing root causes, and proactively recommending improvements to how the team works together.

HR Compliance & Employee Relations

  • Serve as a trusted, confidential resource for employee relations issues by listening with empathy, establishing the facts, investigating professionally, and guiding all parties toward constructive, amicable resolutions.

  • Ensure all HR practices and policies are legally compliant with federal and state laws, including multi-state employee and contractor compliance.

  • Manage performance management processes as a compliance and development tool, ensuring documentation and practices meet legal standards.

  • Navigate HR issues with composure and sound judgment, serving as a stabilizing guide through challenging situations.

  • Maintain and improve HR processes and records that are accurate, organized, and compliant. Attention to detail is key.

Requirements

  • 5+ years of HR experience spanning both traditional HR and people operations functions.

  • Demonstrated expertise in employee relations: tactful, a strong listener, respectful of confidentiality, and skilled at de-escalating situations while identifying root causes.

  • Solid understanding of HR legal compliance across multiple U.S. states, including employee and contractor classification.

  • Systems thinker: you build processes and frameworks rather than making reactive, one-off decisions. You use first-principles thinking to get to the root of performance issues and design for lasting impact.

  • Proven ability to own a project end-to-end from system design through communication, rollout, and follow-up.

  • Crisis management capability: you stay level-headed under pressure and know how to guide an organization through HR challenges in a compliant, professional manner.

  • Exceptional attention to detail and strong organizational skills.

  • Comfortable operating independently in a part-time, remote, contract capacity.

Nice to Have

  • Working knowledge of employer benefits administration—including annual open enrollment periods, sign-up processes, and employee communication—without necessarily owning vendor negotiations.

  • Experience supporting a high-growth startup or consumer app company.

  • Familiarity with HRIS or people ops tools.

  • Background in building or scaling HR functions from the ground up.

  • SHRM certification (SHRM-CP, SHRM-SCP) or equivalent HR certification preferred.
Huckleberry Labs is an equal-opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.

Huckleberry Labs makes hiring decisions based solely on qualifications, merit, and business needs at the time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.