3

Part Time Remote Data Science Jobs in Indiana (NOW HIRING)

Fractional Chief Technology Officer (CTO) Part-Time / Fractional | 10-30 Hours Per Week | Remote ... Ensure environments follow appropriate data privacy and security standards Product & Engineering ...

Commercial Counsel

Fort Wayne, IN · Remote

$80 - $105/hr

Remote Job Summary: We are seeking seasoned in-house transactional attorneys for a part-time role ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

Commercial Counsel

Indianapolis, IN · Remote

$80 - $105/hr

Remote Job Summary: We are seeking seasoned in-house transactional attorneys for a part-time role ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

next page

Showing results 1-20

Part Time Remote Data Science information

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.
What are the most commonly searched types of Remote Data Science jobs in Indiana? The most popular types of Remote Data Science jobs in Indiana are:

Work From Home - Part-Time Sales Representative

AO Garcia Agency

South Bend, IN • On-site, Remote

Part-time

Posted 9 days ago


Job description

What could an extra $1,000-$2,000 each month do for your household? Qualified candidates are wanted for the chance to enter financial services on a part-time basis while working fully remotely. This means that you get all the earning potential of a trillion-dollar industry without having to give up the security of your current position. Pay off your house early, take the vacations your family deserves, or save for early retirement. 20 hours per week, from home, is all it takes to learn a new skill that could change everything?
Through providing personalized benefits solutions, you'll be the architect of your client's security tomorrow. In this role, you can expect to:
• Converse virtually with clients, weaving financial strategies that empower.
• Cultivate client bonds that stand the test of time.
• Ride the crest of industry trends, fortifying your knowledge.
• Work alongside a dynamic remote team, where collaboration is the heartbeat of success.
Perks Include:
• Work virtually, from anywhere
• Comprehensive training provided
• A fun, energetic, and positive team environment
• Rapid career growth and advancement opportunities
• Weekly pay
• Residual Income
Responsibilities:
• Calling and receiving calls from clients
• Scheduling appointments with clients who request our benefits
• Presenting and explaining insurance products and benefits packages virtually
• Completing applications for insurance products
• Attending ongoing, optional training sessions
*All interviews will be conducted via Zoom video conferencing
(Global Elite Empire Consultants is a third-party recruiter, not an insurance agency)
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.