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Part Time Data Science information

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$9

$45

$109

How much do part time data science jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for part time data science in Milwaukee, WI is $45.79, according to ZipRecruiter salary data. Most workers in this role earn between $15.01 and $68.02 per hour, depending on experience, location, and employer.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables or tasks to improve model performance efficiently.

What Are Part-Time Data Science Jobs?

Part-time data science jobs focus on the collection, analysis, and manipulation of data sets. In this role, you can either work for one employer or freelance on a per-project basis. As a data scientist or data analyst, you mine and analyze information. Your duties also include using statistics and math on the data sets to develop algorithms and models that perform specific processes or aid with your employer’s decision-making. Machine learning engineers use data to create algorithms that help computers and machines process information in structured and unstructured environments and make decisions or take actions based on the data.

What is a part-time data science job?

A part-time data science job involves working fewer hours than a full-time data scientist, typically less than 40 hours per week. Part-time data scientists perform many of the same tasks as their full-time counterparts, such as analyzing data, building models, and generating insights to help organizations make data-driven decisions. These roles are ideal for students, professionals seeking additional income, or those looking for flexible work arrangements. Part-time positions may be project-based or ongoing, and can be found in various industries including tech, healthcare, finance, and retail.

Is 40 too late for data science?

Part time data science roles are accessible at any age, including at 40, provided you have relevant skills such as programming, statistics, and experience with tools like Python or R. Many professionals transition into data science later in their careers, and continuous learning through online courses or certifications can enhance your prospects regardless of age.

How do part-time data science roles typically structure team collaboration and project ownership?

In part-time data science positions, collaboration is often facilitated through regular virtual meetings, shared project management tools, and clear documentation. Part-time data scientists usually work on specific projects or components, such as data cleaning, exploratory analysis, or building models, while maintaining close communication with full-time team members and stakeholders. This structure allows for flexibility but also requires strong self-management and proactive updates to ensure alignment with the broader team's objectives. Many organizations use agile methodologies to assign tasks and track progress, making it easier for part-time contributors to integrate their work seamlessly.

Will AI replace data scientists?

AI is transforming the role of data scientists by automating routine tasks like data cleaning and basic analysis, but it does not eliminate the need for human expertise in interpreting results, designing models, and making strategic decisions. Data scientists with skills in programming, statistical analysis, and machine learning remain essential for developing and managing AI systems. The profession is evolving to include more focus on complex problem-solving, domain knowledge, and ethical considerations.

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

To thrive as a Part Time Data Scientist, you need strong analytical skills, statistical knowledge, and proficiency in programming languages like Python or R, often supported by a degree in a quantitative field. Familiarity with data analysis tools, machine learning libraries, and platforms such as SQL, Jupyter, or Tableau is typically required. Effective communication, time management, and problem-solving abilities help you deliver impactful insights within limited hours. These skills ensure you can efficiently analyze data, present findings clearly, and drive value for organizations even with part-time commitment.

Can you work part-time as a data scientist?

Yes, data science is a field that offers part-time opportunities, especially for freelance or contract roles. These positions often require skills in programming, statistics, and tools like Python or R, and may have flexible schedules to accommodate part-time work arrangements.
More about Part Time Data Science jobs
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Part Time Data Science jobs near you
Part-Time Water Management Equipment Technician

Part-Time Water Management Equipment Technician

Phigenics

Milwaukee, WI • Remote

Part-time

Re-posted 15 days ago

Job description

Salary:

Part-Time Water Management Equipment Technician

Location: Milwaukee, WI


Company Summary:

Phigenics provides independent expert guidance and advanced technologies to our clients to improve the efficiency, effectiveness, and overall safety of water systems. Our clients include a diverse mix of industry leaders in healthcare, hospitality, government, higher education, retail, and manufacturing facilities. Phigenics does not sell water treatment chemicals and is not biased toward any treatment technology or supplier.


Position Summary:

Phigenics is seeking a candidate with a flexible schedule interested in working30-40 hours per month.Water Management Equipment Technicians (WMETs) will report to the Director of Field Services and provide service and account management support for clients in a region.Water Management Equipment Technicianservices existing clients by taking water tests, maintaining equipment, and assisting in maintaining Comprehensive Water Management Programs by analyzing microbiological and water chemistry data and responding quickly, professionally, and accurately to client requests. WMETs may be asked to perform minor maintenance on water monitoring equipment, take on-site readings via testing instruments (i.e., chlorine, temperature, and pH readings), and collect building water samples to be sent to a lab for cultures.Once fully trained, the employee may be expected to mentor or train peers to ensure consistent knowledge sharing and team development.Candidates must live in or near Milwaukee, WI.


Skills and Qualifications:

  • Background in science, engineering, or mathematics preferred
  • Ability to learn how to use equipment that measures pH, temperature, and residual oxidant in water
  • Excellent interpersonal, verbal, and written communication skills
  • Excellent presentation and facilitation skills
  • Self-motivated and directed. "Can do" attitude
  • Strong desire to learn new concepts
  • Demonstrate commitment to high ethical standards and a diverse workplace
  • Ability to adapt to a fast-paced, continually changing business and work environment while managing multiple priorities
  • Understand and use MS Office, Gmail, and various Google applications


Work Environment / Travel

Position requires traveling to client sites in a region, servicing equipment, and collecting water samples. Some overnight travel might be involved.Driving radius as much as 3 hours once per month, but typically within one hour of Milwaukee.Mileage reimbursement is available.The wearing of PPE is sometimes required. The position often requires a great deal of walking around client sites, may include climbing stairs or ladders, and may require lifting up to 25 pounds. May provide occasional support in other regions.


**Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.


**Phigenics LLC is an Equal Opportunity Employer that does not discriminate based on actual or perceived race, creed, color, religion, alien age or national origin, ancestry, citizenship status, age, disability or handicap, sex, marital status, veteran status, sexual orientation, arrest record, or any other characteristic protected by applicable federal, state or local laws. 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.