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Part Time Data Science information

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$43

$105

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

As of Jun 24, 2026, the average hourly pay for part time data science in Indiana is $43.99, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $65.35 per hour, depending on experience, location, and employer.

What do you mean by part?

In a part-time data science role, the position involves working fewer hours than a full-time job, often on a flexible schedule. It typically requires skills in data analysis, programming, and tools like Python or R, and may be suitable for students or professionals seeking additional work experience.

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.

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.

What is the synonym of part?

In the context of a part-time data science role, the word 'part' is synonymous with 'partial' or 'segment,' indicating a role with fewer hours or responsibilities compared to full-time positions. Such roles often require skills in data analysis, programming, and familiarity with tools like Python or R, and may offer flexible schedules.

What word part means renal pelvis?

In anatomy, the term 'pelvis' refers to the renal pelvis, which is the part of the kidney that collects urine before it moves to the ureter. Understanding anatomical terminology is useful for data scientists working with medical data or developing health-related models. Knowledge of medical terminology can aid in accurate data labeling and analysis.

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.
More about Part Time Data Science jobs
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What job categories do people searching Part Time Data Science jobs in Indiana look for? The top searched job categories for Part Time Data Science jobs in Indiana are:
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Part Time Data Science jobs near you
Part-Time Physical Therapy Assistant

Part-Time Physical Therapy Assistant

Examinetics Inc

Griffith, IN • On-site

$25.25 - $33.25/hr

Part-time

This job post has expired today. Applications are no longer accepted.

Job description

Examinetics is hiring a Physical Therapy Assistant to join our growing team! This is a part-time position located at our corporate office in Griffith, IN. This role focuses on proactive injury prevention, workplace performance optimization, and early musculoskeletal intervention within industrial and corporate work environments. You will work directly with employers and employees to reduce injury risk, improve movement efficiency, and support safe return-to-work strategies—making measurable impact at both the individual and organizational levels.


Primary Responsibilities:

  • Design individualized stretching and corrective exercise programs.
  • Provide early intervention strategies for minor musculoskeletal complaints.
  • Instruct employees on safe application of heat, ice, taping, and non-rigid bracing.
  • Assist with post-offer employment testing and functional assessments.
  • Conduct onsite ergonomic evaluations across manufacturing, industrial, and corporate settings.
  • Perform job demand analysis, posture analysis, and video task analysis.
  • Identify movement inefficiencies and injury risk factors.
  • Recommend practical, evidence-based ergonomic and workflow improvements.
  • Deliver hands-on training in lifting mechanics, pushing/pulling strategies, and material handling.
  • Collaborate with safety teams to develop proactive injury prevention initiatives.
  • Meet with clients to assess operational needs and support program planning.
  • Contribute to continuous improvement initiatives that elevate employee health and safety outcomes.

Qualifications:

Education and/or Experience:

  • Minimum two years of outpatient orthopedic experience.
  • Has a strong orthopedic foundation and clinical reasoning skills.
  • Enjoys problem-solving in dynamic, real-world environments.
  • Is interested in career growth within ergonomics and occupational health.
  • Experience or strong interest in ergonomics, injury prevention.
  • Background in occupational health, athletic training, kinesiology, or exercise science preferred.

Certifications, Licenses, Registrations:

  • Active and unrestricted Physical Therapist Assistant license in applicable state(s).
  • CEAS, industrial ergonomics, or related certifications preferred.

Skills & Abilities:

  • Strong musculoskeletal assessment, movement analysis, and orthopedic rehabilitation knowledge.
  • Effective verbal and written communication skills with employees, leadership, and diverse audiences.
  • Ability to build professional relationships with clients, safety teams, and employees.
  • Ability to work independently and manage time across multiple client sites.
  • Strong clinical judgment, problem-solving, and critical thinking skills.
  • Ability to identify ergonomic risks and recommend practical, evidence-based solutions.
  • Proficiency with documentation systems and basic technology tools.
  • Proactive, prevention-focused mindset.


About Examinetics

Examinetics is the nation’s leading provider of occupational health solutions through onsite, near site, and technology platforms. Our comprehensive suite of occupational health services across the employee health lifecycle delivers strategic value to more than 3,500 clients in over 20,000 locations annually. Leading companies partner with Examinetics to achieve regulatory compliance, minimize productivity loss, and acquire vital data required for optimal health outcomes.


Non-Discrimination:

Examinetics is proud to be an equal employment opportunity employer. We celebrate diversity and do not discriminate based on race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability status, or any other applicable characteristics protected by law.