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Part Time Data Science Jobs in Alabama (NOW HIRING)

Intern

Daphne, AL

$14.50 - $19/hr

Position Overview Thompson Engineering is seeking a motivated Part-Time Intern to join our team ... As an intern, you will support engineers, scientists, and project managers on a variety of projects ...

Intern

Daphne, AL

$14.50 - $19/hr

Position Overview Thompson Engineering is seeking a motivated Part-Time Intern to join our team ... As an intern, you will support engineers, scientists, and project managers on a variety of projects ...

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Part Time Data Science information

See Alabama salary details

$7

$39

$95

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

As of Jul 7, 2026, the average hourly pay for part time data science in Alabama is $39.69, according to ZipRecruiter salary data. Most workers in this role earn between $13.01 and $58.95 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.
What are the most commonly searched types of Data Science jobs in Alabama? The most popular types of Data Science jobs in Alabama are:
What are popular job titles related to Part Time Data Science jobs in Alabama? For Part Time Data Science jobs in Alabama, the most frequently searched job titles are:
Intern

$14.50 - $19/hr

Part-time

Posted 13 days ago


Job description

Position Overview

Thompson Engineering is seeking a motivated Part-Time Intern to join our team. This position is designed for students currently pursuing a degree in engineering, construction, environmental sciences, or a related field who are interested in gaining hands-on experience across multiple disciplines.

As an intern, you will support engineers, scientists, and project managers on a variety of projects spanning civil engineering, environmental services, transportation, construction, and field services. This role provides exposure to both office-based technical work and field activities, offering a well-rounded introduction to the engineering consulting industry.


Areas of Exposure

Interns may gain experience in one or more of the following areas:

  • Civil Engineering
  • Environmental Engineering & Sciences
  • Transportation Engineering
  • Architectural & Building Sciences
  • Construction Engineering & Inspection (CEI)
  • Field Services & Materials Testing
  • Program & Project Management

Key ResponsibilitiesTechnical & Project Support
  • Assist with basic technical tasks, calculations, and data analysis
  • Support preparation of reports, plans, specifications, and documentation
  • Utilize software tools, spreadsheets, and other technologies to complete assignments

Field Work & Site Support
  • Participate in site visits to observe and document existing conditions
  • Assist with field data collection, construction inspections, and material sampling
  • Support testing and documentation for materials and field services activities

Project Coordination
  • Help track project progress, documentation, and deliverables
  • Assist with organizing project files, data, and reports
  • Support communication between team members and project stakeholders

Learning & Development
  • Gain exposure to industry standards, safety practices, and quality procedures
  • Work alongside experienced professionals across multiple disciplines
  • Ask questions, seek feedback, and actively contribute to team efforts

QualificationsMinimum Requirements
  • Currently enrolled in a Bachelor's degree program in Engineering, Construction Management, Environmental Sciences, or a related field
  • Strong interest in engineering consulting and infrastructure projects
  • Basic understanding of engineering or construction principles
  • Strong communication, organizational, and problem-solving skills

Preferred Qualifications
  • Prior internship, coursework, or exposure to any of the listed disciplines
  • Familiarity with Microsoft Office (Excel, Word) and basic technical software
  • Willingness to work both in an office setting and in the field

Work Schedule & Physical Requirements
  • Part-time schedule (flexible hours based on academic commitments)
  • Ability to work outdoors in varying conditions and navigate uneven terrain
  • Ability to lift light materials and perform field-related tasks as needed
  • Valid driver's license preferred for travel to project sites