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Part Time Data Science Jobs in Chicago, IL (NOW HIRING)

Adjunct Faculty in Data Science Full-time Faculty Positions Full-time faculty positions will be ... Part-time Faculty Positions DePaul University invites expressions of interest for a pool of ...

Principal Data Scientist

Chicago, IL · On-site

$122K - $228K/yr

Advanced degree (PhD preferred) in Data Science, Statistics, Applied Mathematics, Economics, or ... Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For ...

Senior Data Analyst

Chicago, IL · On-site

$76K - $100K/yr

... with data scientists on the development and implementation of AI/ML models. Prepare and analyze ... The Chicago residency requirement does not apply to temporary/part-time positions, however, all CPS ...

Senior Data Analyst

Chicago, IL · On-site

$88K - $111K/yr

... with data scientists on the development and implementation of AI/ML models. Prepare and analyze ... The Chicago residency requirement does not apply to temporary/part-time positions, however, all CPS ...

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Part Time Data Science information

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 Chicago, IL? The most popular types of Data Science jobs in Chicago, IL are:
What are popular job titles related to Part Time Data Science jobs in Chicago, IL? For Part Time Data Science jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Part Time Data Science jobs in Chicago, IL look for? The top searched job categories for Part Time Data Science jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Part Time Data Science jobs? Cities near Chicago, IL with the most Part Time Data Science job openings:
Infographic showing various Part Time Data Science job openings in Chicago, IL as of July 2026, with employment types broken down into 100% Part Time. Highlights an 83% In-person, and 17% Remote job distribution.
Director Artificial Intelligence & Data Science

Director Artificial Intelligence & Data Science

Alliant Credit Union

Chicago, IL • On-site, Remote

$167K - $287K/yr

Full-time, Part-time

Re-posted 2 days ago


Job description

Responsible enterprise leader for defining and executing the organization’s AI, advanced analytics, and data science strategy. Bridges business strategy, advanced analytics, and AI platform enablement to deliver measurable business outcomes, optimize decision-making, and drive responsible AI adoption at scale. Lead cross-functional teams to design, build, and operationalize advanced analytics models and enterprise AI platforms while ensuring alignment with regulatory requirements, governance standards, and ethical AI principles. Foster a data-driven culture and position the organization to maximize value from AI and analytics investments.

Essential Responsibilities

  • Define and execute the enterprise strategy for AI enablement, data science, and advanced analytics.
  • Translate business priorities into scalable AI, analytics, and platform roadmaps with clear outcomes.
  • Lead the design, implementation, and optimization of enterprise AI platforms, including MLOps/LLMOps capabilities.
  • Own the “Industrial” Use Case portfolio (i.e., large enterprise-grade AI use cases), including intake, prioritization, roadmap, execution, and value realization across enterprise AI and advanced analytics initiatives.
  • Lead decision science efforts spanning predictive modeling, optimization, experimentation, and decision strategy to improve business performance, risk outcomes, and operational efficiency.
  • Establish and scale reusable frameworks, standards, and tools to enable responsible AI adoption.
  • Deliver actionable insights and recommendations through data storytelling and visualization to influence decision-making.
  • Ensure compliance with Alliant’s governance, regulatory, legal, privacy, and ethical AI requirements across solutions.
  • Partner with technology, data, risk, and business leaders to align AI and analytics initiatives with enterprise goals.
  • Drive adoption and value realization of AI and analytics solutions across the organization.
  • Establish and track KPIs to measure platform performance, model effectiveness, and business impact.
  • Evaluate and manage AI technologies, tools, and vendor partnerships.
  • Foster a culture of innovation, continuous learning, and enterprise-wide data and AI maturity.
  • Plan, oversee and lead the work of the team to meet functional and individual operational objectives and goals. Coach, mentor, and develop staff, including overseeing new employee onboarding and providing career development planning and opportunities. Responsible for hire, fire, performance, discipline and problem-resolution decisions.

Education & Years of Experience

  • Minimum - 4 Year Bachelors Degree in Computer Science, Data Science, Engineering, Finance Data or related
  • Preferred - Graduate Degree in Computer Science, Data Science, Engineering, Finance Data or related
  • Minimum - 10 Years of AI, data science, analytics, technology leadership role or related
  • Minimum - 5 Years of People Management

In Lieu of Education

  • 15 Years of AI, data science, analytics, technology leadership role including people management

Compensation & Benefits:

Typical hiring range:‏‏‎ ‎ $167,700.00 to $287,500.00‎ Annually. Actual compensation will be determined using factors such as experience, skills & knowledge.

Benefits: Alliant provides a benefits package including health care, vision, dental, and 401k with employer match including:

  • Annual performance bonus
  • Work from home up to 3 days a week
  • Paid parental leave
  • Employee discount programs
  • Time off including paid personal and sick days
  • 11 paid holidays
  • Education reimbursement

*Note that eligibility and cost of benefits can vary depending on the number of regularly scheduled hours, and job status such as regular full-time, regular part-time, or temporary employment.

Adhere to and ensure compliance of all business transactions with policy and process of the Bank Secrecy Act. Ensures compliance with all applicable state and federal laws, company procedures and policies. Maintains integrity and ethics in all actions and conversations with or regarding credit union members and their accounts; complies with Privacy Act directives.

The responsibilities listed do not contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this position. Duties, responsibilities and activities may change at any time with or without notice.