ZipRecruiter

Log In

2

Part Time Data Scientist Jobs in Evanston, IL (NOW HIRING)

Bank of Montreal

Principal Data Scientist

Chicago, IL · On-site

$122.40K - $228K/yr

Collaborates with data scientists and other stakeholders to understand data and modeling needs and ... Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For ...

DePaul

Adjunct Faculty in Data Science

Chicago, IL · On-site

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 ...

Chicago Public Schools

Senior Data Analyst

Chicago, IL · On-site

$76K - $100.50K/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 ...

Chicago Public Schools

Senior Data Analyst

Chicago, IL · On-site

$88.60K - $111.80K/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 ...

next page

Showing results 1-20

People also search for

All JobsPart Time Data Scientist JobsPart Time Data Scientist Jobs in Evanston, IL

Part Time Data Scientist information

See Evanston, IL salary details

$36K

$117.8K

$188.6K

How much do part time data scientist jobs pay per year?

As of May 28, 2026, the average yearly pay for part time data scientist in Evanston, IL is $117,787.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $130,500.00 per year, depending on experience, location, and employer.

What Does a Part Time Data Scientist Do?

A part-time data scientist’s skills and responsibilities are very similar to those of a data analyst. Like a data analyst, you have to collect and review company or industry data and then perform an analysis based on a business question the company wants to answer. You share this information with other parts of the enterprise. Where data scientists’ duties are different is that you use past data to build machine learning models. These machine learning models make predictions, and the goal is to identify trends that lead to a more thorough understanding of the business and its customers.

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, proficiency in statistics, and experience with data modeling, typically supported by a degree in a quantitative field. Familiarity with tools like Python, R, SQL, and data visualization platforms, as well as knowledge of machine learning libraries, is often required. Excellent problem-solving, time management, and communication skills help you effectively deliver insights and collaborate despite reduced hours. These skills ensure you can provide high-impact, actionable analyses efficiently within a limited work schedule.

How does working part-time as a data scientist typically impact project involvement and collaboration with full-time team members?

As a part-time data scientist, you may be assigned to specific projects or tasks that fit within your available hours, often focusing on defined deliverables or analytical support roles. Collaboration with full-time colleagues is common, usually through regular meetings, shared documentation, and communication tools to ensure alignment. It's important to clearly communicate your schedule and capacity, as timely updates and hand-offs help maintain project momentum. While you might not be involved in every stage of a project, your specialized contributions are highly valued, and many organizations foster flexible, inclusive environments to integrate part-time professionals effectively.

What is a part time data scientist?

A part time data scientist is a professional who applies statistical analysis, machine learning, and data processing skills to extract insights from data, but works fewer hours than a full-time employee—typically under 35 hours per week. Part time data scientists may work for one or more companies, often on flexible schedules or as contractors. Their responsibilities can include data cleaning, building predictive models, and presenting data-driven insights to help organizations make informed decisions. This role is ideal for those seeking work-life balance, students, or professionals looking to supplement their income.

What is the difference between Part Time Data Scientist vs Data Analyst?

AspectPart Time Data ScientistData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldBachelor's degree in Data Analysis, Statistics, or related field
Work EnvironmentFlexible hours, project-based, often remoteOffice or remote, regular hours, structured projects
Employer & Industry UsageTech companies, startups, consulting firmsBusiness, finance, marketing, healthcare
Common Search & ComparisonPart Time Data Scientist vs Data Analyst

Part Time Data Scientists focus on advanced analytics, machine learning, and modeling, often requiring higher technical skills and specialized knowledge. Data Analysts typically handle data cleaning, reporting, and visualization. While both roles analyze data, Part Time Data Scientists work on complex models and predictive analytics, whereas Data Analysts focus on descriptive insights. The choice depends on your skills and career goals within data roles.

More about Part Time Data Scientist jobs
What are the most commonly searched types of Data Scientist jobs in Evanston, IL? The most popular types of Data Scientist jobs in Evanston, IL are:
What are popular job titles related to Part Time Data Scientist jobs in Evanston, IL? For Part Time Data Scientist jobs in Evanston, IL, the most frequently searched job titles are:
What job categories do people searching Part Time Data Scientist jobs in Evanston, IL look for? The top searched job categories for Part Time Data Scientist jobs in Evanston, IL are:
What cities near Evanston, IL are hiring for Part Time Data Scientist jobs? Cities near Evanston, IL with the most Part Time Data Scientist job openings:
Part Time Data Scientist jobs near you
Infographic showing various Part Time Data Scientist job openings in Evanston, IL as of May 2026, with employment types broken down into 100% Part Time. Highlights an 87% In-person, 2% Hybrid, and 11% Remote job distribution, with an average salary of $117,787 per year, or $56.6 per hour.
Principal Data Scientist

Principal Data Scientist

Bank of Montreal

Chicago, IL • On-site

$122.40K - $228K/yr

Full-time, Part-time

Medical, Life, Retirement

Posted 8 days ago

Job description

Application Deadline:
Address:
320 S Canal Street
Job Family Group:
Data Analytics & Reporting
The role is hybrid based in our Chicago office.
Job Description
Uses advanced analytical algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to mine and analyze large sets of structured and unstructured data to obtain insights. Designs and constructs new processes for modeling data. Develops predictive models and leverages big data technology to design solutions that deliver smarter business decisions, improve customer experience, and drive productivity. Collaborates with other data and analytics professionals and teams to optimize, refine and scale analysis into mature analytics solutions.
  • Plays an active role in the futuristic display of data, and advancement of innovative data strategies to understand consumer trends and address business problems.
  • Collaborates with the product team and partners to understand and provide data-driven decision making, business planning and future roadmap.
  • Collaborates with data scientists and other stakeholders to understand data and modeling needs and develop solutions that meet those needs.
  • Designs, builds, and maintains large-scale data pipelines for reporting, analysis and machine leaning/deep leaning models.
  • Conducts large-scale analysis of information to discover patterns and trends by combining different modules and algorithms.
  • Develops machine learning/deep learning models. Investigates additional technologies and tools for developing innovative data solutions for business stakeholders.
  • Uses analysis to provide recommendations and advice for business leaders to maintain to maintain market competitiveness.
  • Fosters a culture aligned to BMO purpose, values and strategy and role models BMO values and behaviours in all that they do.
  • Ensures alignment between values and behaviours that fosters diversity and inclusion.
  • Regularly connects work to BMO's purpose, sets inspirational goals, defines clear expected outcomes, and ensures clear accountability for follow through.

Qualifications:
Advanced level of proficiency:
  • Advanced degree (PhD preferred) in Data Science, Statistics, Applied Mathematics, Economics, or related quantitative field.
  • 5+ years of data science experience.
  • In-depth knowledge in machine learning and deep learning models, such as but not limited to, XGboosting, LSTM and LLM etc.
  • Data visualization and polished communication skills.
  • Self-driven problem solver; able to adapt and thrive in a dynamic, ambiguous, and customer-focused environment.
  • Highly analytical, technically proficient, and able to learn new tools and ML models quickly.
  • Trust, bias and ethics.
  • Collaboration & team skills; with a focus on cross-group collaboration.
  • Able to manage ambiguity.
  • Data driven decision making.
  • Experience with GenAI LLM models
  • Experience with MLOps, building workflows for model retraining, monitoring and deploying
  • Experience with ML frameworks such as TensorFlow, PyTorch
  • Experience with cloud-based data platforms such as AWS or Azure
  • Experience with data visualization tools such as Power BI

Salary:
$122,400.00 - $228,000.00
Pay Type:
Salaried
The above represents BMO Financial Group's pay range and type.
Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group's expected target for the first year in this position.
BMO Financial Group's total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards
About Us
At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.
As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one - for yourself and our customers. We'll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we'll help you gain valuable experience, and broaden your skillset.
To find out more visit us at http://jobs.bmo.com/us/en
BMO is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law.
BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to BMOCareers.Support@bmo.com and let us know the nature of your request and your contact information.
Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.
BMO logo

About BMO

Sourced by ZipRecruiter

BMO, or Bank of Montreal, is one of the biggest multinational banking and financial services corporations in North America. Developed in 1817, BMO's American headquarters are located ideally in Chicago, Illinois while its main world headquarters are situated in Montreal. The bank operates in a multitude of sectors including personal and commercial banking, wealth management and investment banking products and solutions. Over the years, BMO has been recognized for its commitment to doing what's right for its customers, employees, and society.

Industry

Banking and credit intermediation

Company size

5,001 - 10,000 Employees

Headquarters location

Chicago, IL, US

Social media

FacebookTwitter

View All BMO Jobs

Apply