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Data Science Manager Remote Jobs in Wauconda, IL

Advanced degree (Master's with 2+ years experience or equivalent) in data science, bioinformatics ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

Driven by data science and powered by machine learning, our offering analyzes officer performance ... Capable of managing multiple concurrent tasks and projects while meeting deadlines and working ...

Remote As a Senior Lead, Data Engineering, you will serve as a technical leader who helps shape the ... Bachelor's degree in Computer Science, Data Engineering, Data Science, Information Systems ...

Bachelor's degree or higher - Quantitative field such as Computing Science, Statistics, Mathematics ... Working hours are flexible and remote work is encouraged. We are an equal opportunity employer and ...

Data Engineer

Chicago, IL

$118K - $141K/yr

This person will be responsible for building and managing an array of data acquisition services ... Sc. in Computer Science, Engineering, or related field.

Data Scientist

Chicago, IL · On-site +1

$90K - $130K/yr

Communicate concise and actionable business strategies to senior management Ideal Candidate Will ... Remote first culture with convenient downtown office in the heart of the city IMPORTANT NOTICE:

Data Scientist

Chicago, IL · On-site +1

$90K - $130K/yr

Communicate concise and actionable business strategies to senior management Ideal Candidate Will ... Remote first culture with convenient downtown office in the heart of the city IMPORTANT NOTICE:

Showing results 21-40

Data Science Manager Remote information

See Wauconda, IL salary details

$29.3K

$91.7K

$162.3K

How much do data science manager remote jobs pay per year?

As of Sep 2, 2026, the average yearly pay for data science manager remote in Wauconda, IL is $91,687.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,300.00 and $118,400.00 per year, depending on experience, location, and employer.

What does a data science manager do?

A remote Data Science Manager oversees a team of data scientists, analysts, and engineers, ensuring that data-driven projects are successfully executed from a remote location. Their responsibilities include managing project timelines, providing technical guidance, mentoring team members, and aligning data initiatives with business goals. They also coordinate with other departments to implement data solutions, ensure data quality, and communicate results to stakeholders. Working remotely, they use digital tools to collaborate, monitor progress, and maintain team productivity.

What are the key skills and qualifications needed to thrive as a data science manager?

To thrive as a Data Science Manager in a remote setting, you need a robust background in statistics, programming (e.g., Python, R), machine learning, and a related degree, often supplemented by experience leading data teams. Familiarity with data analytics tools like SQL, cloud platforms (AWS, Azure), and project management software is typically required, along with certifications such as Certified Data Scientist or PMP. Strong leadership, communication, and collaboration skills are essential for managing distributed teams and aligning projects with business goals. These skills ensure effective project delivery, foster innovation, and maintain team cohesion in a virtual work environment.

How does a data science manager typically collaborate with cross-functional teams?

As a remote Data Science Manager, effective collaboration with cross-functional teams—such as engineering, product, and business stakeholders—relies heavily on clear communication and efficient use of digital tools. Regular virtual meetings, project management platforms, and shared documentation are essential to align on objectives, share progress, and troubleshoot challenges. Building trust and fostering a culture of transparency helps ensure that remote data science teams stay connected and engaged with broader organizational goals, despite not sharing a physical workspace.

What is the difference between Data Science Manager Remote vs Data Analyst Remote?

AspectData Science Manager RemoteData Analyst Remote
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related field; experience with machine learning and leadershipBachelor's in Data Analysis, Statistics, or related field; proficiency in data visualization and SQL
Work EnvironmentLeads data science teams, manages projects, and develops models remotelyAnalyzes data, prepares reports, and supports decision-making remotely
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceMarketing agencies, retail, finance, and consulting firms

The main difference is that Data Science Managers oversee data science teams and projects, requiring leadership skills and advanced technical knowledge, while Data Analysts focus on analyzing data and generating reports. Both roles can be remote and are in high demand across various industries.

What cities near Wauconda, IL are hiring for Data Science Manager Remote jobs?

Cities near Wauconda, IL with the most Data Science Manager Remote job openings:

Infographic showing various Data Science Manager Remote job openings in Wauconda, IL as of August 2026, with employment types broken down into 82% Full Time, 17% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $91,687 per year, or $44.1 per hour.

$24.04 - $31.25/hr

Full-time

Medical, Retirement, PTO

Re-posted 5 days ago


University Of Chicago rating

8.1

Company rating: 8.1 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

170th of 628 rated colleges and universities


Job description

Department
BSD PSY - Lyons Lab
About the Department
To transform mental health through compassionate, innovative interdisciplinary care, pioneering research, and the education of future leaders dedicated to advancing the well-being of individuals, families, and their communities.
Job Summary
The Data Science Analyst provides technical assistance to help learners access and navigate online training systems. The Specialist serves as the liaison between end-users and the learning platform. Under direct supervision, this job performs a broad range of operational activities, which may include collecting, organizing, and analyzing information from the University's various internal data systems as well as from external sources. This job also performs assignments related to data manipulation, statistical applications, programming, analysis and modeling.
Responsibilities
  • Monitor and respond promptly to messages in the LMS support email inbox and voicemail line.
  • Provide clear, compassionate, and timely support to learners through phone and email.
  • Troubleshoot issues with the LMS and know when to escalate or redirect to other team members or the platform provider's support desk.
  • Collaborate with the LMS provider's support team to identify, report, and help resolve technical issues.
  • Track and share patterns or recurring concerns that may indicate broader system issues.
  • Work closely with the Technology & User Support Lead, teaching and learning specialists, and program administrators to improve learner support.
  • Contribute to cross-team projects as needed, such as data entry, communications, or general tech assistance.
  • Assists in analyzing data for the purpose of extracting applicable information. Performs research projects that provide analysis for a number of programs and initiatives.
  • May assist staff or faculty members with data manipulation, statistical applications, programming, analysis and modeling on a scheduled or ad-hoc basis.
  • Collects, organizes, and may analyze information from the University's various internal data systems as well as from external sources.
  • Maintains and analyzes statistical models using general knowledge of best practices in machine learning and statistical inference. Performs maintenance on large and complex research and administrative datasets. Responds to requests and engages other IT resources as needed.
  • Performs other related work as needed.

Minimum Qualifications
Education:
Minimum requirements include a college or university degree in related field.
Work Experience:
Minimum requirements include knowledge and skills developed through < 2 years of work experience in a related job discipline.
Certifications:
---
Preferred Qualifications
Experience:
  • Learning Management Systems.

Technical Skills or Knowledge:
  • Knowledge Learning Management Systems and Zendesk.

Preferred Competencies
  • Strong communication skills with the ability to explain technical information in clear and supportive ways.
  • Patience, empathy, and commitment to learner success.
  • Detail-oriented and organized, with the ability to manage multiple requests efficiently.
  • Comfort with technology and ability to learn new learning management systems.
  • Excellent communication and coaching abilities.
  • Proficiency with Microsoft Office 365 and LMS platforms.
  • Organizational skills.
  • Verbal and written communication skills.
  • Work independently and as part of a multidisciplinary team.

Application Documents
  • Resume/CV (required)
  • Cover Letter (required)

When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled Application Documents of the application.
Job Family
Research
Role Impact
Individual Contributor
Scheduled Weekly Hours
40
Drug Test Required
No
Health Screen Required
No
Motor Vehicle Record Inquiry Required
No
Pay Rate Type
Hourly
FLSA Status
Non-Exempt
Pay Range
$24.04 - $31.25
The included pay rate or range represents the University's good faith estimate of the possible compensation offer for this role at the time of posting.
Benefits Eligible
Yes
The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook.
Posting Statement
The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.
Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form.
All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically preclude University employment. Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position.
The University of Chicago's Annual Security & Fire Safety Report (Report) provides information about University offices and programs that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information. The Report can be accessed online at: http://securityreport.uchicago.edu. Paper copies of the Report are available, upon request, from the University of Chicago Police Department, 850 E. 61st Street, Chicago, IL 60637.

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