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Data Science Manager Remote Jobs in Schaumburg, IL

Data Science Intern

Chicago, IL · On-site +1

$1.20K/wk

Data Science Intern at Rundoo Our mission is to empower independent supply stores with best-in ... final call (remote) - A closing conversation with our CEO. About Our Founders * Andrew (CTO): ...

Director of Data Science

Chicago, IL · On-site +1

$153.20K - $229.80K/yr

You will manage a high-performing team of data scientists and actuaries, collaborating with cross ... Candidates who do not live near an office may be considered for a remote work arrangement with ...

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

This is a fully remote, flexible contract role. No prior AI industry experience required - just deep, hands-on command of data science and the ability to think critically about how models reason.

Lead Clinical Data Manager (Remote)

Chicago, IL · Remote

$68.50K - $217.10K/yr

... remote/WFH position with all necessary equipment provided. What You'll Do * Lead data management ... Bachelor's degree in life sciences, health, clinical, biological, or mathematical field. * No less ...

Lead Clinical Data Manager (Remote)

Chicago, IL · Remote

$68.50K - $217.10K/yr

... remote/WFH position with all necessary equipment provided. What You'll Do * Lead data management ... Bachelor's degree in life sciences, health, clinical, biological, or mathematical field. * No less ...

Due to the remote nature of this role and associated employment requirements, the company is unable ... Own data science solutions from initial concept and feasibility assessment through production ...

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Showing results 1-20

Data Science Manager Remote information

See Schaumburg, IL salary details

$30.4K

$95.4K

$168.9K

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

As of May 28, 2026, the average yearly pay for data science manager remote in Schaumburg, IL is $95,393.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,800.00 and $123,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Science Manager (Remote), and why are they important?

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 working remotely 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 does a remote 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 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 are popular job titles related to Data Science Manager Remote jobs in Schaumburg, IL? For Data Science Manager Remote jobs in Schaumburg, IL, the most frequently searched job titles are:
What job categories do people searching Data Science Manager Remote jobs in Schaumburg, IL look for? The top searched job categories for Data Science Manager Remote jobs in Schaumburg, IL are:
What cities near Schaumburg, IL are hiring for Data Science Manager Remote jobs? Cities near Schaumburg, IL with the most Data Science Manager Remote job openings:

Senior Manager, Data Science

BMO Capital Markets

Chicago, IL • On-site, Remote

$122.40K - $228K/yr

Full-time

Medical, Life, Retirement

Posted 18 hours ago


Job description

Application Deadline:

05/29/2026

Address:

180 Montgomery St.

Job Family Group:

Data Analytics & Reporting

This is ideally a hybrid role but open to remote

Role Overview


We are looking for a Senior Data Scientist with a strong cando mindset, proven ability to ship productiongrade models, and passion for solving ambiguous business challenges. This role blends deep technical expertise with business acumen, product thinking, and strong storytelling skills. You will drive endtoend delivery of Data & AI solutions-from problem framing and data acquisition to model development, deployment, and ongoing optimization-while influencing stakeholders across the organization.

Key Responsibilities

Model Development & Delivery

  • Apply advanced analytics, machine learning, deep learning, and AI methodologies to build predictive models and intelligent automation systems that deliver measurable business impact.
  • Own the full model lifecycle: data exploration, modeling, validation, deployment, monitoring, and continual improvement.
  • Diagnose and resolve model performance issues; implement scalable, reliable processes for ongoing model operations.
  • Use strong programming skills to prepare complex datasets (structured, semistructured, unstructured) and build reproducible pipelines.

Business Impact & Storytelling

  • Translate complex analytical findings into clear, actionable insights that influence decisionmaking at all levels.
  • Present recommendations in a compelling narrative that resonates with both technical and nontechnical stakeholders.
  • Lead discovery sessions to clarify business needs, define success metrics, and design analytical approaches that support business strategy.

Innovation & Best Practices

  • Drive innovation in Data & AI through new techniques, experimentation frameworks, and reusable analytical assets.
  • Establish and promote best practices in model development, MLOps, governance, and data quality.
  • Stay current on emerging trends, regulations, and technologies; provide guidance on how to leverage them within the organization.

Leadership & Collaboration

  • Serve as a subject matter expert for stakeholders across the enterprise.
  • Partner with crossfunctional teams-including Engineering, Product, and Business-to deliver solutions that scale.
  • Lead or contribute to strategic initiatives, roadmaps, and business cases that support the organization's data and AI vision.
  • Mentor and guide other data scientists; contribute to internal training, tools, and knowledgesharing.

Execution & Change Leadership

  • Manage complex, ambiguous problems by structuring analytical approaches and selecting appropriate modeling techniques.
  • Lead change management and communication efforts associated with analytics initiatives.
  • Implement processes and controls that ensure highquality, consistent delivery of analytical work.

Qualifications

  • 7+ years of relevant experience in data science, machine learning, or applied analytics.
  • Advanced degree (PhD preferred) in Computer Science, Engineering, Statistics, Mathematics, Physics, or related quantitative field-or equivalent experience.
  • Proven track record of shipping models to production and maintaining them at scale.
  • Expertise in machine learning and deep learning algorithms and frameworks.
  • Proficiency in Python and SQL; experience with R, SAS, or other analytical tools is a plus.
  • Experience with distributed computing technologies (Hive, Hadoop, Spark) and cloud ML platforms (AWS SageMaker, Azure ML, etc.).
  • Strong communication, storytelling, and influence skills; able to drive alignment across diverse groups.
  • Demonstrated ability to operate in ambiguity, make data-driven decisions, and solve complex, open-ended problems.
  • Experienced collaborator with deep cross-functional partnership skills and ownership mindset.

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.