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Manager Data Scientist Jobs in Waterloo, IL (NOW HIRING)

... with data management. 20% 2. Translate biomedical information needs and data management ... science, information science, and informatics theory to clinical practice, education ...

New

As an Expert Data Scientist at Nestle Purina,you'llsupport enterprise-wide AI and machine learning ... management * Develop reusable frameworks, accelerators, and best practices that improve the ...

What Impact You'll Have We are seeking a Senior Data Scientist to support mission-driven analytic ... Operating in a fast-paced, mission-focused environment, you will independently manage multiple ...

Experience managing multiple projects and technical initiatives simultaneously in a high-tempo operational environment. * Strong understanding of data analysis, statistical methods, and data-driven ...

Experience managing multiple projects and technical initiatives simultaneously in a high-tempo operational environment. * Strong understanding of data analysis, statistical methods, and data-driven ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary The Opportunity As an AI & GenAI Data Scientist - Manager, you will play a pivotal role in ...

Embtel offers a full suite of IT solutions including cloud and hosting solutions, managed services ... in data science capabilities including data mining, predictive modeling, machine learning ...

Embtel offers a full suite of IT solutions including cloud and hosting solutions, managed services ... in data science capabilities including data mining, predictive modeling, machine learning ...

Flexible and adaptable attitude, disciplined to manage multiple responsibilities and adjust to ... Solid foundation in Computer Science, with strong competencies in data structures, algorithms and ...

Showing results 41-60

Manager Data Scientist information

See Waterloo, IL salary details

$42.6K

$152.8K

$225.5K

How much do manager data scientist jobs pay per year?

As of Sep 5, 2026, the average yearly pay for manager data scientist in Waterloo, IL is $152,840.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,600.00 and $157,500.00 per year, depending on experience, location, and employer.

What is a manager data scientist?

Manager Data Scientists are professionals who oversee data science teams and projects within an organization. They combine advanced analytical skills with leadership abilities to guide data scientists, set project priorities, and ensure data-driven strategies align with business goals. In addition to technical expertise in data modeling, machine learning, and analytics, they are responsible for mentoring team members, managing resources, and communicating insights to stakeholders. Their role bridges the gap between technical execution and strategic decision-making.

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

To thrive as a Manager Data Scientist, you need expertise in statistical analysis, machine learning, data modeling, and a relevant degree such as in computer science, mathematics, or statistics. Familiarity with tools like Python, R, SQL, cloud platforms (e.g., AWS, Azure), and experience with data visualization software and project management methodologies are commonly required. Strong leadership, effective communication, and the ability to mentor and guide teams are vital soft skills in this role. These competencies ensure successful project delivery, drive data-driven business decisions, and foster a productive, innovative team environment.

How does a manager data scientist typically collaborate with cross-functional teams to drive business outcomes?

As a Manager Data Scientist, you will work closely with teams such as engineering, product management, and business stakeholders to ensure data-driven solutions align with company goals. This collaboration often involves translating complex analytical findings into actionable insights, setting project priorities, and managing expectations. You will also facilitate communication between data scientists and non-technical teams to foster understanding and ensure successful project delivery. Building strong relationships and promoting a culture of data-driven decision-making are essential aspects of the role.

What is the difference between Manager Data Scientist vs Data Scientist?

AspectManager Data ScientistData Scientist
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; leadership experienceBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersAnalyzes data, develops models, reports findings
Employer & Industry UsageUsed in organizations with data teams, tech, finance, healthcareFound across industries, entry to mid-level roles

The main difference is that a Manager Data Scientist oversees data teams and projects, focusing on leadership and strategic planning, while a Data Scientist primarily conducts data analysis and model development. The manager role involves more coordination, mentorship, and stakeholder communication, whereas the data scientist role emphasizes technical skills and hands-on analysis.

What cities near Waterloo, IL are hiring for Manager Data Scientist jobs?

Cities near Waterloo, IL with the most Manager Data Scientist job openings:

Data scientist

3B Staffing LLC

Saint Louis, MO • Hybrid

$5/hr

Full-time

Posted 3 days ago

New


Job description

Data Scientist (Hybrid) Pytorch/ Python/FastAi2

Client

Washington University School of Medicine

Location

St. Louis, MO

Work Location

Hybrid (M-W-F)

Work Status

USC, GC (No other status is allowed)

Perfect English - no strong ascent

Relocate

Can relocate (at their own cost)

Must start day 1 onsite

Hybrid (Monday - Wednesday - Friday) onsite

Duration

12+ Months

End Goal

Client wants to convert the person to Perm at 1 year

Rate

Market Rate

Pay is W2 to Technology Partners,

(C2C / 1099 is not allowed)

I will not share a rate.

want the best talent, at a fair pay rate.

Fee

$5 fee to your firm

Required

  • Masters Degree or PhD
  • Pytorch/ Python: Real, grounded, python experts with experience in PyTorch
  • FastAi2: skills and massive amount of confidence in creating models in notebooks.
  • Statistical Expertise to understand the validation results
    • what are they seeing, what's relevant, and how to balance the recall and explainability of their work.
  • Serious technical chops(skills) required for this job.
  • Medical/ clinical background is a must
  • Senior most talent needed for this role.
  • Contributing to the strategy discussions
  • Building functional models given a population set of healthcare patients and ensuring that model is highly explainable.

Preferred: Databricks is nice to have

NOT

  • Not people that use tools like MLFlow to create models.
  • Not a (Machine Learning) ML Ops role.
  • Person is Not expected to perfectly containerize/implement the model outside of testing and validation phases, Client will do operational phase. •

Fill out for your candidate to be considered

Candidate Name

C-Phone

C-Email

Pytorch

Years

Python

Years

FastAi2

Years

Master/

PHD

GC/USC

C- Location

Rate W2

+5 Fee

Your email

3/20/25

Job Description

Develop, implement or evaluate health information technology applications, tools, processes or structures to assist clinical and research faculty and staff with data management. 20%

2. Translate biomedical information needs and data management requirements between clinicians and systems engineers, analysts, or designers using object-oriented models or other techniques. 15%

3. Use informatics science to design or implement health information technology applications to address clinical, research, and health care challenges. 15%

4. Apply knowledge of health science, information science, and informatics theory to clinical practice, education, administration, or research, in collaboration with other health informatics specialists. 15%

5. Analyze and interpret information systems data to improve research and clinical services. 10%

6. Identify, collect, record or analyze data relevant to clinical research and care. 5%

7. Design, develop, select, test, implement, and evaluate new or modified informatics solutions, data structures, and decision-support mechanisms to support patients, health care professionals, and their information management and human-computer and human-technology interactions within health care contexts. 5%

8. Analyze computer and information technologies to determine applicability to clinical practice, education, operations, and research. 5%

9. Develop strategies, policies or procedures for introducing, evaluating or modifying information technology applied to clinical practice, education, administration, or research. 5%

10. Other duties as assigned. 5%

  • MD, DO, PharmD, RN, PhD;
  • or Master's degree with five years relevant experience and/or formal informatics certification; and
  • Demonstrated experience working on projects related to clinical decision support, medical terminologies, health information systems, or health-related applications.