2

Data Science Manager Remote Jobs in Wisconsin (NOW HIRING)

Support existing data science and modeling teams by aligning platform capabilities to business and ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

Staff Data Architect (Remote)

Menomonee Falls, WI · On-site +1

$64 - $82.25/hr

Partner with product managers, software engineers, data engineers, designers, data scientists, and analytics teams to deliver scalable, reusable, and well-governed data solutions that meet business ...

We are open to remote work in the following approved states: Colorado, Florida, Georgia, Illinois ... Bachelor's Degree in Data Analytics, Mathematics, Statistics, Computer Science or related field or ...

Senior Data Engineer (Remote)

Menomonee Falls, WI · Remote

$123K - $162.10K/yr

Participate in the entire application lifecycle in collaboration with designers, product managers ... Collaborate with stakeholders, data scientists, and full stack engineers to deliver trusted ...

Data Engineer

Madison, WI · On-site +1

$82.13K - $102.60K/yr

Under the supervision of the Manager of Court Data and Analytics the Data Engineer will focus on ... Certain positions with this Department may allow remote work for a portion of their work schedule ...

Support data science and model teams with platform needs, environment enablement, and deployment ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

next page

Showing results 1-20

Data Science Manager Remote information

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 Wisconsin? For Data Science Manager Remote jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Data Science Manager Remote jobs in Wisconsin look for? The top searched job categories for Data Science Manager Remote jobs in Wisconsin are:
What cities in Wisconsin are hiring for Data Science Manager Remote jobs? Cities in Wisconsin with the most Data Science Manager Remote job openings:
GCP Manager

GCP Manager

Deloitte

Milwaukee, WI • On-site, Remote

Other

Posted 9 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services


Job description

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced GCP Manager you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite and/or remote client service delivery.

Recruiting for this role ends on 06/30/2026.

Work you'll do

As a GCP Manager on the AI & Data team, you will be responsible for...

  • Drive solution reviews and secure design approvals for GCP-based data lake solutions with multiple integrations
  • Provide technical guidance to the delivery team for the build and implementation of approved GCP architecture
  • Lead solution design activities across GCP cloud services, infrastructure architecture, and data platform components
  • Support existing data science and modeling teams by aligning platform capabilities to business and technical needs
  • Coordinate with architecture, engineering, and delivery stakeholders to oversee execution, dependencies, and solution quality

A successful candidate would possess these skills:

  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

AI & Engineering leverages engineering capabilities to build, deploy, and operate sector-focused solutions across software, data, AI, network, and hybrid cloud infrastructure. The practice helps clients modernize technology and data platforms and apply engineering to mission-critical operations. Our AI & Data practice designs, develops, and operates data and AI platforms, products, insights, and services to help organizations scale their analytics and AI capabilities.

Qualifications

Required:

  • Bachelor's degree in preferably Computer Science, Information Technology, Computer Engineering, or equivalent experience
  • 8+ years of experience with Google Cloud Platform cloud services and infrastructure architecture
  • 8+ years of experience in solution design and architecture for cloud-based data platforms or data lake solutions
  • Experience leading technical design reviews and securing design approvals for cloud-based solutions
  • Experience providing technical coordination and oversight for delivery teams
  • Limited immigration sponsorship may be available.
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.

Preferred:

  • Experience in consulting, including experience serving healthcare industry clients

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $147,600 to $174,600.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced GCP Manager you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite and/or remote client service delivery.

Recruiting for this role ends on 06/30/2026.

Work you'll do

As a GCP Manager on the AI & Data team, you will be responsible for...

  • Drive solution reviews and secure design approvals for GCP-based data lake solutions with multiple integrations
  • Provide technical guidance to the delivery team for the build and implementation of approved GCP architecture
  • Lead solution design activities across GCP cloud services, infrastructure architecture, and data platform components
  • Support existing data science and modeling teams by aligning platform capabilities to business and technical needs
  • Coordinate with architecture, engineering, and delivery stakeholders to oversee execution, dependencies, and solution quality

A successful candidate would possess these skills:

  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

AI & Engineering leverages engineering capabilities to build, deploy, and operate sector-focused solutions across software, data, AI, network, and hybrid cloud infrastructure. The practice helps clients modernize technology and data platforms and apply engineering to mission-critical operations. Our AI & Data practice designs, develops, and operates data and AI platforms, products, insights, and services to help organizations scale their analytics and AI capabilities.

Qualifications

Required:

  • Bachelor's degree in preferably Computer Science, Information Technology, Computer Engineering, or equivalent experience
  • 8+ years of experience with Google Cloud Platform cloud services and infrastructure architecture
  • 8+ years of experience in solution design and architecture for cloud-based data platforms or data lake solutions
  • Experience leading technical design reviews and securing design approvals for cloud-based solutions
  • Experience providing technical coordination and oversight for delivery teams
  • Limited immigration sponsorship may be available.
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.

Preferred:

  • Experience in consulting, including experience serving healthcare industry clients

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $147,600 to $174,600.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

What Deloitte employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom