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Remote Data Science Jobs in Milwaukee, WI (NOW HIRING)

MSI Data LLC

Product Owner

Milwaukee, WI · Remote

... and remote position, at MSI Data is the ideal opportunity for an experienced, talented, and ... Position Qualifications: * BS or similar certification in Computer Science or related discipline ...

micro1 AI

AI Trainer - Microbiology Expert

Kenosha, WI · Remote

$70 - $90/hr

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Document experimental findings and processes with a focus on clarity for AI training data.

Network Health

Data Warehouse Engineer I

Brookfield, WI · On-site +1

The Data Warehouse Engineer I is part of a team dedicated to supporting Network Health's Enterprise ... Requires Associate Degree in Computer Science, Business, or related technical field; equivalent ...

Network Health

Data Warehouse Engineer I

Brookfield, WI · On-site +1

The Data Warehouse Engineer I is part of a team dedicated to supporting Network Health's Enterprise ... Requires Associate Degree in Computer Science, Business, or related technical field; equivalent ...

Johnson Controls

AI Engineer

Glendale, WI · On-site +1

This is a hybrid/remote role that is flexible on location so long as there is flexibility to travel ... Partner with data scientists and architects to translate research and prototypes into production ...

micro1 AI

AI Training Specialist - Chemistry

Kenosha, WI · Remote

$70 - $90/hr

Remote micro1 is engaging Chemistry Specialists to participate in a project supporting a leading ... data, and findings clearly and accurately, ensuring reproducibility and scientific integrity.

Merjent

Lead Wetland Field Ecologist - IN

Milwaukee, WI · Remote

$27 - $40/hr

The work environment will consist of both urban and remote field settings, which may include work ... Collect, record, manage, and analyze geospatial data using Trimble and ESRI products.Prepare ...

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All JobsData Science JobsRemote Data Science JobsRemote Data Science Jobs in Milwaukee, WI

Remote Data Science information

See Milwaukee, WI salary details

$22.9K

$102K

$194.6K

How much do remote data science jobs pay per year?

As of Aug 9, 2026, the average yearly pay for remote data science in Milwaukee, WI is $101,998.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,686.00 and $141,473.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a remote data scientist, and why are they important?

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

What are the qualifications to get a remote data science job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

Can I work remotely as a remote data scientist?

Yes, many remote data scientist positions are available, allowing professionals to work from anywhere with a reliable internet connection. These roles often require skills in programming, data analysis, and familiarity with tools like Python, R, or SQL, and may involve collaboration through online platforms. Remote work arrangements are common in the data science field, especially with the increasing adoption of cloud-based tools and flexible schedules.

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

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

More about Remote Data Science jobs
What are the most commonly searched types of Data Science jobs in Milwaukee, WI? The most popular types of Data Science jobs in Milwaukee, WI are:
What are popular job titles related to Remote Data Science jobs in Milwaukee, WI? For Remote Data Science jobs in Milwaukee, WI, the most frequently searched job titles are:
What job categories do people searching Remote Data Science jobs in Milwaukee, WI look for? The top searched job categories for Remote Data Science jobs in Milwaukee, WI are:
What cities near Milwaukee, WI are hiring for Remote Data Science jobs? Cities near Milwaukee, WI with the most Remote Data Science job openings:
Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in Milwaukee, WI as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, and 5% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $101,998 per year, or $49 per hour.

Product Owner

MSI Data LLC

Milwaukee, WI • Remote

Full-time

Re-posted 9 days ago

Job description

Description


Background and Opportunity

The Product Owner role, an exempt and remote position, at MSI Data is the ideal opportunity for an experienced, talented, and ambitious software industry professional looking to grow their career in a rapidly growing and dynamic market - service management software. As the Product Owner for our flagship, cloud-based Service Pro enterprise, scheduling, and mobile field service software platform, you will define and lead delivery of the roadmap for the Service Pro product platform. The Product Owner will work closely with the Senior Leadership team to align strategic directions for the product roadmap.


The successful Product Owner will develop close relationships with customers to build insights for product capability as well as assess competitors. The Product Owner will assess Service Pro capabilities and identify opportunities to bring additional value to users. The Product Owner will work closely with the Product Development and Professional Services team to build the product backlog as a basis for development sprints. 


The Service Pro platform provides comprehensive field service capability to customers that provide service for mission critical assets. This is an opportunity to be part of an ambitious team that is delivering solutions to field service organizations today and leading the definition of what it can be tomorrow. 


Position Responsibilities:

Primary responsibilities of the Product Owner include:

  • Lead the establishment of product priorities including new capabilities and product enhancements. Work with leadership team to align on priorities for the product roadmap.
  • Works directly with Product Development teams on building the product backlog aligned with the roadmap and serves as input to the agile software development process.
  • Define and write detailed User Stories, acceptance criteria, and supplemental specifications for development teams.
  • Lead backlog refinement sessions and participate actively in all Scrum events (planning, review, and retrospective).
  • Represents and discusses the product roadmap with internal and external stakeholders.
  • Assesses field service market trends to inform our strategic direction. Monitor and assess competitors to establish differentiating positions.
  • Work with customer operations teams to understand and assess current customer needs for the Service Pro platform.
  • Monitor key product performance indicators (KPIs) and use data to make informed prioritization decisions.


Position Qualifications:

  • BS or similar certification in Computer Science or related discipline
  • 2-3 years software product ownership or product development experience
  • Experience in Pragmatic Product Management or similar methodologies
  • Excellent communication skills and ability to work in teams (internal and external)
  • Proficiency with Jira or similar Agile lifecycle management tools.
  • Demonstrated ability to manage complex stakeholder relationships and drive consensus.
  • Experience or deep familiarity with Field Service Management processes (scheduling, dispatch, mobile workflows) is highly valued.

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