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Remote Data Scientist Jobs in Wisconsin (NOW HIRING)

Iatinsurancegroup

Business Data Analyst

Milwaukee, WI · On-site +1

$55K - $120K/yr

... fully remote arrangements for the ideal candidate. Responsibilities: * Elicit, analyze, and ... Bachelor's degree in Computer Science, Information Systems, or similar technology-related field ...

Rural Mutual Insurance

Data Engineer

Milwaukee, WI · On-site +1

$112K - $135K/yr

As a Data Engineer , you will be responsible for implementing and optimizing data pipelines ... This is a remote position with periodic on-site presence required. Candidates must live and work in ...

Rural Mutual Insurance

Data Engineer

Madison, WI · On-site +1

$115K - $138K/yr

As a Data Engineer , you will be responsible for implementing and optimizing data pipelines ... This is a remote position with periodic on-site presence required. Candidates must live and work in ...

Rural Mutual Insurance

Actuarial Analyst

Madison, WI · On-site +1

This is a remote position with periodic on-site presence required. Candidates must live and work in ... Data Science, or a related quantitative field. • Successful completion of one or more CAS ...

AgSource

Data Engineer

Watertown, WI · On-site +1

$109K - $131K/yr

Bachelor's degree in Computer Science, Information Systems, or a related field. * Strong hands-on experience with Databricks, including Python, Spark, and Delta Lake. * Strong SQL Server and data ...

Urus Group LP

Data Engineer

Watertown, WI · On-site +1

$109K - $131K/yr

Bachelor's degree in Computer Science, Information Systems, or a related field. * Strong hands-on experience with Databricks, including Python, Spark, and Delta Lake. * Strong SQL Server and data ...

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 ...

Hikinex

REMOTE OR HYBRID IS POSSIBLE FOR THE RIGHT CANDIDATE. Open for candidates in Canada as well as the ... Bachelor's or Master's Degree in Computer Science, Data Science, Aerospace Engineering, or a ...

CSAA

Perform complex data analysis for Commercial Claims aligned to business and portfolio objectives ... Bachelor's degree in mathematics, business, statistics, economics, computer science or equivalent ...

CSAA

Perform complex data analysis for Commercial Claims aligned to business and portfolio objectives ... Bachelor's degree in mathematics, business, statistics, economics, computer science or equivalent ...

CSAA

Perform complex data analysis for Commercial Claims aligned to business and portfolio objectives ... Bachelor's degree in mathematics, business, statistics, economics, computer science or equivalent ...

CSAA

Perform complex data analysis for Commercial Claims aligned to business and portfolio objectives ... Bachelor's degree in mathematics, business, statistics, economics, computer science or equivalent ...

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All JobsData Scientist JobsRemote Data Scientist JobsRemote Data Scientist Jobs in Wisconsin

Remote Data Scientist information

See Wisconsin salary details

$37.9K

$123.9K

$198.3K

How much do remote data scientist jobs pay per year?

As of Sep 5, 2026, the average yearly pay for remote data scientist in Wisconsin is $123,886.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,400.00 and $137,300.00 per year, depending on experience, location, and employer.

What is a remote data scientist?

Remote data scientists are professionals who analyze and interpret complex data while working outside of a traditional office environment, typically from home or another remote location. They use statistical methods, machine learning, and programming to extract insights from data, helping organizations make data-driven decisions. Remote data scientists collaborate with teams virtually, often using tools for communication, data analysis, and project management. This flexible work arrangement allows for talent from anywhere to contribute to companies worldwide, provided they have reliable internet and the necessary technical skills.

What does a remote data scientist do?

Remote data scientists collect, confirm, and interpret data to determine useful information for their employer. Unlike in-house data scientists, remote data scientists work outside the office, either from home or another location with Wi-Fi accessibility. Remote data scientists help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information they get from the records they gather helps businesses make decisions in critical areas, such as product development, sales and marketing techniques, and client retention. You find remote data scientists in many different industries, including pharmaceuticals, manufacturing, and banking.

What key skills and qualifications are 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, usually demonstrated through a relevant degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of data visualization tools are typically required, along with certifications such as Microsoft Certified: Azure Data Scientist Associate or Google Professional Data Engineer. Excellent communication, problem-solving abilities, and self-motivation are critical soft skills for collaborating remotely and delivering insights to stakeholders. These skills are crucial for effectively analyzing data, building predictive models, and driving data-driven decisions in a distributed work environment.

How does a remote data scientist typically collaborate with team members across different time zones?

As a remote data scientist, effective collaboration across time zones often involves leveraging asynchronous communication tools like Slack, project management platforms, and version control systems such as Git. Regular virtual meetings are scheduled to accommodate overlapping hours, and clear documentation becomes crucial for keeping everyone aligned. Proactive communication, sharing progress updates, and setting clear expectations help ensure seamless teamwork despite geographical differences. This structure allows remote data scientists to contribute meaningfully while maintaining flexibility in their work schedules.

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

AspectRemote Data ScientistRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; often requires programming skills in Python or RDegree in Analytics, Business, or related field; may require proficiency in Excel, SQL, and visualization tools
Work EnvironmentResearch-focused, developing models, machine learning, and predictive analyticsData interpretation, reporting, and visualization to support business decisions
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceRetail, marketing, finance, and consulting firms

Remote Data Scientists focus on building models and advanced analytics, while Remote Data Analysts interpret data and create reports. Both roles require strong analytical skills but differ in technical depth and project scope.

More about Remote Data Scientist jobs

What are the most commonly searched types of Data Scientist jobs in Wisconsin?

The most popular types of Data Scientist jobs in Wisconsin are:

What are popular job titles related to Remote Data Scientist jobs in Wisconsin?

For Remote Data Scientist jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Remote Data Scientist jobs in Wisconsin look for?

The top searched job categories for Remote Data Scientist jobs in Wisconsin are:

What cities in Wisconsin are hiring for Remote Data Scientist jobs?

Cities in Wisconsin with the most Remote Data Scientist job openings:

Remote Data Scientist jobs near you
Infographic showing various Remote Data Scientist job openings in Wisconsin as of August 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 100% Remote job distribution, with an average salary of $123,886 per year, or $59.6 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Green Bay, WI • Remote

Full-time

Re-posted 15 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply