ZipRecruiter

Log In

2

Remote Data Scientist Jobs in Racine, WI (NOW HIRING)

Deloitte

GCP Manager

Milwaukee, WI · On-site +1

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 ...

SmartIPlace

DevOps Engineer[remote]

Milwaukee, WI · Remote

$54 - $74/hr

Qualifications * Bachelor's or master's degree in computer science or equivalent engineering ... Data Platform and Big Data: SQL Server, Azure SQL DB, HDInsight/Hadoop, Machine Learning, Cosmos DB

next page

Showing results 1-20

People also search for

All JobsRemote Data Scientist JobsRemote Data Scientist Jobs in Racine, WI

Remote Data Scientist information

See Racine, WI salary details

$35.2K

$115.1K

$184.3K

How much do remote data scientist jobs pay per year?

As of Jun 1, 2026, the average yearly pay for remote data scientist in Racine, WI is $115,089.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,400.00 and $127,500.00 per year, depending on experience, location, and employer.

What Is the Job of a Remote Data Scientist?

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 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, 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 are remote data scientists?

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 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 Racine, WI? The most popular types of Data Scientist jobs in Racine, WI are:
What cities near Racine, WI are hiring for Remote Data Scientist jobs? Cities near Racine, WI with the most Remote Data Scientist job openings:
Remote Data Scientist jobs near you
Infographic showing various Remote Data Scientist job openings in Racine, WI as of May 2026, with employment types broken down into 1% Internship, 2% As Needed, 75% Full Time, 13% Part Time, 1% Temporary, and 8% Contract. Highlights an 76% Physical, 3% Hybrid, and 21% Remote job distribution, with an average salary of $115,089 per year, or $55.3 per hour.
Staff Data Engineer, Data Platform - IntelliScript (Remote)

Staff Data Engineer, Data Platform - IntelliScript (Remote)

Milliman IntelliScript

Brookfield, WI • On-site, Remote

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday

Job description

What We Do
Milliman IntelliScript is a group of a few hundred experts in fields ranging from actuarial science to information technology to clinical practice. Together, we develop and deploy category-defining, data-driven, software-as-a-service (SaaS) products for a broad spectrum of insurance, health IT and life sciences clients. We are a business unit within Milliman, Inc., a respected consultancy with offices around the world.
IntelliScript attracts top candidates with its innovative, collaborative, and entrepreneurial atmosphere focused on excellence, outstanding customer service, balance, and transparency. Everyone's opinion counts here, and we motivate each other to explore our full and varied potential. Our steady growth means there are ongoing opportunities for you to expand your skills, take on new responsibilities, and advance in your career.
Our team is smart, down-to-earth, and ready to listen to your best ideas. We reward excellence and offer competitive compensation and benefits. Visit our LinkedIn page for a closer look at our company, and learn more about our cultural values here .
Milliman invests in skills training and career development and gives all employees access to a variety of learning and mentoring opportunities. Our growing number of Milliman Employee Resource Groups (ERGs) are employee-led communities that influence policy decisions, develop future leaders, and amplify the voices of their constituents. We encourage our employees to give back to their varied professions, including leadership in professional organizations. Please visit our website to learn more about Milliman's commitments to our people, diversity and inclusion, social impact, and sustainability.
What this position entails
IntelliScript's Data has been a key part of our success and is critical to our future. In this position as a Staff Data Engineer of IntelliScript's Data Platform, you will be a trusted advisor across leadership and engineering team, responsible for technical decisions. You will ensure data systems work together across our hybrid environments with a focus on scale and performance. You will lead technical and architecture decisions in collaboration with architecture and data engineering teams while ensuring compliance with industry-leading data privacy standards.
What you will be doing
  • Acts as a subject matter expert and thought leader within the Data Platform Domain
  • Data Strategy: Serves as a thought leader in data processing design and implementation, defining advanced structure for moving, storing, and maintaining high-quality data
  • Team Leadership: Leads projects by managing timelines, coordinating teams, and communicating project statuses. Influences organizational direction through effective leadership and strategic collaboration
  • Data Governance and Security: Serves as a subject matter expert on governance standards, continuously aligning data practices with evolving industry best practices and requirements
  • Project Management and Scope of Work: Contributes to defining the overall vision and strategy for data engineering within the organization, ensuring alignment with organizational goals and long-term objectives
  • Results Orientation: Establishes visionary goals, advises on strategic plans, employs advanced monitoring, influences high-level stakeholders, and delivers transformative results
  • Data Platform: Expansion of our Data Warehouse(s) and Lakehouse solutions for a healthcare data focused enterprise
    • Data Governance: Configuring and maintaining unity catalog to enable enterprise data lineage, data quality, auditability and data stewardship
    • Data Security: Building out Data Security protocols and best practices including the management of identified and de-identified (PHI/PII) solutions
    • Access Management: Always ensure a policy of least privilege is followed for anything being implemented
    • External Data Products: Building data solutions for clients while upholding the best standards for reliability, quality, and performance
    • ETL: Building solutions within Delta Live Tables and automation of transformations
    • Medallion Architecture: Building out performant enterprise-level medallion architecture(s)
    • Streaming and Batch Processing: Building fit-for-purpose near real-time streaming and batch solutions
    • Large Data Management: Building out performant and efficient enterprise solutions for internal and external users for both structured and unstructured healthcare data
    • Platform Engineering: Building out Infrastructure as Code using Terraform and Asset Bundles
    • Costs: Working with the business to build cost effective and cost transparent Data solutions
  • Pipeline/ETL Management: You will help architect, build, and maintain robust and scalable data pipelines, monitoring, and optimizing performance
    • Experience working with Migration tools i.e. Fivetran, AWS technologies and custom solutions
    • Identify and implement improvements to enhance data processing efficiency
    • Design and implement reliable and resilient Event Driven data processing
    • Experience with building out effective pipeline monitoring solutions
    • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Delta Live Tables, Python, Scala, and cloud-based 'big data' technologies
  • API Development: Drive our design and implementation of internal APIs for integrating data between different systems and applications
    • Integration with external systems utilizing API driven processes to ingest data
    • Develop APIs built on top of datasets for internal systems to consume data from Databricks
    • Experience integrating with external APIs including but not limited to Salesforce, Financial systems, HR systems and other external systems
  • Data Modeling: Lead design, implementation, and maintenance of standards based (FHIR, OMOP, etc.) and efficient data models for both structured and unstructured data
    • Assemble large, complex data sets that meet functional and non-functional business requirements
    • Develop and maintain data models, ensuring they align with business objectives and data privacy regulations
  • Collaboration: Partner internally and externally with key stakeholders to ensure we are providing meaningful, functional, and valuable data
    • Effectively work with Data, Development, Analysts, Data Science, and Business team members to gather requirements, propose, and build solutions
    • Communicate complex technical concepts to non-technical stakeholders and provide guidance on best practices
    • Ensure that technology execution aligns with business strategy and provides efficient, secure solutions and systems
    • Gather requirements and build out project plans to implement those requirements with forecasted efforts to implement
  • Processes and Tools: Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
    • Build analytics tools that utilize the data pipeline to provide actionable insights into operational efficiency and other key business performance metrics
    • Create data tools for clinical, analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader
    • Lead investigation of new tooling, develop implementation plans, and deployment of necessary tooling

What we need
  • 15+ years of relevant experience in design, development, and testing of Data Platform solutions, such as Data Warehouses, Data Lakes, and Data Products
  • Expert level experience working in Databricks and AWS
  • Expert level experience working in both relational and non-relational databases such as SQL Server, PostgreSQL, DynamoDB, DocumentDB
  • Experience managing and standardizing clinical data from structured and unstructured sources
  • Experience building and managing solutions on AWS
  • Expert knowledge in healthcare standards including FHIR, C-CDA, and traditional HL7
  • Expert knowledge in clinical standards/ontologies including ICD10/SNOMED/NDC/LOINC/Rx Norm
  • Expert in building out data models, data warehouses, designing of data lakes for enterprise and product use cases
  • Familiarity with designing and building APIs, ETL and data ingestion processes and utilization of tools to support enterprise solutions
  • Experience in performance tuning, query optimization, security, monitoring, and release management
  • Experience working with and managing large, disparate, identified and de-identified data sets from multiple data sources
  • Experience with building and deploying IAC using terraform, asset bundles and GitHub
  • Experience collaborating with Data Science teams and building AI based solutions to drive efficiencies and business value

What you bring to the table
  • Demonstrated "let's find a way to do it" attitude - no task is too big or too small
  • Effective collaboration and communication across multiple technical and non-technical disciplines
  • Comfortable working through ambiguous situations
  • Able to teach & mentor others on new/emerging technologies
  • Customer obsessed with a business-centric focus
  • Able to understand both strategic and tactical needs and balance appropriately
  • Driven, thorough and self-directed
  • Able to lead through influence and persuasion
  • Curiosity to explore industry trends and drive the organization to utilize fit for purpose solutions

Wish list
  • Bachelor's degree or master's degree in computer science, data engineering or related field
  • Health and Life Insurance business experience
  • Professional level solution architecture certification in AWS

Location
The expected application deadline for this job is June 30, 2026. This position is open to remote work. Applicants must be willing to travel to the Milliman office in Brookfield, WI as needed and travel nationwide for meetings, conferences, and team events.
Compensation
The overall salary range for this role is $131,600 - $249,780.
For candidates residing in:
  • Alaska, California, Connecticut, Illinois, Maryland, Massachusetts, New Jersey, New York City, Pennsylvania, Virginia, Washington, or the District of Columbia the salary range is $151,340 - $249,780.
  • All other locations the salary range is $131,600 - $217,200.

A combination of factors will be considered, including, but not limited to, education, relevant work experience, qualifications, skills, certifications, etc.
Benefits
We offer a comprehensive benefits package designed to support employees' health, financial security, and well-being. Benefits include:
  • Medical, Dental and Vision - Coverage for employees, dependents, and domestic partners
  • Employee Assistance Program (EAP) - Confidential support for personal and work-related challenges
  • 401(k) Plan - Includes a company matching program and profit-sharing contributions
  • Discretionary Bonus Program - Recognizing employee contributions
  • Flexible Spending Accounts (FSA) - Pre-tax savings for dependent care, transportation, and eligible medical expenses
  • Paid Time Off (PTO) - Begins accruing on the first day of work. Full-time employees accrue 15 days per year, and employees working less than full-time accrue PTO on a prorated basis
  • Holidays - A minimum of 10 paid holidays per year
  • Family Building Benefits - Includes adoption and fertility assistance
  • Paid Parental Leave - Up to 12 weeks of paid leave for employees who meet eligibility criteria
  • Life Insurance & AD&D - 100% of premiums covered by Milliman
  • Short-Term and Long-Term Disability - Fully paid by Milliman

Equal Opportunity
All qualified applicants will receive consideration for employment, without regard to race, color, religion, sex, sexual orientation, national origin, disability, or status as a protected veteran.

Apply