2

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

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 ...

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 ...

Foth is a 100% member-owned science and engineering consulting firm headquartered in Wisconsin ... This is a full-time, exempt position with flexibility for onsite in De Pere, WI, hybrid, or remote ...

Insurance Underwriter

Green Bay, WI · On-site +1

$100K - $300K/yr

REMOTE WORK FROM HOME POSSIBLE Leading insurer seeks an experienced Underwriter to provide support ... data centers, biotechnology, pharmaceuticals, life sciences, data breach, privacy, high-tech ...

Engineering Buyer

Green Bay, WI · On-site +1

$70K - $80K/yr

Foth is a 100% member-owned science and engineering consulting firm headquartered in Wisconsin ... This is a full-time, exempt position with flexibility for onsite in De Pere, WI, hybrid, or remote ...

Engineering Buyer

Green Bay, WI · On-site +1

$70K - $80K/yr

Foth is a 100% member-owned science and engineering consulting firm headquartered in Wisconsin ... This is a full-time, exempt position with flexibility for onsite in De Pere, WI, hybrid, or remote ...

Foth is a 100% member-owned science and engineering consulting firm headquartered in Wisconsin ... This position will be based in Green Bay, WI or may be performed from a remote location. Primary ...

Foth is a 100% member-owned science and engineering consulting firm headquartered in Wisconsin ... This position will be based in Green Bay, WI or may be performed from a remote location. Primary ...

Remote Data Science information

See Appleton, WI salary details

$22K

$97.7K

$186.4K

How much do remote data science jobs pay per year?

As of Jun 19, 2026, the average yearly pay for remote data science in Appleton, WI is $97,650.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,440.00 and $135,443.00 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.

Can a data scientist work fully remote?

Yes, many data scientists work fully remote, especially in companies that prioritize flexible work arrangements. Remote data science roles often require strong communication skills, proficiency with collaboration tools, and the ability to work independently on projects using programming languages like Python or R. However, some positions may require occasional in-person meetings or on-site presence depending on company policies.

Is 40 too late for data science?

Age is not a barrier to entering data science, and many professionals start or transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

Will AI replace data scientists?

AI is transforming the role of data scientists by automating routine tasks such as data cleaning and basic analysis, but it does not eliminate the need for human expertise in interpreting results, designing models, and making strategic decisions. Data scientists will continue to be essential for developing complex algorithms, understanding business context, and ensuring ethical use of AI tools. Skills in programming, statistical analysis, and machine learning remain critical for the profession's evolving landscape.

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).

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.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables, optimize models, and prioritize tasks for efficiency.
What are the most commonly searched types of Data Science jobs in Appleton, WI? The most popular types of Data Science jobs in Appleton, WI are:
What are popular job titles related to Remote Data Science jobs in Appleton, WI? For Remote Data Science jobs in Appleton, WI, the most frequently searched job titles are:
What job categories do people searching Remote Data Science jobs in Appleton, WI look for? The top searched job categories for Remote Data Science jobs in Appleton, WI are:
What cities near Appleton, WI are hiring for Remote Data Science jobs? Cities near Appleton, WI with the most Remote Data Science job openings:
Infographic showing various Remote Data Science job openings in Appleton, WI as of June 2026, with employment types broken down into 2% As Needed, 69% Full Time, 25% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $97,650 per year, or $46.9 per hour.
Strategic Data Partnership Manager

Strategic Data Partnership Manager

Milliman

Appleton, WI • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago


Job description

Individual(s) must be legally authorized to work in the United States without the need for immigration support or sponsorship from Milliman now or in the future. 
Company Overview:

Leading with our core values of Quality, Integrity, and Opportunity, MedInsight is one of the healthcare industry’s most trusted solutions for healthcare intelligence.  Our company purpose is to empower easy, data-driven decision-making on important healthcare questions. Through our products, education, and services, MedInsight is making an impact on healthcare by helping to drive better outcomes for patients while reducing waste. Over 300 leading healthcare organizations have come to rely on MedInsight analytic solutions for healthcare cost and care management.

MedInsight is a subsidiary of Milliman; a global, employee-owned consultancy providing actuarial consulting, retirement funding and healthcare financing, enterprise risk management and regulatory compliance, data analytics and business transformation as well as a range of other consulting and technology solutions.

Position Summary:

Healthcare runs on data that nobody has fully figured out how to unlock — claims, clinical, social determinants, lab, Rx, mortality, pricing. The organizations that solve the access, quality, and trust challenges around that data are the ones building the next generation of payer strategy, life sciences research, and provider performance solutions. 

We sit in the middle of that.

MedInsight's data licensing business is one of the fastest-growing, highest-margin businesses within Milliman. It's also at a stage where the person who joins now will help decide what it becomes. 

We're hiring a Strategic Data Partnership Manager to help drive that growth on both sides of the equation: the partners who supply our data and the customers who build on it. This role will be responsible for developing and managing strategic data partnerships, supporting customer success, and identifying new opportunities to expand our data ecosystem and revenue growth. This position is fully remote, while occasional travel may be required.
Primary Responsibilities:

You'll own the internal and external partnerships that determine what data we can offer and how effectively we can grow the business. Specifically, you will:  

  • Own and grow existing partnerships. Manage relationships with current data and technology partners — ensuring they remain productive, identifying opportunities for expansion, and renegotiating agreements when business needs evolve. These partnerships power our product; you’ll help keep that engine running. 
  • Drive customer success with data. Partner with data science and cross-functional teams to address customer questions, build a knowledge library of best practices and use cases, and advocate for product and engineering improvements that accelerate customer time-to-insight. 
  • Identify and develop new partnerships. Assess gaps in our data offerings (SDoH, clinical depth, novel real-world sources, etc.), evaluate potential partners, and manage the process end-to-end — from sourcing, and due diligence through commercial negotiations, legal review and integration. You'll work closely with product, engineering, legal, sales and other market-facing teams. 
  • Grow data licensing revenue. Build and scale partnership operations that expand the reach and value of our data offerings across life sciences, payers, providers, and research organizations.  

Preferred Qualifications / Requirements

  • Bachelor's degree or equivalent combination of education and experience.
  • 5+ years of experience working with analytical data products, data-driven solutions, or related client-facing roles.
  • Experience working with healthcare data and analytics solutions preferred; experience in similarly complex industries (e.g. financial services, advertising technology, or government data) will also be considered.
  • Proven experience managing external partner or client relationships with significant business impact, including revenue responsibility, contractual obligations, and executive-level engagement.
  • Ability to translate ambiguous business challenges into technical or analytical solutions and effectively communicate requirements between business and technical stakeholders.
  • Strong understanding of the U.S. healthcare ecosystem, including payers, providers, and life sciences organizations.
  • Knowledge of healthcare data sources and how they integrate, including claims, EHR, pharmacy (Rx), laboratory, and social determinants of health (SDoH) data.
  • Familiarity with healthcare data privacy and compliance concepts, including HIPAA, de-identification methodologies, and data governance frameworks.
  • Understanding of data licensing and commercial data management, including usage rights, licensing terms, volume-based pricing structures, downstream use cases, and audit/compliance requirements.
  • Excellent written and verbal communication skills with the ability to present complex concepts clearly to both technical and non-technical audiences.
  • Demonstrated ability to build credibility and influence across cross-functional teams, including engineering, analytics, sales, and executive leadership.


What Success Looks Like Here

We're looking for someone who is both intellectually curious and highly proactive. Individuals who thrive in this role often demonstrate the following characteristics:

  • Enjoy building processes and playbooks rather than simply following established ones.
  • View ambiguity and process gaps as opportunities to create structure and drive improvement.
  • Take initiative to find answers independently, whether that means reviewing contracts, learning technical concepts, researching data sources, or engaging directly with partners.
  • Balance conviction with adaptability—able to advocate for an idea while remaining open to changing direction when new information or data emerges.
  • Demonstrate strong ownership and accountability for outcomes

Location

This role can be located remotely within the United States. This job posting is expected to close on August 31, 2026.

Compensation

The overall salary range for this role is $78,800 - $145,130. 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 $90,620 - $145,130.
  • All other locations the salary range is $78,800 - $126,200.

A combination of factors will be considered, including, but not limited to, education, relevant work experience, qualifications, skills, certifications, etc.

What makes this a great opportunity?

  • Join an innovative, high growth company with a solid industry track record.
  • Bring your expertise and ideas to directly impact and help build the next generation of MedInsight products and solutions.
  • Enjoy significant visibility in your work and be recognized for your wins.
  • Work for a company that values your wellbeing and professional growth, offering a flexible work environment, generous benefits package, and investment in the development of your career.

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 criteriaLife 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.

    #LI-SM1

    #LI-REMOTE


    Milliman logo

    About Milliman

    Sourced by ZipRecruiter

    Milliman delivers market-leading services and solutions to clients worldwide. Today, we are helping companies take on some of the world's most critical and complex issues, including retirement funding and healthcare financing, risk management and regulatory compliance, data analytics and business transformation.

    Industry

    Business management consulting

    Company size

    1,001 - 5,000 Employees

    Headquarters location

    Seattle, WA, US

    Year founded

    1947