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Data Scientist Forecasting Remote Jobs in Wisconsin

Good Culture

Quality Data Analyst

La Crosse, WI · On-site +1

Remote (WI or MN based candidates preferred) REPORTS TO: Quality Systems Manager DEPARTMENT ... B.S. in Food Science, Biology, Chemistry, Computer Science, Business, Statistics, or a related ...

Good Culture

Quality Data Analyst

La Crosse, WI · On-site +1

Remote (WI or MN based candidates preferred) REPORTS TO: Quality Systems Manager DEPARTMENT ... B.S. in Food Science, Biology, Chemistry, Computer Science, Business, Statistics, or a related ...

SysLogic, Inc.

Senior Data Engineer

Brookfield, WI · Remote

$100K - $136K/yr

... science solutions * Referenceable work history developing interactive dashboards and data ... This remote role is only open to individuals that reside in one of the following states at the time ...

micro1 AI

Cheminformatics Specialist - Remote

Madison, WI · On-site +1

$90 - $120/hr

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific ... Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with ...

SysLogic, Inc.

Senior Data Engineer

Brookfield, WI · On-site +1

$100K - $136K/yr

... science solutions * Referenceable work history developing interactive dashboards and data ... This remote role is only open to individuals that reside in one of the following states at the time ...

micro1 AI

Cheminformatics Specialist - Remote

Kenosha, WI · On-site +1

$90 - $120/hr

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific ... Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with ...

CSAA

You will partner with Data Engineering, Data Science, Architecture, Infrastructure, Security, and ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

New

CSAA

You will partner with Data Engineering, Data Science, Architecture, Infrastructure, Security, and ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

New

CSAA

You will partner with Data Engineering, Data Science, Architecture, Infrastructure, Security, and ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

New

CSAA

You will partner with Data Engineering, Data Science, Architecture, Infrastructure, Security, and ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

New

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All JobsData Scientist Forecasting JobsData Scientist Forecasting Remote JobsData Scientist Forecasting Remote Jobs in Wisconsin

Data Scientist Forecasting Remote information

What does a data scientist specializing in forecasting do when working remotely?

A Data Scientist in Forecasting working remotely uses statistical models, machine learning algorithms, and large datasets to predict future trends or outcomes for a business. Their tasks often include gathering and cleaning data, building predictive models, evaluating their accuracy, and communicating findings to stakeholders. Remote data scientists collaborate with teams through virtual meetings and cloud-based tools, ensuring their forecasts support business decisions. The remote aspect offers flexibility but requires strong communication and self-management skills.

How does a remote data scientist specializing in forecasting typically collaborate with cross-functional teams?

Remote Data Scientists in forecasting roles regularly collaborate with product managers, engineers, and business analysts through virtual meetings, shared dashboards, and project management tools. They are often responsible for presenting forecast results, discussing model assumptions, and incorporating stakeholder feedback to refine predictions. Effective communication and documentation are crucial, as team members may operate across different time zones. This collaborative environment helps ensure that forecasting models align with business goals and can be effectively integrated into decision-making processes.

What are the key skills and qualifications needed to thrive as a data scientist specializing in forecasting in a remote role?

To thrive as a Data Scientist specializing in Forecasting, you need a strong background in statistics, mathematics, and machine learning, usually supported by a degree in a quantitative field. Proficiency with programming languages such as Python or R, experience with forecasting libraries (like Prophet or ARIMA), and familiarity with cloud-based data platforms are typically required. Excellent communication, problem-solving abilities, and self-motivation are crucial soft skills for collaborating remotely and translating complex findings into actionable insights. These skills and qualities are vital for building accurate predictive models and ensuring effective decision-making in distributed teams.

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

AspectData Scientist Forecasting RemoteData Analyst Forecasting Remote
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related field; often some experience with machine learningBachelor's in Data Analysis, Statistics, or related field; typically less emphasis on advanced modeling
Work EnvironmentCollaborative teams, often in tech or finance industries; remote work commonBusiness units, marketing, or finance teams; remote options widely available
Employer & Industry UsageTech companies, finance, e-commerce; focus on predictive modeling and forecastingRetail, marketing, finance; focus on reporting and trend analysis

Data Scientist Forecasting Remote roles focus on advanced predictive modeling and machine learning, requiring higher technical skills and credentials. Data Analysts Forecasting Remote positions emphasize data reporting and trend analysis with less emphasis on complex modeling. Both roles are often remote and serve similar industries, but differ in technical depth and responsibilities.

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

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

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

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

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

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

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

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

Data Scientist Forecasting Remote jobs near you
Infographic showing various Data Scientist Forecasting Remote job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Staff Data Engineer, Data Platform - IntelliScript (Remote)

Milliman

Brookfield, WI • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago

Milliman rating

8.5

Company rating: 8.5 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

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 November 30, 2026. This position is open to remote work anywhere in the US. 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 11 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.
#LI-REMOTE & #LI-LA1
#IntelliScript
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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About Milliman

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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 and fitness and sports centers

Company size

1,001 - 5,000 Employees

Headquarters location

Seattle, WA, US

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