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Data Science Jobs in Milwaukee, WI (NOW HIRING)

Charter Manufacturing Company, Inc.

Data Architect

Mequon, WI · On-site

$56.50 - $72.75/hr

Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or a related discipline; equivalent experience will also be considered. * 6+ years of experience in Data ...

TIER4 GROUP

Senior Data Analyst

Milwaukee, WI · Hybrid

$84K - $106K/yr

Competitive Rates, Benefits, Free Daily Lunch When Onsite Role Summary This Sr. Data Analyst role involves serving as a data scientist supporting marketing efforts for our Fortune 500 client. The ...

Elevance Health

Data Scientist Analyst

Waukesha, WI · On-site +1

Data Scientist Analyst Location: This role requires associates to be in-office 1 day per week ... Requires a Bachelor's degree in Statistics, Computer Science, Mathematics, Machine Learning ...

US Bank

Senior Data Scientist

Brookfield, WI · On-site

$132K - $155K/yr

... science, engineering or applied mathematics, or equivalent work experience - Six to eight years of ... data mining, and predictive analytics - Demonstrated project management skills - Effective ...

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All JobsData Science JobsData Science Jobs in Milwaukee, WI

Data Science information

See Milwaukee, WI salary details

$36.9K

$120.9K

$193.6K

How much do data science jobs pay per year?

As of Aug 11, 2026, the average yearly pay for data science in Milwaukee, WI is $120,927.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,000.00 and $134,000.00 per year, depending on experience, location, and employer.

Is a data scientist in high demand?

Yes, data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

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

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.
More about 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 Data Science jobs in Milwaukee, WI? For Data Science jobs in Milwaukee, WI, the most frequently searched job titles are:
What job categories do people searching Data Science jobs in Milwaukee, WI look for? The top searched job categories for Data Science jobs in Milwaukee, WI are:
What cities near Milwaukee, WI are hiring for Data Science jobs? Cities near Milwaukee, WI with the most Data Science job openings:
Data Science jobs near you
Infographic showing various Data Science job openings in Milwaukee, WI as of August 2026, with employment types broken down into 90% Full Time, and 10% Part Time. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $120,927 per year, or $58.1 per hour.

Data Architect

Charter Manufacturing Company, Inc.

Mequon, WI • On-site

$56.50 - $72.75/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 days ago

Job description

Charter Manufacturing is a fourth-generation family-owned business where our will to grow drives us to do it better. Join the team and become part of our family!
Applicants must be authorized to work for ANY employer in the U.S. Charter Manufacturing is unable to sponsor for employment visas at this time.
This position is hybrid, 3 days a week in office in Mequon, WI.
Data Architect
Position Purpose / Mission
Help shape the future of data across a digitally evolving manufacturing enterprise.
As our Enterprise Data Architect, you will define and drive the data strategy that powers business intelligence, operational excellence, advanced analytics, automation, and emerging AI capabilities. This highly visible role sits at the intersection of business and technology, partnering closely with leaders across Digital, Operations, Supply Chain, and Finance to create scalable, trusted, and accessible data solutions.
You will architect modern data platforms and integration strategies that connect manufacturing systems, ERP platforms, cloud technologies, and analytical applications into a cohesive enterprise ecosystem. Through your leadership, the organization will gain the trusted data foundation needed to accelerate innovation, improve decision-making, and unlock the value of AI and data-driven transformation.
This is an exciting opportunity for a strategic thinker who enjoys solving complex challenges, influencing enterprise technology direction, and building the data capabilities that will shape the future of the business.
Why This Role Matters
  • Influence enterprise-wide data strategy and architecture decisions.
  • Drive modernization initiatives across cloud, analytics, and AI-enabled platforms.
  • Partner directly with business leaders to solve meaningful operational challenges.
  • Design scalable solutions that impact manufacturing, supply chain, finance, and customer-facing processes.
  • Establish the foundation for advanced analytics, automation, machine learning, and AI adoption.
  • Mentor and guide technical teams while promoting modern architecture best practices.

What You'll Bring
Required Qualifications
  • Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or a related discipline; equivalent experience will also be considered.
  • 6+ years of experience in Data Architecture, Data Engineering, Data Integration, Analytics Architecture, or enterprise-scale data platform design.
  • Proven success designing enterprise data ecosystems that support both operational and analytical workloads.
  • Strong understanding of modern data modeling techniques, including normalized, dimensional, canonical, and domain-driven approaches.
  • Experience establishing governance practices that improve data quality, lineage, security, and trust.
  • Hands-on knowledge of cloud data technologies, data warehouses, data lakes, APIs, and integration frameworks.
  • Demonstrated ability to translate complex business requirements into scalable technical solutions.
  • Exceptional communication skills with the ability to influence stakeholders across both technical and non-technical audiences.
Preferred Qualifications
  • Experience within manufacturing, supply chain, industrial technology, or ERP-centric environments.
  • Oracle EBS experience preferred.
  • Experience with Azure Data Services, Snowflake, Databricks, PySpark, SQL, Python, Tableau, Power BI, Alteryx, Kafka, CDC, and event-driven architectures.
  • Exposure to AI/ML platforms, predictive analytics, Industrial IoT, and enterprise data governance programs.
  • Experience leading data modernization or digital transformation initiatives at scale.

Key Responsibilities
Enterprise Data Strategy & Architecture
  • Design and evolve enterprise data architecture that supports business growth, analytics, automation, and AI initiatives.
  • Establish scalable patterns for data ingestion, integration, storage, transformation, and consumption across hybrid cloud and on-premises environments.
  • Define architectural standards for APIs, ETL/ELT, streaming, CDC, event-driven solutions, and reusable data products.
Data Governance & Platform Excellence
  • Champion enterprise standards for data quality, lineage, metadata management, security, and compliance.
  • Develop trusted, governed data assets that improve consistency, reliability, and accessibility across the organization.
  • Guide the adoption of modern architecture principles and best practices across data teams.
Analytics, AI & Innovation
  • Enable advanced manufacturing and operational analytics, including predictive maintenance, supply chain visibility, operational intelligence, and AI-ready data solutions.
  • Partner with analytics, engineering, and business teams to accelerate self-service reporting, data science, and machine learning initiatives.
  • Help define the future-state architecture that supports emerging AI and automation capabilities.
Leadership & Collaboration
  • Facilitate architecture reviews and strategic planning sessions that align business objectives with technology solutions.
  • Collaborate with cross-functional teams to solve complex technical challenges and drive enterprise consistency.
  • Mentor technical professionals, share best practices, and foster a culture of innovation and continuous improvement.
  • Communicate architectural vision and recommendations effectively to executives, business leaders, and technical stakeholders.

What Makes This Opportunity Unique
This role offers a rare opportunity to influence enterprise strategy while remaining hands-on with modern data technologies. You'll help build the foundation for next-generation analytics and AI capabilities, partner with leaders across the organization, and play a critical role in the company's ongoing digital transformation journey.
The ideal candidate is energized by creating order from complexity, connecting technology to business outcomes, and building data ecosystems that drive meaningful impact.
We offer comprehensive health, dental, and vision benefits, along with a 401(k) plan that includes employer matching and profit sharing. Additionally, we offer company-paid life insurance, disability coverage, and paid time off (PTO).

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