ZipRecruiter

Log In

1

Scientist Python Jobs in Madison, WI (NOW HIRING)

Wisconsin

Data Scientist II

Madison, WI · On-site +1

$80K/yr

Data Scientist II Job Summary: The Office of Informatics and Information Technology (IIT) is ... Experience writing Python code to manipulate and analyze datasets * Experience developing analytics ...

Ametek

R&D Scientist

Madison, WI

MS or PhD in Materials Science, Engineering, Physics, or a related field (required) * 6-8 years of ... Proficiency with lab automation tools (Python, AI code generation, National Instruments LabVIEW)

Ametek

R&D Scientist

Madison, WI · On-site

MS or PhD in Materials Science, Engineering, Physics, or a related field (required) * 6-8 years of ... Proficiency with lab automation tools (Python, AI code generation, National Instruments LabVIEW)

Varsity Tutors

Data Science Tutor

Madison, WI · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

Labcorp

Nonclinical Data Associate

Madison, WI · On-site

$19 - $24/hr

SAS, R, Python or willingness to learn within 1st year of employment. * Preclinical life science experience or exposure * Basic knowledge of office software (e.g., Microsoft Office, especially Word ...

New

Danaher

Software Engineer Internships

Whitewater, WI · On-site

Writing and debugging code in languages such as C#, Java, Python, or C++ * Participating on an ... Students graduating in 2026 or later with a Bachelor's degree in Computer Science, Software ...

Danaher

Software Engineer Internships

Madison, WI · On-site

Writing and debugging code in languages such as C#, Java, Python, or C++ * Participating on an ... Students graduating in 2026 or later with a Bachelor's degree in Computer Science, Software ...

Farm Systems

Sr. Data Engineer

Madison, WI

$114K - $137K/yr

Optimize data flow performance and minimize data latency across scientific and business use cases ... Develop and maintain Databricks pipelines, notebooks, and datasets using Python, Spark, and SQL.

Urus Group LP

Sr. Data Engineer

Madison, WI

$115K - $138K/yr

Optimize data flow performance and minimize data latency across scientific and business use cases ... Develop and maintain Databricks pipelines, notebooks, and datasets using Python, Spark, and SQL.

next page

Showing results 1-20

All JobsScientist Python JobsScientist Python Jobs in Madison, WI

Scientist Python information

See Madison, WI salary details

$37.8K

$123.7K

$198K

How much do scientist python jobs pay per year?

As of Jul 19, 2026, the average yearly pay for scientist python in Madison, WI is $123,675.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,300.00 and $137,000.00 per year, depending on experience, location, and employer.

How do Scientist Python roles typically collaborate with other team members during research and development projects?

Scientist Python professionals frequently work in multidisciplinary teams, collaborating closely with data scientists, domain experts, and software engineers. They are often responsible for developing and implementing Python-based models or algorithms, then integrating their work with broader research goals or product pipelines. Regular communication, code reviews, and shared documentation are common practices to ensure alignment and reproducibility. This collaborative environment offers opportunities to learn from peers and contribute to diverse projects, fostering both technical and professional growth.

What does a Scientist Python do?

A Scientist Python, often referred to as a Python Scientist or Data Scientist specializing in Python, uses the Python programming language to analyze data, build predictive models, and solve scientific or business problems. They work with large datasets, apply statistical and machine learning techniques, and create visualizations to interpret results. Their work often involves writing code to clean, manipulate, and analyze data efficiently. Python's extensive libraries, such as Pandas, NumPy, and SciPy, make it a popular choice for scientific computing and data science tasks.

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

To thrive as a Scientist Python, you need strong programming skills in Python, a solid background in scientific methods or data analysis, and typically an advanced degree in a relevant field such as computer science, physics, or biology. Experience with data analysis libraries (e.g., NumPy, pandas, SciPy), machine learning frameworks (e.g., scikit-learn, TensorFlow), and version control systems is commonly required. Critical thinking, effective communication, and problem-solving abilities help distinguish top performers in this role. These skills enable efficient data-driven research, reproducible scientific workflows, and successful collaboration in multidisciplinary environments.

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

AspectScientist PythonData Analyst Python
Required CredentialsBachelor's or Master's in Science, Data Science, or related fields; Python proficiencyBachelor's in Statistics, Data Analysis, or related fields; Python skills
Work EnvironmentResearch labs, R&D departments, tech companiesBusiness intelligence teams, marketing, finance departments
Employer & Industry UsageResearch institutions, tech firms, healthcareCorporate, finance, retail, marketing
Common Search & ComparisonYesYes

Scientist Python and Data Analyst Python roles share similar skills like Python programming and data handling. However, Scientists typically focus on research, experimentation, and developing new models, often working in research-heavy environments. Data Analysts concentrate on interpreting existing data to inform business decisions, working mainly in corporate settings. Both roles require strong analytical skills and Python expertise, but their focus and work environments differ significantly.

What are popular job titles related to Scientist Python jobs in Madison, WI? For Scientist Python jobs in Madison, WI, the most frequently searched job titles are:
What job categories do people searching Scientist Python jobs in Madison, WI look for? The top searched job categories for Scientist Python jobs in Madison, WI are:
Scientist Python jobs near you
Infographic showing various Scientist Python job openings in Madison, WI as of July 2026, with employment types broken down into 1% Internship, 85% Full Time, 10% Part Time, and 4% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $123,675 per year, or $59.5 per hour.
Data Scientist

Data Scientist

State of Wisconsin Investment Board

Madison, WI • On-site

Full-time

Re-posted 17 days ago

Job description

Sophisticated Work. In a Great City. Making a Difference.
The State of Wisconsin Investment Board (SWIB) manages more than $178 billion in assets, including those of the fully-funded Wisconsin Retirement System (WRS). SWIB operates at a level more often seen in top-tier global asset managers than in typical public pension funds. SWIB is a home for top talent. Approximately 61 percent of SWIB's investment professionals are Chartered Financial Analyst (CFA) charterholders.
The City of Madison, the state capitol and home of Wisconsin's flagship university, makes regular appearances on lists of best places to live, eat, and play. SWIB offers a modern workspace, hybrid work options, and competitive compensation and benefits.
Serving over 703,000 WRS beneficiaries, SWIB is driven by a clear mission: securing the financial future of those who serve Wisconsin. When you work at SWIB, you know your work matters.
Job Description:
About the Team
Data Services & Engineering Teams at SWIB supports, implements & develops industry-leading systems and platforms to support SWIB's diverse and complex set of investment portfolios and strategies. The team at SWIB strives to be a trusted advisor and partner to the business that is valued as a critical contributor to SWIB's continued growth and success. We effectively leverage technology to derive the maximum value from it and achieve SWIB's business goals. We keep technology aligned with SWIB's future direction and operate SWIB's technology according to industry standards.
Position Overview
Essential activities:
  • Lead the design, development, validation, and deployment of advanced analytics, AI, and machine learning solutions that enable data-driven investment decision-making.
  • Own the technical approach for analytics products end-to-end: problem framing, data requirements, modeling, evaluation, deployment, monitoring, and ongoing iteration.
  • Architect and deploy solutions using GitLab (merge requests, CI/CD pipelines, automated testing, release management) and Terraform (infrastructure as code), establishing strong engineering practices and reproducibility.
  • Design, evaluate, and deploy AI-enabled analytical solutions measuring output quality, detecting hallucinations, and ensuring reliability for decision-making.
  • Implement data quality, validation, and AI evaluation frameworks; define reliability metrics, testing protocols, and monitoring controls ensuring outputs are accurate, traceable, and explainable.
  • Design and develop analytics applications and internal tools, including lightweight front-end interfaces (Power BI, Streamlit, React, or similar tools) to communicate findings and drive adoption; apply UI/UX principles ensuring usability, clarity, and intuitive workflows; craft clear narratives about assumptions, limitations, and implications.
  • Deploy analytics solutions in cloud environments (Azure or AWS), partnering with engineering/security to ensure secure, scalable, cost-aware deployments.
  • Utilize data warehousing technologies (e.g., Snowflake) to support analytics initiatives; collaborate on data modeling and performant query patterns.
  • Communicate complex concepts clearly to technical and non-technical stakeholders; translate investment needs into analytical roadmaps and measurable outcomes.
  • Serve as a liaison across investment teams and partner functions (IT, Operations, Legal, HR, Strategic Planning, etc.) to support change management and adoption of analytics solutions.
  • Act as a senior team contributor: provide design input, conduct code and analysis reviews, share patterns and best practices, and coach junior staff through pairing, feedback, and knowledge sharing.

The ideal candidate:
  • Bachelor's degree required; advanced degree preferred in finance, business, engineering, computer science, computational economics, math, data science, or related discipline.
  • Experience in investment management, quantitative finance, and technology; progress toward or completion of the CFA designation is preferred.
  • 5+ years of experience in data science, analytics, quantitative research, or similar roles.
  • 2+ years of experience designing and deploying AI-enabled analytical solutions measuring output quality, detecting hallucinations, and ensuring reliability for decision-making.
  • Strong proficiency in Python and SQL for advanced analytics, data engineering, and model development in production contexts.
  • Proven experience deploying and operating production code using GitLab, including CI/CD, merge request workflows, automated testing, and release management.
  • Experience using Terraform to provision and manage cloud infrastructure as code.
  • Experience building and deploying ML models using modern techniques (regression, classification, clustering, time series/forecasting) with strong evaluation practices and sound statistical reasoning.
  • Experience implementing data quality frameworks, validation controls, and reliability metrics/processes for analytical outputs and reports.
  • Strong experience with cloud platforms (Azure or AWS) for data storage/processing and deploying analytics solutions; familiarity with security and operational considerations.
  • Experience with data warehousing platforms (e.g., Snowflake) to support scalable analytics initiatives.
  • Excellent communication skills with the ability to influence decisions through clear storytelling and stakeholder partnership.
  • Demonstrated ability to collaborate effectively, coach junior staff, and elevate team standards through reviews, reusable patterns, and documentation.
  • Strong work ethic, attention to detail, and commitment to disciplined delivery (documentation, Jira ticketing, and best practices).

SWIB Offers:
  • Competitive total cash compensation, based on AON (formerly McLagan) industry benchmarks
  • Comprehensive benefits package
  • Educational and training opportunities
  • Tuition reimbursement
  • Challenging work in a professional environment
  • Hybrid work environment

The position requires U.S. work authorization.
Pursuant to our Hybrid Remote Work Policy, all staff have the flexibility to work remotely, but are required to have a weekly presence in our offices, the frequency of which is dependent on their distance from office. Staff are not required to reside locally; however, we offer relocation reimbursement to the Dane County area per our policy.
All SWIB employees are subject to SWIB's Ethics Policy and Personal Trade Approvals Policy. These policies include restrictions on outside business activities and employment and have limits on personal trading. You may request copies of these policies from SWIB's talent acquisition team and any questions can be answered by SWIB's compliance team.

Apply