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Data Science Jobs in Wisconsin (NOW HIRING)

NewYork-Presbyterian

Senior Data Scientist

Cornell, WI · On-site

Demonstrates proficiency in the end-to-end data science pipeline from data ingestion and cleaning to experimenting with predictive models to deployment of results. * Writes, validates, and executes ...

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$198.3K

How much do data science jobs pay per year?

As of Jul 24, 2026, the average yearly pay for data science in Wisconsin is $123,886.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,400.00 and $137,300.00 per year, depending on experience, location, and employer.

Is data science a good career?

Data science is a growing field with high demand for professionals skilled in statistics, programming, and data analysis tools like Python and R. It offers competitive salaries, diverse industry applications, and opportunities for advancement, making it a strong career choice for those with relevant skills and education.

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.

Is 40 too late for data science?

Data science is a field open to individuals of all ages, and many professionals transition into it later in their careers. Success often depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned through online courses, bootcamps, or degrees regardless of age.

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 jobs can a Data Scientist do?

A Data Scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.

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 work do you do as a Data Scientist?

A Data Scientist analyzes large datasets to extract insights, build predictive models, and inform business decisions. They use programming languages like Python or R, and tools such as SQL and machine learning frameworks, often working in collaborative environments with data engineers and analysts.

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 Wisconsin? The most popular types of Data Science jobs in Wisconsin are:
What are popular job titles related to Data Science jobs in Wisconsin? For Data Science jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Data Science jobs in Wisconsin look for? The top searched job categories for Data Science jobs in Wisconsin are:
What cities in Wisconsin are hiring for Data Science jobs? Cities in Wisconsin with the most Data Science job openings:
Data Science jobs near you
Infographic showing various Data Science job openings in Wisconsin as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $123,886 per year, or $59.6 per hour.

Senior Data Scientist

NYP - Westchester Division

Cornell, WI • On-site

Full-time

Medical, Life

Posted 7 days ago

Job description

LocationNew York, New YorkShift:Day (United States of America)Description:

Senior Data Scientist

Position Summary

Works closely with multi-disciplinary teams, including intuitional leaders and other key stakeholders in the development and implementation of data driven insights and strategies to advance institutional goals and mission. Performs advanced analyses of structured and unstructured data to solve multiple and/or complex problems using advanced statistical techniques, mathematical analyses (including machines learning), and knowledge of the organization and/or industry.

Essential Job Duties

  • Assists in translating project objectives into discrete and comprehensive description of necessary data and other resources. Aids in the development plan(s) to mitigate impact due to any limitations in available data/resources.
  • Assists in the definition of milestones, deliverables, and estimates timelines for all assigned projects. Assumes an ownership role of some tasks, as appropriate, and effectively coordinates across teams to reach defined milestones.
  • Identifies and accesses necessary data assets across cloud and on-premises data warehouses.
  • Collaborates with subject matter experts to ensure accurate data definitions and to validate quality of all data endpoints as required.
  • Utilizes strong programming skills to evaluate, explore, model, and integrate data from a variety of sources (EHR, national databases, other registries, other data systems/platforms). Demonstrates experience working with data from diverse modalities (structured, unstructured).
  • Develops and/or uses algorithms and statistical predictive models. Applies proficient knowledge in algorithms and predictive models to investigate problems, detect patterns, and relate findings to project's objective(s).
  • Demonstrates proficiency in the end-to-end data science pipeline from data ingestion and cleaning to experimenting with predictive models to deployment of results.
  • Writes, validates, and executes code to perform required modeling or analytical tasks by way of cloud and local compute environments (CPU or GPU).
  • Creates informative and detailed reports, as well as data visualizations to summarize data and results; understands and evaluates appropriate performance metrics.
  • Actively engages in meetings with stakeholders. Contributes content to, and may lead, presentations or auxiliary discussions of summary reports with audience.
  • Follows best practices in documentation and use of code repositories, containers/environments, and version control. Works to ensure best practices are upheld and enforced.
  • Adheres to all institutional policies and practices for appropriate use and safeguarding of data.
  • Assists junior data scientists with tasks, as appropriate.
  • Maintains multiple projects simultaneously and functions effectively both independently and as part of a team.
  • Keeps abreast of innovative technologies and approaches pertinent to data science; evaluates their applicability and fit for current projects.
  • Performs other special projects and duties as assigned.

Required Qualifications

  • Graduate Degree in Medicine, Biomedical Informatics, Epidemiology, Computer Science, Data Science, Engineering, Public Health, Economics, Biostatistics, Health Policy, Statistics, Biometrics, or equivalent experience
  • 3+ years of research experience in managing and analyzing data, and proven expertise working with clinical and research information systems
  • Strong analytic skills and ability to use a variety of software tools such as R, SAS, SQL, MS Excel, and MS Access
  • Experience analyzing and interpreting data, maintaining and managing large datasets, and ensuring the integrity of the data
  • Outstanding interpersonal skills and the ability to excel in team collaboration as well as in independent work

Preferred Qualifications

  • Doctorate Degree in Medicine, Biomedical Informatics, Epidemiology, Computer Science, Data Science, Engineering, Public Health, Economics, Biostatistics, Health Policy, Statistics, or Biometrics

Join a healthcare system where employee engagement is at an all-time high. Here we foster a culture of respect, belonging, and inclusion. Enjoy comprehensive and competitive benefits that support you and your family in every aspect of life. Start your life-changing journey today.

Please note that all roles require on-site presence (variable by role). Therefore, all employees should live within a commutable distance to NYP.

NYP will not reimburse for travel expenses.

__________________

  • 2026 Best Companies in Healthcare, Biotech & Pharma - Glassdoor

  • 2026 Best Place to Work - Glassdoor

  • 2026 America's Best Large Employers - Forbes

  • 2026 America's Best-In-State Employers - Forbes

  • 2026 America's Dream Employers - Forbes

  • 2026 America's Greatest Workplaces for Culture, Belonging & Community - Newsweek

  • 2026 Best Places to Work in IT - Computerworld

  • 2025 Great Place to Work Certified

  • 2025 Best Employers for Women - Forbes

  • 2025 Companies that Care - People

  • 2025 America's Greatest Workplaces for Mental Well-Being - Newsweek

NewYork-Presbyterian Hospital is an equal opportunity employer.

Salary Range:

$97,000-$145,000/Annual

It all begins with you. Our amazing compensation packages start with competitive base pay and include recognition for your experience, education, and licensure. Then we add our amazing benefits, countless opportunities for personal and professional growth and a dynamic environment that embraces every person. Join our team and discover where amazing works.

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