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Applied Statistics Jobs in Wisconsin (NOW HIRING)

Howard

PostDoctoralResearchAssociate-2

Downing, WI · On-site

$60K - $70K/yr

Experience with statistical and machinelearning techniques applied to timeseries or spatial data. * Strong organizational skills: ability to manage multiple tasks, adhere to deadlines, and ...

Wisconsin

Data Scientist II or III

Madison, WI

$85K/yr

At least five years of relevant experience in health-related applied research, statistics, and analytics. * Advanced proficiency with statistical software and programming languages, specifically ...

6AM City

Post Doctorate Research Associate

Wausau, WI · On-site +1

The Associate will support and lead a diverse portfolio of applied research projects aimed at ... quantitative and statistical skills (R, Python, or equivalent) Expertise in GIS and spatial ...

New

6AM City

Post Doctorate Research Associate

Wausau, WI · On-site +1

The Associate will support and lead a diverse portfolio of applied research projects aimed at ... quantitative and statistical skills (R, Python, or equivalent) Expertise in GIS and spatial ...

New

Tiger Analytics

WI · On-site

Utilize advanced statistical techniques and data science algorithms to analyze large datasets and ... MS or PhD in Computer Science, Operations Research, Applied Mathematics, Machine Learning, or a ...

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Showing results 41-60

All JobsApplied Statistics JobsApplied Statistics Jobs in Wisconsin

Applied Statistics information

See Wisconsin salary details

$40.9K

$84.4K

$118.1K

How much do applied statistics jobs pay per year?

As of Aug 9, 2026, the average yearly pay for applied statistics in Wisconsin is $84,439.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,500.00 and $117,100.00 per year, depending on experience, location, and employer.

What does an applied statistics do?

Professionals in Applied Statistics can expect to work on projects involving data collection, cleaning, statistical modeling, and interpretation of results for practical applications in fields like healthcare, finance, marketing, or engineering. Daily responsibilities may include designing experiments or surveys, performing hypothesis testing, and creating actionable reports or presentations for non-technical audiences. Collaboration with multidisciplinary teams—such as data scientists, subject matter experts, and business leaders—is common to ensure data-driven solutions align with organizational goals. This diversity of tasks provides valuable learning experiences and opportunities for career growth into roles such as senior analyst, data scientist, or statistical consultant.

What is an applied statistics?

An Applied Statistics job involves using statistical methods and data analysis techniques to solve real-world problems across various industries. Professionals in this field apply mathematical models, statistical software, and analytical reasoning to interpret data, make informed decisions, and optimize processes. They often work in sectors like healthcare, finance, marketing, and technology, providing insights and recommendations based on data trends.

Is applied statistics a good career?

Applied statistics is a strong career choice for those interested in data analysis, modeling, and decision-making, often requiring skills in programming languages like R or Python. It offers diverse opportunities across industries such as healthcare, finance, and technology, with competitive salaries and growth potential. Success typically depends on strong analytical skills, statistical knowledge, and the ability to communicate findings effectively.

What can you do with an applied statistics degree?

An applied statistics degree prepares individuals for roles such as data analyst, statistician, or data scientist, involving data collection, analysis, and interpretation using tools like R or Python. Graduates can work in industries like healthcare, finance, marketing, or technology, often requiring strong analytical skills and knowledge of statistical methods. Certifications in data analysis or machine learning can enhance job prospects.

What are the key skills and qualifications needed to thrive in applied statistics?

To thrive in Applied Statistics, you need a solid background in statistical theory, data analysis, and mathematical modeling, typically with a degree in statistics, mathematics, or a related field. Familiarity with statistical software such as R, SAS, Python, or SPSS, and often certifications in analytics or data science, is important. Strong analytical thinking, effective communication, and problem-solving abilities help set candidates apart. These skills ensure accurate analysis of complex data, meaningful interpretation for stakeholders, and valuable contributions to evidence-based decision making.

What are popular job titles related to Applied Statistics jobs in Wisconsin? For Applied Statistics jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Applied Statistics jobs in Wisconsin look for? The top searched job categories for Applied Statistics jobs in Wisconsin are:
What cities in Wisconsin are hiring for Applied Statistics jobs? Cities in Wisconsin with the most Applied Statistics job openings:
Applied Statistics jobs near you
Infographic showing various Applied Statistics job openings in Wisconsin as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $84,439 per year, or $40.6 per hour.

PostDoctoralResearchAssociate-2

Howard

Downing, WI • On-site

$60K - $70K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 19 days ago

Job description

The Talent Acquisition department hires qualified candidates to fill positions which contribute to the overall strategic success of Howard University. Hiring staff "for fit" makes significant contributions to Howard University's overall mission.

At Howard University, we prioritize well-being and professional growth.

Here is what we offer:

  • Health & Wellness: Comprehensive medical, dental, and vision insurance, plus mental health support
  • Work-Life Balance: PTO, paid holidays, flexible work arrangements
  • Financial Wellness: Competitive salary, 403(b) with company match
  • Professional Development: Ongoing training, tuition reimbursement, and career advancement paths
  • Additional Perks: Wellness programs, commuter benefits, and a vibrant company culture

Join Howard University and thrive with us!

https://hr.howard.edu/benefits-wellness

JOB PURPOSE:

Howard University's University Transportation Center seeks a highly qualified Postdoctoral Research Associate specializing in structural health monitoring (SHM) of transportation infrastructure. The associate will lead and support federally funded projects aimed at developing and deploying advanced sensing, data analysis, and systemidentification techniques to assess the condition of

transportation assets.

SUPERVISORY AUTHORITY: NA

NATURE AND SCOPE:

Support transportation engineering research at Howard University. The role engages with internal faculty and researchers, as well as external partners.

PRINCIPAL ACCOUNTABILITIES:

  • Support the Center's mission by managing and executing research activities on transportation infrastructure safety, research implementation, and technology transfer initiatives.
  • Collaborate with internal faculty, researchers, and external partners to plan and carry out research to design, implement, and validate structural health monitoring (SHM) methods.
  • Conduct field deployments; process largescale timeseries data; apply statistical, machinelearning, computer vision, and signalprocessing methods to detect damage or degradation.
  • Contribute to proposal writing, technical reports, presentations, and peer-reviewed publications.
  • Facilitate workshops, seminars, and public engagement events related to transportation engineering.
  • Assist in meeting all reporting requirements for sponsored research projects.

CORE COMPETENCIES:

  • Ph.D. in Civil Engineering, Structural Engineering, or a closely related field.
  • Demonstrated expertise in structural health monitoring, system identification, and signal processing.
  • Proficiency with system identification methods, structural dynamics, and programming environments (e.g., MATLAB, Python).
  • Experience with statistical and machinelearning techniques applied to timeseries or spatial data.
  • Strong organizational skills: ability to manage multiple tasks, adhere to deadlines, and collaborate across disciplines.
  • Excellent written and oral communication skills, evidenced by peer-reviewed publications or conference presentations.
  • Ability to work both independently and as part of a diverse research team.

MINIMUM REQUIREMENTS:

Ph.D. in a scientific and/or research discipline related to the research projects.

Compliance Salary Range Disclosure

$60,000-$70,000

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