1

Statistical Data Jobs in Wisconsin (NOW HIRING)

Bachelor's degree in Statistics, Data Science, Computer Science, Operations Research or a related field and 4 years in any job title involving statistical and machine learning modeling experience.

The Maintenance Technician will perform machine calibrations, compile and analyze statistical data for critical equipment, and assist with machine optimization as needed. Responsibilities * Support ...

The Maintenance Technician will perform machine calibrations, compile and analyze statistical data for critical equipment, and assist with machine optimization as needed. Responsibilities * Support ...

The Maintenance Technician will perform machine calibrations, compile and analyze statistical data for critical equipment, and assist with machine optimization as needed. Responsibilities * Support ...

The Maintenance Technician will perform machine calibrations, compile and analyze statistical data for critical equipment, and assist with machine optimization as needed. Responsibilities * Support ...

Guide the development and application of advanced statistical, machine learning, and AI-driven ... Own delivery outcomes for data science and AI workstreams, ensuring solutions meet quality ...

Quality Technician

Madison, WI · On-site

$18.25 - $24.50/hr

Tests and inspects products at various stages of production process and compiles and evaluates statistical data to determine and maintain quality and reliability of products by performing the ...

Quality Technician

Madison, WI

$18.25 - $24.50/hr

Tests and inspects products at various stages of production process and compiles and evaluates statistical data to determine and maintain quality and reliability of products by performing the ...

Bachelor's Degree in a quantitative discipline such as Statistics, Data Science, Computer Science, Mathematics, or a related field * Master's Degree or Ph.D. Preferred Experience Requirements This ...

Bachelor's Degree in a quantitative discipline such as Statistics, Data Science, Computer Science, Mathematics, or a related field * Master's Degree or Ph.D. Preferred Experience Requirements This ...

Bachelor's Degree in a quantitative discipline such as Statistics, Data Science, Computer Science, Mathematics, or a related field * Master's Degree or Ph.D. Preferred Experience Requirements This ...

Tests and inspects products at various stages of production process and compiles and evaluates statistical data to determine and maintain quality and reliability of products by performing the ...

Tests and inspects products at various stages of production process and compiles and evaluates statistical data to determine and maintain quality and reliability of products by performing the ...

Ability to explain data types, summary statistics, correlation analysis, and visualization best practices while preparing students for business analysis roles, analytics positions, and data-driven ...

Ability to explain data types, summary statistics, correlation analysis, and visualization best practices while preparing students for business analysis roles, analytics positions, and data-driven ...

next page

Showing results 1-20

Statistical Data information

What are the key skills and qualifications needed to thrive as a Statistical Data Analyst, and why are they important?

To thrive as a Statistical Data Analyst, you need strong quantitative skills, expertise in statistics, and a relevant degree such as mathematics, statistics, or data science. Proficiency with tools like R, Python, SQL, and statistical software (e.g., SPSS, SAS) as well as data visualization platforms is typically required. Critical thinking, attention to detail, and effective communication skills help analysts interpret data accurately and share insights with stakeholders. These competencies ensure reliable data analysis, support evidence-based decisions, and drive organizational success.

What are some common challenges faced by professionals working in statistical data roles, and how can they be addressed?

Professionals in statistical data roles often encounter challenges such as managing large, complex datasets, ensuring data quality, and effectively communicating statistical findings to non-technical stakeholders. Dealing with incomplete or inconsistent data is common, and requires strong analytical and problem-solving skills to clean and validate information. Collaborating closely with cross-functional teams, staying updated on the latest statistical software, and developing clear data visualization skills can help address these challenges and enhance the impact of your work.

What is the difference between Statistical Data vs Data Analyst?

AspectStatistical DataData Analyst
Required CredentialsNone specific; often involves understanding data collectionBachelor's degree in statistics, data science, or related field
Work EnvironmentData collection, storage, and management environmentsAnalyzing data, creating reports, and visualizations
Industry UsageUsed across industries for data collection and storageApplied in business, finance, healthcare, and more for insights
Search & Comparison IntentUnderstanding raw data types and sourcesComparing roles focused on data analysis and interpretation

Statistical Data refers to raw or processed data used for analysis, while Data Analyst is a professional role that interprets and visualizes this data to support decision-making. Both are integral to data-driven industries but serve different functions within the data lifecycle.

What are statistical data analysts?

Statistical data analysts are professionals who collect, process, and interpret quantitative data to help organizations make informed decisions. They use statistical techniques and software tools to analyze datasets, identify trends, and solve problems. Their work is crucial in fields such as business, healthcare, government, and research, where data-driven insights are essential. Statistical data analysts often present their findings in reports or visualizations to guide strategic planning.
What are popular job titles related to Statistical Data jobs in Wisconsin? For Statistical Data jobs in Wisconsin, the most frequently searched job titles are:
What cities in Wisconsin are hiring for Statistical Data jobs? Cities in Wisconsin with the most Statistical Data job openings:
Sr Data Scientist

Sr Data Scientist

Fiserv, Inc.

Milwaukee, WI • On-site

Full-time

Posted 7 days ago


Fiserv rating

7.6

Company rating: 7.6 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

106th of 138 rated financial services


Job description

Calling all innovators - find your future at Fiserv.
We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants and consumers to one another millions of times a day - quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we're involved. If you want to make an impact on a global scale, come make a difference at Fiserv.
Job Title
Sr Data Scientist
TITLE: Sr Data Scientist
EMPLOYER: Fiserv Solutions, LLC
LOCATION: Milwaukee, WI (and various unanticipated locations throughout the US subject to authorization from management)
DUTIES: Build and support Fiserv small business index and similar macroeconomics statistics to represent the US census small business sales growth/decline at geography and industry level using Fiserv small business merchants' information which represent the US census. Contribute to the Fiserv small business index methodology and script development using application of multiple statistical techniques to correlate Fiserv Small Business Index well with the known US government statistics including MRTS and Census. Identify the reason behind shift in the growth at geography/industry level. Build and support AI/ML/DL forecasting models for FSBI, CPI, MRTS, PCE and other macroeconomic KPIs using Fiserv and external data.
REQUIREMENTS: Bachelor's degree in Statistics, Data Science, Computer Science, Operations Research or a related field and 4 years in any job title involving statistical and machine learning modeling experience. Prior experience must include: 4 years building and maintaining indexes using Consumer, Merchant, Payment, Banking, and macroeconomic data; 4 years working with frameworks including PySpark, TensorFlow, scikit-learn, Xgboost, DASK, and Ray; 4 years working with Python programming language; 4 years deploying, monitoring, and maintaining ML/DL model pipelines in a HPC platform using Spark, AWS EMR, MWAA, WMLA, Spectrum Conductor, Airflow, and MLFlow; 4 years formulating research or business problems and subsequently designing and implementing AI/ML/DL solutions; 2 years working with data platforms and applications including Azure ML, Databricks ML, and AWS SageMaker; and 2 years contributing to GitHub and open-source initiatives.
TRAVEL: None
TO APPLY: Apply by selecting "Apply" on this page and following prompts to attach resume and submit.
JOB CODE: VD549
#P3M
It is unlawful to discriminate against a prospective employee due to the individual's status as a veteran.
Our commitment to Equal Opportunity:
Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law.
If you have a disability and require a reasonable accommodation in completing a job application or otherwise participating in the overall hiring process, please contact AskHR.US@fiserv.com. Please note our AskHR representatives do not have visibility to your application status. Current associates who require a workplace accommodation should refer to Fiserv's Disability Accommodation Policy for additional information.
Note to agencies:
Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.
Warning about fake job posts:
Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.

What Fiserv employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom