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Data Science Certificate Jobs in Wisconsin (NOW HIRING)

Ph.D. In Operations Research, Data Science, or a closely related field. * Master's degree in a relevant field with significant research or project work in AI or machine learning. Certification ...

In Operations Research, Data Science, or a closely related field. Master's degree in a relevant field with significant research or project work in AI or machine learning. Certification / License ...

WI · On-site

$160 - $200/hr

Bachelor's degree in Computer Science, Data Science, Information Management, or related field and ... Certified SAFe Agile Architect * Databricks Certified Data Engineer * Databricks Certified ...

... Science, Artificial Intelligence and Robotics - At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud ...

WI · On-site

$120 - $170/hr

We are a Woman-owned, SBA Certified 8(a), and HUBZone company. About the job Job Overview: The AI ... Bachelor's degree in computer science, Engineering, Data Science, or a related technical discipline ...

Computer Science, Math, Economics Statistics). * 3-5 years of work experience in the data analytics ... Certifications in Snowflake, Talend, AWS, Microsoft What Pandata Group Brings to You: * A ...

Bachelor's degree in computer science, Data Science, Information Systems or related field desired or applicably aligned professional experience. Relevant certifications (Microsoft Azure Solutions ...

Bachelor's degree in computer science, Data Science, Information Systems or related field desired or applicably aligned professional experience. Relevant certifications (Microsoft Azure Solutions ...

Showing results 21-40

Data Science Certificate information

See Wisconsin salary details

$37.9K

$123.9K

$198.3K

How much do data science certificate jobs pay per year?

As of Sep 5, 2026, the average yearly pay for data science certificate 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.

What is a data science certificate?

A Data Science Certificate job refers to roles where employers recognize or prefer candidates who have earned a certificate in data science. These positions typically involve analyzing data, building models, and deriving insights using programming, statistics, and machine learning. While a certificate alone may not replace a full degree, it can demonstrate expertise and practical skills to potential employers. Many professionals pursue certificates to transition into data science or enhance their existing qualifications.

What does someone with a data science certificate do?

Professionals with a Data Science Certificate often work on projects involving data cleaning, statistical analysis, building and evaluating predictive models, and creating visualizations to communicate findings. Daily tasks may include collaborating with other data team members or stakeholders to understand business problems, preparing datasets, running machine learning experiments, and presenting actionable insights. The work is usually project-based, offering variety and opportunities to solve real-world problems using data. As you gain experience, you may also contribute to improving data processes or mentor junior team members, further advancing your career.

What skills and qualifications are needed for a data science certificate?

To thrive in data science roles, individuals need strong analytical skills, proficiency in statistics, and experience with programming languages such as Python or R, often formalized through a data science certificate or related degree. Familiarity with data visualization tools, machine learning frameworks, and cloud platforms is essential for daily tasks. Effective communication, problem-solving abilities, and teamwork are valuable soft skills that help interpret complex data and convey insights to diverse audiences. These skills ensure you can manage, analyze, and present data-driven solutions that directly impact organizational decision-making.

What are popular job titles related to Data Science Certificate jobs in Wisconsin?

For Data Science Certificate jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Data Science Certificate jobs in Wisconsin look for?

The top searched job categories for Data Science Certificate jobs in Wisconsin are:

Infographic showing various Data Science Certificate job openings in Wisconsin as of August 2026, with employment types broken down into 72% Full Time, and 28% Part Time. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $123,886 per year, or $59.6 per hour.

Data Analyst - WI

Bankers' Bank

Madison, WI • On-site

Full-time

Posted 22 days ago


Job description

Bankers' Bank is a fast-growing financial institution with over 1.5 billion in assets committed to assisting community banks with their payment and financial service needs and 45 years of dedication to our community bank partners. In addition to specializing in providing correspondent banking products and services to community banks we also provide bank holding company loans, commercial loans, leasing, secondary mortgage products, cash letter/cash management, investment trading, safekeeping and portfolio accounting, correspondent credit services, international services, bank card products, and risk management solutions. Bankers' Bank has offices in Madison, WI, Des Moines, IA, Chicago, IL, Indianapolis, IN and Dublin, OH.

Bankers' Bank is seeking a Data Analyst to join our Madison, WI team. This role is responsible for advancing the Bank's data-driven capabilities by translating centralized data into actionable business insights. The role supports Product Owners and Business Leadership to develop innovative data solutions, perform exploratory analysis, and validate business assumptions.

Data Analysis (40%)

  • Conduct exploratory data analysis to identify trends, patterns, and segmentation opportunities across customers, products, and markets
  • Translate business questions into data-driven analysis and actionable insights
  • Collaborate with business units to understand project objectives and deliver analytical solutions
  • Act as a liaison between Technology & Analytics team and business stakeholders to maintain project alignment and deadlines
  • Validate assumptions and support decision-making through data

Data Enablement & Accessibility (30%)

  • Support internal stakeholders and users within the organization to access, interpret, and utilize data tools
  • Improve the accessibility, usability, and consistency of data tools and reporting solutions
  • Develop reports, dashboards, and other analytical tools to support business needs
  • Support training and education efforts to improve data literacy within the organization
  • Lead implementation and adoption of analytical tools and best practices

Data Governance & Quality (20%)

  • Establish and maintain data structures, quality standards, and governance practices
  • Identify data quality issues and partner with stakeholders to troubleshoot and implement improvements
  • Promote consistent use of well-managed, reliable data sources across business units

Advanced Analytics Support (10%)

  • Contribute to foundation work that supports the expansion of data science and machine learning initiatives
  • Assist in developing analytical approaches and preparing data for more advanced modeling initiatives

Ideal candidates will possess a bachelor's degree in data analytics, business, finance, statistics, computer science, or other relation field/ equivalent combination of education and experience sufficient to perform the functions of the job. Two to four years of experience in data analysis, business intelligence, analytics, or a related role. Experience working with data tools, reporting platforms, and dashboards (i.e., Zoho, Tableau, PowerBI, Domo, QuickSight, etc.). Basic knowledge of programming languages (i.e., Python) and querying languages (i.e., SQL). Familiarity with data structures, data governance, and data quality concepts. Understanding of Dataiku or other related data science/ETL tools. Ability to work a flexible schedule with off-hours/on-call support as required. Preferred qualifications include experience within the banking or financial services industry and data analytics/business intelligence certiciations (i.e., Google Data Analytics Professional, Microsoft Certified Power BI Data Analyst, CompTIA Data+, etc.).