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Economics Statistics Jobs in Wisconsin (NOW HIRING)

WI · On-site

$90 - $120/hr

Bachelor's degree in Analytics, Applied Mathematics, Economics, Statistics, or Computer Science, or a Master's degree/Diploma in a related quantitative field Special Factors Sponsorship Vanguard is ...

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Instructor Pool- ECONOMICS Job Category: Academic Staff Employment Type: Terminal (Fixed Term) Job ... includes statistics about reported crimes and information about campus security policies, see or ...

Emphasizes theoretical foundations and connects advanced statistics to biostatistics, econometrics, and machine learning research applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

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Economics Statistics information

What are the typical responsibilities of an economics statistics professional?

Professionals in Economics Statistics roles are typically responsible for collecting, analyzing, and interpreting economic data to identify trends, forecast outcomes, and support decision-making. This often involves designing surveys, performing complex data modeling, and creating reports or visualizations for stakeholders. They frequently collaborate with economists, policy analysts, and management teams to translate statistical findings into actionable insights. Additionally, there is often the need to stay up-to-date on new statistical methods and economic issues to maintain accuracy and relevance in their analyses.

What are the key skills and qualifications needed to thrive in an economics statistics position?

To excel in Economics Statistics, you need strong analytical skills, a solid grasp of statistical and econometric methods, and an academic background in economics, mathematics, or a related field. Mastery of statistical software and data analysis tools such as R, SAS, Stata, or Python, along with proficiency in Excel, is often required, and certifications in data analysis can be advantageous. Excellent communication, attention to detail, and problem-solving abilities help individuals effectively interpret and present complex economic data. These skills are crucial for producing accurate analyses that drive strategic decision-making and policy formulation in both public and private sectors.

What is an economics statistics job?

An Economics Statistics job involves collecting, analyzing, and interpreting economic data to identify trends and support decision-making. Professionals in this field use statistical methods to examine economic issues such as inflation, employment, and GDP growth. They work in government agencies, research institutions, financial firms, or academia to provide insights that inform policies and business strategies. Strong skills in data analysis, econometrics, and statistical software are essential for success in this role.

What are the most commonly searched types of Economics Statistics jobs in Wisconsin? The most popular types of Economics Statistics jobs in Wisconsin are:
What cities in Wisconsin are hiring for Economics Statistics jobs? Cities in Wisconsin with the most Economics Statistics job openings:
Infographic showing various Economics Statistics job openings in Wisconsin as of August 2026, with employment types broken down into 78% Full Time, 20% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Data Scientist, Specialist

慨正橡扯

WI • On-site

$90 - $120/hr

Other

Posted 5 days ago


Job description

We're the AI Center of Excellence within the Chief Data and Analytics Office. We work on projects that enable AI practitioners build AI products quickly and confidently. We work on many open problems around AI safety and evaluations. One way that we do so is by finding vulnerabilities in Gen AI applications with an automated adversarial testing service. We're looking for people who are technically sharp and effective communicators to help design and deploy this service. This role leads and executes deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making, while mentoring junior data scientists and analysts, and applying advanced data science and big data mining techniques to uncover trends, inform strategic initiatives, and drive innovation across diverse business functions.

Responsibilities
  • Develops complex queries and performs extensive programming to access, transform, and prepare data for statistical modeling.
  • Leads and executes deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making. Mentors and develops junior data scientists and analysts.
  • Identifies and diagnoses data inconsistencies and errors, documents data assumptions, and forages to fill data gaps.
  • Engages with internal stakeholders to understand and probe business processes in order to develop hypotheses. Brings structure to requests and translates requirements into an analytic approach.
  • Guides test design, research design, and model validation. Provides statistical consultation services. Serves as the analytics expert on cross functional teams for large strategic initiatives and contributes to the growth of the Vanguard analytic community.
  • Prepares and delivers insight presentations and action recommendations. Communicates complex analytical findings and implications to business leaders.
  • Participates in special projects and performs other duties as assigned.
  • Designs scalable data mining models and reporting protocols to identify trends and patterns in massive datasets.
  • Applies modern and emerging data science techniques to solve business problems across functions such as marketing, economics, and operations.
  • Contributes to the advancement of analytics through exploratory research and application of cutting‑edge statistical theory.
Qualifications
  • Minimum 5 years of experience in data science, predictive analytics, or advanced statistical modeling roles
  • Expertise in programming with Python, R, or SQL; hands‑on experience with machine learning libraries (e.g., Scikit-learn, TensorFlow); strong understanding of data pipelines, data wrangling, and statistical techniques; experience in big data environments (Spark/Hadoop); familiarity with visualization tools like Tableau or Power BI
  • Bachelor’s degree in Analytics, Applied Mathematics, Economics, Statistics, or Computer Science, or a Master’s degree/Diploma in a related quantitative field
Special Factors Sponsorship

Vanguard is not offering visa sponsorship for this position.

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