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Statistical Scientist Jobs in Wisconsin (NOW HIRING)

WI · On-site

Utilize advanced statistical techniques and data science algorithms to analyze large datasets and derive actionable insights related to Pricing Optimization. * Develop and implement predictive models ...

The Lab Scientist owns key analytical instrumentation, leads method development, manages data ... Lead method development, protocol creation, statistical validation, and documentation of analytical ...

The Lab Scientist owns key analytical instrumentation, leads method development, manages data ... Lead method development, protocol creation, statistical validation, and documentation of analytical ...

You will bring broad expertise across advanced analytics, statistical modelling, machine learning ... Mentor data scientists and other practitioners and contribute to reusable frameworks, standards ...

New

Clinical Chemist Scientist - California Department of Public Health * Or * Clinical Hematologist Scientist - California Department of Public Health * Or * Clinical Laboratory Personnel - Florida ...

Clinical Chemist Scientist - California Department of Public Health * Or * Clinical Hematologist Scientist - California Department of Public Health * Or * Clinical Laboratory Personnel - Florida ...

Sr Biochemistry Scientist

Madison, WI · On-site

$92K - $126K/yr

You are the Senior Biochemistry Scientist Illumina is looking for in joining our Test Method ... Perform data processing, statistical evaluation, and interpretation of experimental results.

Showing results 41-60

Statistical Scientist information

See Wisconsin salary details

$33.3K

$86.3K

$141.8K

How much do statistical scientist jobs pay per year?

As of Aug 14, 2026, the average yearly pay for statistical scientist in Wisconsin is $86,339.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,100.00 and $112,500.00 per year, depending on experience, location, and employer.

How does a statistical scientist typically collaborate with cross-functional teams in a research or corporate environment?

Statistical Scientists regularly work alongside colleagues from diverse backgrounds such as data engineering, software development, product management, and subject matter experts. Their role often involves translating complex statistical analyses into actionable insights for non-technical stakeholders, ensuring that data-driven recommendations are clearly understood and implemented. Effective communication and teamwork are crucial, as Statistical Scientists may participate in interdisciplinary meetings, provide guidance on experimental design, and contribute to strategic decision-making based on statistical evidence.

What are the key skills and qualifications needed to thrive as a statistical scientist?

To thrive as a Statistical Scientist, you need advanced knowledge of statistics, data analysis, and mathematical modeling, often supported by a degree in statistics, mathematics, or a related field. Proficiency in statistical software such as R, SAS, or Python, and familiarity with data visualization platforms are typically required. Strong problem-solving abilities, critical thinking, and effective communication skills help distinguish top performers in this role. These competencies are crucial for accurately analyzing complex data, conveying findings clearly, and supporting informed decision-making in research or business environments.

What is the difference between Statistical Scientist vs Data Analyst?

AspectStatistical ScientistData Analyst
Required CredentialsMaster's or PhD in Statistics, Mathematics, or related fieldBachelor's or Master's in Statistics, Data Science, or related field
Work EnvironmentResearch-focused, often in R&D or academia, but also in industryBusiness or operational settings, focusing on data reporting and visualization
Employer & Industry UsageTech, healthcare, finance, research institutionsRetail, marketing, finance, healthcare

While both roles analyze data, Statistical Scientists focus on developing new statistical methods and models, often working on complex research projects. Data Analysts primarily interpret existing data to generate reports and insights for business decisions. The roles overlap in skills and tools but differ in scope and depth of statistical expertise.

What is a statistical scientist?

Statistical Scientists are professionals who specialize in using statistical methods to collect, analyze, and interpret data. They design experiments, develop data models, and apply mathematical theories to solve real-world problems across various industries, including healthcare, finance, technology, and government. Their work helps organizations make informed decisions, identify trends, and develop predictive insights. Statistical Scientists often work closely with data scientists, researchers, and subject matter experts to ensure that data-driven conclusions are accurate and actionable.

What are popular job titles related to Statistical Scientist jobs in Wisconsin?

For Statistical Scientist jobs in Wisconsin, the most frequently searched job titles are:

Infographic showing various Statistical Scientist 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 $86,339 per year, or $41.5 per hour.

Senior Data Scientist - Supply Chain Optimization & Pricing

Tiger Analytics

WI • On-site

Other

Posted 8 days ago


Job description

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

We are also market leaders in AI and analytics consulting in the CPG & retail industry with over 40% of our revenues coming from the sector. This is our fastest-growing sector, and we are beefing up our talent in the space.

We are looking for a Senior Data Scientist with a good blend of data analytics background, practical experience in Operation research strategies and Pricing Analytics within supply chains, and strong coding capabilities to add to our team.

Key Responsibilities:

  • Responsible for refactoring the Optimization algorithm written in Python using Object Oriented Programming
  • Work on the latest applications of data science to solve business problems in the Supply chain and optimization space of Retail and/or CPG.
  • Utilize advanced statistical techniques and data science algorithms to analyze large datasets and derive actionable insights related to Pricing Optimization.
  • Develop and implement predictive models and optimization algorithms to improve inventory management, reduce stockouts, and optimize resource allocation across the supply chain.
  • Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
  • Design and execute experiments to evaluate the effectiveness of different replenishment strategies and allocation policies.
  • Monitor and analyze key performance indicators (KPIs) related to replenishment and supply chain allocation, and provide recommendations for continuous improvement.
  • Stay abreast of industry trends and best practices in data science, replenishment optimization, and supply chain management, and leverage this knowledge to drive innovation within the organization.
  • Collaborate, coach, and learn with a growing team of experienced Data Scientists.
  • Proven experience 10+ years working as a Data Scientist, with a focus on supply chain optimization and inventory allocation.
  • MS or PhD in Computer Science, Operations Research, Applied Mathematics, Machine Learning, or a related field.
  • Experience with using mathematical programming solvers such as Gurobi, Xpress MP, CPLEX, or Google OR Tools in applications.
  • Solid understanding of statistical methods, optimization techniques, and predictive modelling concepts.
  • Strong proficiency in programming languages such as Python, Pyspark and SQL, and experience working with data analysis and machine learning libraries.
  • Ability to apply various analytical models to business use cases
  • Exceptional communication and collaboration skills to understand business partner needs and deliver solutions and explain to business stakeholders.

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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