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Data Science Research Assistant Jobs in Wisconsin

Memorial Hermann Health System

WI · On-site

$95 - $130/hr

Reports to the Manager of Data Science. Minimum Qualifications * Bachelor's Degree in science ... Advanced experience in researching and resolving data issues with large, complex, incomplete data ...

慨正橡扯

WI · On-site

$90 - $120/hr

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 ...

Innovizant LLC

Data Scientist

Madison, WI · On-site

... data science, data engineering and decision science to provide winning actionable insights ... Some of our sur accelerators and solution frameworks assist our clients including FIN-CDO (which ...

wistar

Research Assistant - Montaner Lab

Institute, WI · On-site

The Wistar Institute is a world leader in early-stage discovery science in the areas of cancer ... The Wistar Institute has an opening for a Research Assistant to join the lab of Dr. Luis Montaner.

Innovizant LLC

Data Scientist

Madison, WI

... data science, data engineering and decision science to provide winning actionable insights ... Some of our sur accelerators and solution frameworks assist our clients including FIN-CDO (which ...

Howard

Post Doctoral Researcher

Downing, WI

$60K - $70K/yr

... engineering research. * Assist with reporting requirements for sponsored research projects ... Familiarity with interdisciplinary methods involving data science, AI/ML applications, and ...

wistar

Research Assistant - Veglia Lab

Institute, WI · On-site

The Wistar Institute is a world leader in early-stage discovery science in the areas of cancer ... The Wistar Institute has an opening for a Research Assistant to join the laboratory of Dr. Filippo ...

Deloitte

Lead AI and Data Science Engineer II

Milwaukee, WI

$101K - $133K/yr

In this role, you will lead complex data science work that combines research design, statistical analysis, machine learning, and application development to solve high-priority people challenges. You ...

Wisconsin

Data Scientist II or III

Madison, WI · On-site

$85K/yr

Independently identifies and implements appropriate data science techniques to find data patterns and answer research questions chosen by the lead researcher including data visualization, statistical ...

wistar

Research Assistant - Escolano Lab

Institute, WI · On-site

The Wistar Institute has an opening for a highly motivated Research Assistant to work in the ... Bachelor's degree in a science-related field, or equivalent combination of education and experience ...

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All JobsData Science Research JobsData Science Research Assistant JobsData Science Research Assistant Jobs in Wisconsin

Data Science Research Assistant information

See Wisconsin salary details

$8

$22

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How much do data science research assistant jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for data science research assistant in Wisconsin is $22.11, according to ZipRecruiter salary data. Most workers in this role earn between $18.70 and $25.72 per hour, depending on experience, location, and employer.

What does a data science research assistant do?

A Data Science Research Assistant supports research projects by gathering, cleaning, and analyzing data using statistical and computational techniques. They assist senior researchers with designing experiments, developing models, and interpreting results. Typical tasks include data preprocessing, coding in languages like Python or R, literature reviews, and creating visualizations to summarize findings. Their work helps advance scientific knowledge and inform decision-making based on data-driven insights.

What is the difference between Data Science Research Assistant vs Data Analyst?

AspectData Science Research AssistantData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldBachelor's or higher in Data Analysis, Statistics, or related field
Work EnvironmentResearch labs, academic institutions, or research-focused organizationsBusiness settings, corporate offices, or consulting firms
Employer & Industry UsageUniversities, research institutes, government agenciesCorporations, marketing firms, finance, healthcare
Common Search & ComparisonYesNo

Data Science Research Assistants typically focus on supporting research projects through data collection, analysis, and modeling in academic or research settings. Data Analysts primarily interpret data to help organizations make business decisions. While both roles require strong analytical skills and knowledge of data tools, the research assistant role emphasizes academic research and experimentation, whereas data analysts focus on business insights and reporting.

What are the key skills and qualifications needed to thrive as a data science research assistant?

To thrive as a Data Science Research Assistant, you need a strong background in statistics, machine learning, and programming (often with a degree in computer science, statistics, or related fields). Familiarity with tools such as Python, R, Jupyter Notebooks, and data visualization libraries as well as experience with version control systems like Git is typical, and coursework or certifications in data science can be beneficial. Attention to detail, problem-solving ability, and strong communication skills are essential to effectively analyze data, interpret results, and collaborate with research teams. These skills and qualities are critical for producing reliable insights, supporting research objectives, and ensuring the integrity of data-driven projects.

How does a data science research assistant typically collaborate with other team members during a research project?

Data Science Research Assistants frequently work alongside data scientists, research leads, and subject matter experts to support ongoing research. Their responsibilities often include cleaning and preprocessing data, performing exploratory analyses, and implementing models. Regular collaboration occurs through team meetings, code reviews, and sharing findings, ensuring alignment with project goals. Open communication and adaptability are essential, as priorities and datasets can shift based on project needs.
What are popular job titles related to Data Science Research Assistant jobs in Wisconsin? For Data Science Research Assistant jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Data Science Research Assistant jobs in Wisconsin look for? The top searched job categories for Data Science Research Assistant jobs in Wisconsin are:
What cities in Wisconsin are hiring for Data Science Research Assistant jobs? Cities in Wisconsin with the most Data Science Research Assistant job openings:
Data Science Research Assistant jobs near you
Infographic showing various Data Science Research Assistant job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $45,997 per year, or $22.1 per hour.

Principal Data Scientist

U.S. Venture, Inc.

Appleton, WI • On-site

Full-time

Re-posted 8 days ago

U.S. Venture rating

8.2

Company rating: 8.2 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

87th of 415 rated retail wholesalers

Job description

POSITION SUMMARY
As the most senior individual contributor on our Data Science team, you will set the technical direction for how U.S. Venture applies advanced data science, machine learning, and emerging AI capabilities to solve the most complex problems in distribution and supply chain. You will operate as a hands-on technical leader-personally architecting and building the highest-impact models-while shaping the analytical strategy, raising the bar on engineering rigor, and developing the next generation of data scientists. Your deep command of supply chain and distribution strategy, combined with mastery of modern AI techniques and a strongly collaborative approach, will be instrumental in turning data science into a durable competitive advantage for U.S. Venture and its operating companies.
This role will ideally be located in Appleton, WI, however, we are open to considering remote/hybrid candidates based on the relevancy of experience. On-site time would be required in Appleton, WI.
JOB RESPONSIBILITIES
Development:
  • The expectation is that this individual will join the team as a recognized expert with mastery across the following:
    • Understanding of core processes: data collection, cleansing, data models, data modeling and data visualization.
    • Deep understanding of the distribution, supply chain, and transportation businesses that U.S. Venture operates in, including the economics, operating constraints, and decision-making contexts that drive value for our internal and external clients.
    • Setting the standard for engineering quality and coding practices used by the Data Science Team, while personally producing production-grade work in the languages used at U.S. Venture (SQL, R, Python) and the surrounding tooling for testing, version control, and deployment.
    • Advanced statistical and machine learning modeling techniques, including classification, regression, deep learning, reinforcement learning, and modern generative AI / large language model techniques.
    • Data engineering and feature engineering concepts at scale, including pipelines built on modern cloud data platforms (e.g., Azure Data Factory / Synapse / Fabric, GCP BigQuery, Dataflow, and open table formats such as Iceberg).
    • Optimization model methodologies applied to large-scale distribution networks, inventory positioning, routing, and labor allocation problems.
    • Forecasting model development, lifecycle management, and continuous improvement across demand, supply, and operational signals.
    • Designing and deploying models into production with the surrounding MLOps practices-CI/CD, monitoring, drift detection, retraining, and responsible-AI guardrails.

Innovation
  • The Data Science Team is one of the teams at the forefront of innovation at U.S. Venture. This individual will be expected to set the technical direction for data science innovation across the enterprise and to be the most senior technical voice in shaping where the team places its bets.
  • This individual will be accountable for continuously advancing our modeling techniques through R&D-improving accuracy, runtime performance, scalability, and explainability-and for personally tackling the problems that no one else on the team can.
    • They will define and shepherd the R&D portfolio for the Data Science Team, sequencing the experiments and proofs that will be executed by Lead and Senior team members and ensuring those experiments translate into production capability.
  • This individual will be expected to push the art of the possible, generate the ideas that define our multi-year analytical roadmap, and pull AI and other emerging technologies into how U.S. Venture solves real distribution and supply chain problems.
  • This individual will personally architect-and in the highest-stakes cases personally build-the most complex models, simulations, optimizations, and AI-enabled solutions that drive material business decisions.
  • This individual will maintain an active external network with peers and researchers at the leading edge of data science and AI-academia, partner labs, vendors, and the broader practitioner community-and will translate that signal into concrete capability for the Data Science Team and U.S. Venture.
    • They are expected to continuously evaluate new platforms, frameworks, and AI capabilities (including foundation models, agentic patterns, and adjacent emerging technologies) and to make the call on what U.S. Venture should adopt, pilot, or pass on.

Execution
  • This individual will personally execute the highest-stakes, most technically demanding projects in the Data Science portfolio-the work that requires the deepest technical judgment and where success or failure has the largest business consequence.
  • They will partner directly with Data & AI leadership to shape the multi-year analytical strategy, R&D investments, and the integration of AI into the broader Enterprise Platform.
  • This individual is the final technical authority on which modeling approach is used for the team's most significant work, and is accountable for the rigor and defensibility of that choice in front of senior leadership.
  • The responsibilities this individual also includes:
    • Leveraging the full range of statistical, machine learning, and AI techniques to create new analytical products and capabilities for U.S. Venture and its operating companies.
    • End-to-end forecast modeling which includes
      • Modeling the dataset
      • Evaluating multiple modeling techniques
      • Building and orchestrating a pipeline that deploys final model to production
    • Building and executing optimization models for the most complex distribution and logistics network problems-multi-echelon inventory, routing, network design, capacity, and labor.
    • Developing and deploying simulation and digital-twin models that allow internal and external clients to evaluate outcomes under uncertainty and make better strategic and operational decisions.
    • Communicating outcomes, tradeoffs, and recommendations to senior leadership-including executive, board, and external client audiences-with the credibility to influence material business decisions.
    • Setting the standard for technical documentation and design review across the Data Science Team, and serving as the final reviewer on the team's most consequential work.

Collaboration:
  • This individual must have outstanding interpersonal and influencing skills, with the ability to build rapport and earn credibility at every level-from engineers and analysts up through the CIO, executive leadership team, and business unit presidents.
  • This person will partner closely with Engineering, Architecture, Business Analytics, the business unit operating teams (including U.S. AutoForce, Breakthrough, and the Energy businesses), and external partners-ensuring the Data Science roadmap is tightly coupled to the Enterprise Platform, distribution strategy, and business outcomes across a diverse multi-BU portfolio.
  • Working with all team members to lead the continuous improvement of the team's engineering, modeling, and review practices.
  • Actively mentor and develop Lead, Senior, and earlier-career data scientists-bringing new concepts, techniques, and methodologies to the team and investing in the long-term growth of the people who will be the next generation of senior practitioners.
    • Be the team's primary educator on emerging techniques and AI capabilities-running working sessions, code reviews, design reviews, and worked examples that raise the technical ceiling of the entire group.

QUALIFICATIONS
Required:
  • Bachelor's or Master's degree in Industrial Engineering, Industrial Management, Operations Research, Data Analytics, Statistics, Economics, Computer Science, Business Administration, or a related field involving problem solving and critical thinking, or equivalent work experience.
  • 12+ years of relevant experience, including significant hands-on time leading the design, development, and production deployment of advanced statistical, machine learning, and AI models against real distribution, supply chain, or comparably complex operating problems.
  • Expert ability to develop effective data visualizations that are used by upper management in decision-making situations.
  • Strong, demonstrable track record of building data science and AI solutions that have delivered material, measurable business outcomes in distribution, supply chain, or comparable operationally complex environments.
  • Mastery of multiple programming languages, frameworks, and technologies, specifically SQL, Python and/or R, modern ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn), and workflow orchestrators (e.g., Airflow, Dagster, or equivalent).
  • Expert understanding of database concepts, data modeling principles, and modern cloud data platforms (e.g., Azure Data Factory / Synapse / Fabric, GCP BigQuery, Dataflow, and open table formats such as Iceberg, or equivalent).
  • Strong command of distribution and supply chain strategy and economics, with direct experience applying data science to distribution, transportation, and/or energy operating problems strongly preferred.
  • Expertise in advanced statistical concepts and modern AI/ML modeling techniques, including deep learning architectures (e.g., transformers, LSTMs, GNNs), reinforcement learning, and applied generative AI / large language model techniques.
  • Demonstrated ability to mentor and grow data scientists at every level-technical and durable skillsets-and to raise the overall technical bar of a team.
  • Proven record of creating a collaborative environment that builds a team mentality.
  • Excellent problem-solving skills and the ability to navigate complex analytical and data-related challenges.
  • Advanced analytical skills with an emphasis on attention to detail and being able to look at a problem from multiple angles and perspectives.
  • Strong communication skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders.

DIVISION:
Corporate
U.S. Venture will not offer sponsorship for employment status (including, but not limited to, H-1B, TN, E-3, F1, CPT, OPT, STEM OPT, visa status and other employment-based nonimmigrant visas) for this position. Accordingly, all applicants must be currently authorized to work in the United States on a full-time basis and must not require U.S. Venture's sponsorship to continue to work legally in the United States. In general, U.S. Venture does not sponsor candidates for nonimmigrant visas or permanent residency except when there is a specific business need.
U.S. Venture will not accept unsolicited resumes from recruiters or employment agencies. In the absence of an executed recruitment Master Service Agreement, there will be no obligation to any referral compensation or recruiter fee. In the event a recruiter or agency submits a resume or candidate without an agreement, U.S. Venture shall reserve the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency. Any unsolicited resumes, including those submitted to hiring managers, shall be deemed the property of U.S. Venture.
U.S. Venture, Inc. is an equal opportunity employer that is committed to inclusion and diversity. We ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender, gender identity or expression, marital status, age, national origin, disability, veteran status, genetic information, or other protected characteristic. If you need assistance or an accommodation due to a disability, you may call Human Resources at (920) 739-6101.
99-00-821-0000

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