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Data Science Phd Jobs in Wisconsin (NOW HIRING)

MS or PhD in Data Science, Operations Research, Engineering, Applied Mathematics, or related field. * 5+ years (3+ with PhD) of industry experience in operations research, data science, and/or ...

MS or PhD in Data Science, Operations Research, Engineering, Applied Mathematics, or related field. * 5+ years (3+ with PhD) of industry experience in operations research, data science, and/or ...

VAS, a URUS Group company, is looking for a Dairy Data Scientist who brings strong knowledge of ... Master's or PhD with research focused on dairy production, animal science, nutrition, reproduction ...

VAS, a URUS Group company, is looking for a Dairy Data Scientist who brings strong knowledge of ... Master's or PhD with research focused on dairy production, animal science, nutrition, reproduction ...

VAS, a URUS Group company, is looking for a Dairy Data Scientist who brings strong knowledge of ... Master's or PhD with research focused on dairy production, animal science, nutrition, reproduction ...

VAS, a URUS Group company, is looking for a Dairy Data Scientist who brings strong knowledge of ... Master's or PhD with research focused on dairy production, animal science, nutrition, reproduction ...

VAS, a URUS Group company, is looking for a Dairy Data Scientist who brings strong knowledge of ... Master's or PhD with research focused on dairy production, animal science, nutrition, reproduction ...

WI ยท On-site

PhD in Computer Science, Biomedical Engineering, Data Science, or related field. * Demonstrated expertise in machine learning, deep learning, and AI system development. * Proven track record of ...

Showing results 21-40

Data Science Phd information

What is a data science PhD?

A Data Science PhD is a doctoral-level degree focused on advanced research in data science, which combines elements of statistics, computer science, and domain expertise. Students in a Data Science PhD program typically work on developing new methods for analyzing large datasets, creating machine learning algorithms, and addressing complex problems in areas such as artificial intelligence, data mining, and predictive analytics. Graduates are prepared for careers in academia, research, and industry, where they can lead data-driven projects and contribute to advancements in the field.

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

To thrive as a Data Science PhD, you need advanced expertise in statistics, machine learning, data analysis, and a doctoral degree in a quantitative field. Proficiency in programming languages like Python or R, experience with big data frameworks (e.g., Spark, Hadoop), and familiarity with data visualization tools are typically required. Critical thinking, problem-solving, and strong communication skills help you translate complex data insights for diverse stakeholders. These skills are vital for driving innovative research, making data-driven decisions, and contributing impactful solutions in data-centric environments.

What are some common challenges faced by data science PhDs when transitioning from academia to industry roles?

Data Science PhDs often encounter challenges such as adapting to the faster pace and collaborative nature of industry projects compared to academic research. In industry, there is a greater emphasis on delivering practical solutions within tight deadlines and working closely with cross-functional teams like engineering and product management. Additionally, data science work in industry may require balancing technical rigor with business impact, often prioritizing actionable insights over exhaustive analysis. Building strong communication and stakeholder management skills can help ease this transition.

What can I do with a data science PhD?

A data science PhD prepares individuals for advanced roles in research, analytics, and machine learning across industries such as technology, finance, healthcare, and academia. Graduates can work as data scientists, machine learning engineers, research scientists, or data analysts, often utilizing programming languages like Python or R and tools such as TensorFlow or SQL. The degree also enables roles involving complex data modeling, statistical analysis, and developing innovative data-driven solutions.

What cities in Wisconsin are hiring for Data Science Phd jobs?

Cities in Wisconsin with the most Data Science Phd job openings:

Infographic showing various Data Science Phd job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Sr. Data Scientist - Optimization

Neenah, WI โ€ข On-site

Other

Medical, Dental, Vision, Life, Retirement

Posted 13 days ago


Job description

Accelerate the possible by joining a winning Amcor team thatโ€™s transforming the packaging industry and improving lives around the world. At Amcor, we unpack possibility through our innovative and responsible packaging to provide solutions that benefit our customers, our people and our planet. More than 10,000 consumers worldwide encounter our products every second and rely on us for safe access to food, medicine and other goods. We value their trust by making safety our guiding principle. Itโ€™s our core value and integral to how we do business. Beyond this core principle, our shared values and behaviors unite us as we work together to elevate customers, shape lives and protect the future. We champion our customers and help them succeed. We play to win โ€“ adapting quickly in an everchanging world โ€“ and make smart choices to safeguard our business, our communities and the people we serve for generations to come. And we invest in our world-class team, empowering our colleagues to unpack their potential, because we believe when our people grow, so does our business. To learn more about playing for Team Amcor, visit www.amcor.com LinkedIn Glassdoor Facebook YouTube

Job Description

As a Sr. Data Scientist in Amcor Core R&D, you'll lead the development of models and advanced analytics tools, enabling data-driven decision making across the global Flexibles R&D organization. This role develops mathematical optimization, machine learning, and AI solutions, and contributes to the data pipelines that feed them โ€” to support cost reduction, manufacturing efficiency, and product design. This position works closely with cross-functional teams to integrate enterprise data into the R&D development process and enable scalable, high-impact capabilities that drive business results. Serves as a senior technical expert for optimization, AI, and advanced analytics, providing recommendations that help shape the R&D analytics roadmap and digital transformation initiatives.

Optimization, AI, & Advanced Analytics
  • Build optimization models that minimize material cost across product structures and recipes while meeting performance requirements
  • Develop scheduling and process optimization models โ€” sequencing for transition waste minimization and improving how products are matched to asset capabilities
  • Develop and deploy analytics tools and predictive models that improve the speed, throughput, and robustness of the R&D design and development process โ€” including early detection of design risks and material property prediction
  • Translate complex analytical insights into clear, actionable recommendations for technical and non-technical audiences
  • Continuously improve modeling approaches, optimization techniques, and analytics tools through adoption of best practices and emerging methods
  • Act as a steward for proper use and protection of confidential R&D data
Systems & Business Intelligence
  • Serve as subject-matter-expert in Amcor R&D systems and data structures
  • Use knowledge of product structures, R&D design process and manufacturing processes to identify opportunities where advanced analytics tools can create value for Amcor
  • Design and implement data structures and features that enable development of advanced analytic tools and predictive models
  • Perform data modeling and feature engineering to support optimization and analytics tools, ensuring data structures are fit for advanced modeling and scalability
  • Partner closely with data engineers to ensure robust data pipelines and high-quality, connected data sources across systems
Cross-Functional Collaboration
  • Act as a strategic partner to R&D, Operations, Procurement, Finance, Commercial, and IT to understand business challenges and propose solutions that connect to Advanced Analytics team strategy
  • Collaborate with Business Intelligence teams and systems owners to align analytics tools with enterprise data standards and reporting frameworks
  • Collaborate cross-functionally to understand business challenges that can be solved via advanced analytics techniques and advise on data quality and structure required to support capability
  • Contribute as a senior technical consultant to solve complex business and technical challenges using data and advanced modeling techniques
What Success Looks Like
  • Scaled deployment of enterprise analytics solutions
  • Increased speed and quality of R&D decision-making
  • Strong adoption of AI and advanced analytics tools across the organization
  • Robust, trusted data infrastructure supporting innovation and growth
Qualifications/Requirements
  • MS or PhD in Data Science, Operations Research, Engineering, Applied Mathematics, or related field.
  • 5+ years (3+ with PhD) of industry experience in operations research, data science, and/or technical engineering field.
  • Demonstrated success improving organizational performance through analytics, AI/ML models.
  • Proven experience managing crossโ€‘functional projects with measurable impact.
  • Proven statistical modeling and machine learning skills; expertise in mathematical optimization is essential.
  • High proficiency in Python, SQL, including building or contributing to data pipelines.
  • Experience with Azure cloud platform preferred.
  • Experience with optimization solvers (HiGHS, Gurobi, CPLEX).
  • Proven understanding of polymer science, film extrusion, or foodโ€‘packaging interactions is highly preferred.
Our Expectations

We expect our people to be guided by The Amcor Way and demonstrate our Values every day to enable the business to win. We are winning when:

  • Our people are engaged and developing as part of a high-performing Amcor team
  • Our customers grow and prosper from Amcorโ€™s quality, service, and innovation
  • Our investors benefit from Amcorโ€™s consistent growth and superior returns
  • The environment is better off because of Amcorโ€™s leadership and products
Equal Opportunity Employer/Minorities/Females/Disabled/Veterans/Sexual Orientation/Gender Identity

Amcor is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.

If you would like more information about your EEO rights as an applicant under the law, please click on the "Know Your Rights: Workplace Discrimination is Illegal" Poster.

If, because of a medical condition or disability, you need a reasonable accommodation for any part of the employment process, please call 224-313-7000 and let us know the nature of your request and your contact information.

E-Verify

We verify the identity and employment authorization of individuals hired for employment in the United States.

Benefits
  • Medical, dental and vision plans
  • Flexible time off, starting at 80 hours paid time per year for full-time salaried employees
  • Company-paid holidays starting at 8 days per year and may vary by location
  • Wellbeing program & Employee Assistance Program
  • Health Savings Account/Flexible Spending Account
  • Life insurance, AD&D, short-term & long-term disability, and voluntary benefits
  • Paid Parental Leave
  • Retirement Savings Plan with company match
  • Tuition Reimbursement (dependent upon approval)
  • Discretionary annual bonus program (initial eligibility dependent upon hire date)
About Amcor

Amcor is the global leader in developing and producing responsible consumer packaging and dispensing solutions across a variety of materials for nutrition, health, beauty and wellness categories. Our global product innovation and sustainability expertise enables us to solve packaging challenges around the world every day, producing a range of flexible packaging, rigid packaging, cartons and closures that are more sustainable, functional and appealing for our customers and their consumers. We are guided by our purpose of elevating customers, shaping lives and protecting the future. Supported by a commitment to safety, over 75,000 people generate $23 billion in annualized sales from operations that span over 400 locations in more than 40 countries. NYSE: AMCR; ASX: AMC www.amcor.com|LinkedIn|YouTube

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