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Data Science Visualization Jobs in Beaver Dam, WI

PhD in Animal Breeding, Quantitative Genetics, Genomics, Animal Science, or a related discipline ... Experience with data visualization and reporting tools. * Experience leveraging artificial ...

PhD in Animal Breeding, Quantitative Genetics, Genomics, Animal Science, or a related discipline ... Experience with data visualization and reporting tools. * Experience leveraging artificial ...

PhD in Animal Breeding, Quantitative Genetics, Genomics, Animal Science, or a related discipline ... Experience with data visualization and reporting tools. * Experience leveraging artificial ...

Data Science Visualization information

See Beaver Dam, WI salary details

$53.2K

$107.8K

$159K

How much do data science visualization jobs pay per year?

As of Jul 13, 2026, the average yearly pay for data science visualization in Beaver Dam, WI is $107,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,600.00 and $121,100.00 per year, depending on experience, location, and employer.

What is Data Science Visualization?

Data Science Visualization refers to the practice of creating graphical representations of data and analytical results to make complex information more understandable and actionable. Data visualization helps data scientists communicate insights, identify patterns, and inform decision-making by presenting data in charts, graphs, maps, and interactive dashboards. It bridges the gap between technical analyses and non-technical stakeholders, enabling clearer communication and more effective storytelling with data.

What are the key skills and qualifications needed to thrive as a Data Science Visualization specialist, and why are they important?

To thrive in Data Science Visualization, you need a strong grasp of data analysis, statistics, and data storytelling, often supported by a degree in computer science, statistics, or a related field. Proficiency with visualization tools like Tableau, Power BI, or D3.js as well as programming languages such as Python or R is typically required. Creativity, attention to detail, and effective communication are valuable soft skills for translating complex data into clear, actionable visuals. These skills are crucial for transforming raw data into insights that drive informed business decisions.

What is the difference between Data Science Visualization vs Data Analyst?

AspectData Science VisualizationData Analyst
Required SkillsData visualization tools, programming (Python, R), statistical knowledgeExcel, SQL, basic statistics, data reporting
Work EnvironmentData science teams, research projects, advanced analyticsBusiness units, reporting, data cleaning
Industry UsageTech, finance, healthcare, researchRetail, marketing, finance, operations

Data Science Visualization focuses on creating advanced visual representations of complex data sets using programming and statistical tools, often within data science teams. Data Analysts primarily generate reports and dashboards using tools like Excel and SQL for business decision-making. While both roles involve data visualization, Data Science Visualization emphasizes technical, programming-based visualizations for in-depth analysis, whereas Data Analysts focus on accessible reports for business insights.

How does a Data Science Visualization specialist typically collaborate with data scientists and other stakeholders during a project?

Data Science Visualization specialists play a key role in bridging the gap between complex data analysis and actionable insights. They often work closely with data scientists to understand the underlying data models and results, and then collaborate with business stakeholders to ensure visualizations are tailored to the audience's needs. Regular meetings, feedback sessions, and iterative design processes are common, enabling effective communication and ensuring that visual outputs are both accurate and impactful. This collaborative environment helps ensure that data-driven insights are easily understood and used for decision-making across the organization.
Beef Geneticist

Beef Geneticist

Genus PLC

De Forest, WI • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 4 days ago


Job description

Role Overview
ABS Global, a Genus Company, has an exciting opportunity for a Beef Geneticist to join our Product Development team. This role will support the global beef genetic program through the development, maintenance, and advancement of genetic evaluation systems using modern quantitative genetics, genomics, and statistical methodologies.
As part of a highly technical and collaborative team, you will work with large-scale genomic and phenotypic datasets to drive genetic improvement programs that deliver value to beef producers around the world. This position combines quantitative genetics, genomic prediction, data management, and advanced analytical approaches to create innovative solutions that enhance breeding decisions and improve the profitability of our customers.
The ideal candidate is passionate about animal breeding, enjoys solving complex data and modeling challenges, and has a strong desire to apply scientific innovation to real-world genetic improvement programs.
This position is based in DeForest, Wisconsin, with remote work options available for qualified candidates. Travel requirements are less than 5%.
You Will
  • Maintain and continuously improve ABS's internal beef genomic evaluation systems.
  • Manage, schedule, and execute routine genetic evaluation runs to support global breeding programs.
  • Contribute to the design and development of new genetic evaluations for emerging products and novel traits.
  • Evaluate and implement improvements to statistical models, methodologies, and data collection strategies to increase prediction accuracy.
  • Stay current with advancements in quantitative genetics, genomics, genetic evaluation methodologies, and livestock improvement technologies.
  • Maintain and enhance existing genomic imputation pipelines and support the implementation of new approaches.
  • Develop, maintain, and deliver genomic reports and performance insights to regional and global teams.
  • Build and launch new production data pipelines while supporting data integration, quality control, and validation processes.
  • Collaborate with cross-functional teams including research, product development, and commercial stakeholders to support strategic genetic initiatives.
  • Communicate technical findings and recommendations to both technical and non-technical audiences.
  • Contribute to innovation efforts that advance ABS genetic products and improve customer profitability.

Requirements
Required
  • PhD in Animal Breeding, Quantitative Genetics, Genomics, Animal Science, or a related discipline.
  • Minimum of 5 years of experience in genetic evaluation, animal breeding, or genomic prediction programs.
  • Strong statistical and computational expertise, including a deep understanding of models used in genomic evaluation.
  • Strong programming skills in R, Python, and/or other relevant analytical languages.
  • Experience working in high-performance computing environments such as Unix/Linux systems.
  • Experience working with databases and data management tools, including SQL environments.
  • Experience managing and analyzing large-scale genomic and phenotypic datasets.
  • Understanding of genotype imputation methodologies and experience working with imputation tools.
  • Strong analytical thinking and problem-solving skills with excellent attention to detail.
  • Strong written, verbal, and presentation communication skills with the ability to explain complex technical concepts effectively.
  • Fluent in English.
Preferred
  • Strong understanding of beef cattle genetic improvement programs.
  • Understanding of beef and dairy production systems and associated data structures.
  • Experience developing data pipelines, data integration workflows, and validation processes.
  • Experience with data visualization and reporting tools.
  • Experience leveraging artificial intelligence tools to enhance productivity and workflow efficiencies.

Business Overview
Genus is an agricultural biotechnology pioneer. We are a global FTSE 250 company, headquartered in the UK, and listed on the London Stock Exchange. Genus PLC has a presence in over 70 countries and a global workforce of over 3,000 employees and growing. We are a worldwide leader in porcine and bovine animal genetics, partnering with farmers to transform how we nourish the world - a mission that is important to a sustainable future.
ABS Global is a Genus company and is the world-leading provider of bovine genetics, reproductive services, technologies and udder care products. Marketing in more than 70 countries around the globe, ABS has been at the forefront of animal genetics and technology since its founding in 1941. We are uniquely positioned as a global player with a dedicated research and development function and an international distribution network. We breed and distribute the genes of the world's best bulls, scientifically selecting livestock whose offspring is designed to increase the profitability of our customers who are some of the world's biggest farmers and food producers. IntelliGen Technologies is the technology within ABS that develops sexed bovine genetics that helps customers maximize their profitability and reach their end goals in a fast and efficient manner.
Our vision is clear: Pioneering animal genetic improvement to sustainably nourish the world.
Benefits Overview
At Genus, we offer a competitive salary. Benefits include health, dental, vision, FSA/HSA, long and short-term disability, 401K, tuition reimbursement, paid holidays and ETO (earned time off). This position will have opportunity for growth.
Equal Employment Opportunities
Genus is an equal opportunity employer. In accordance with anti-discrimination law, it is the purpose of this policy to effectuate these principles and mandates. Genus prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. Genus conforms to the spirit as well as to the letter of all applicable laws and regulations.
Recruitment Fraud Warning
Genus plc will never ask you to provide fees or payment for computer, software, or other equipment or supplies during the recruitment and/or onboarding process. If you have any questions about your individual application, please contact the Genus Talent Acquisition team at recruiting@genusplc.com.