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Manager Of Data Science Jobs in Wisconsin (NOW HIRING)

Valid8 Financial, Inc.

Data Scientist

Appleton, WI · On-site

$120 - $180/hr

Exceptional communication and stakeholder management skills; comfortable presenting to the ... * 5+ years of experience in data science, machine learning, or analytics * Master's degree in ...

Tiger Analytics

WI · On-site

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.

3M HEALTHCARE

WI · On-site

$140 - $190/hr

... science solutions. This role provides critical feedback on translating stakeholder needs to technical specifications and oversees successful delivery. Job Duties * Leads and manages a team of data ...

Tiger Analytics

WI · On-site

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.

MSCCN

Senior Data Scientist - Madison WI

Mcfarland, WI · On-site

$100K/yr

... data science to tackle challenging cross-functional projects. Fundamental understanding of ... bioprocesses as well as first principles (i.e., transport phenomena, fluid mechanics, reaction ...

Grande

Data Analytics Science Intern

Fond Du Lac, WI · On-site

Interns in this area can expect to further their understanding of the development lifecycle, as ... Strong organizational and time management skills * Ability to build confidence and trust with ...

New

Wisconsin

Data Governance Program Manager

Madison, WI · On-site +1

SMPH Informatics is a multidisciplinary team of data scientists, engineers, developers and support ... Biomedical and clinical research data management, Multimodal data environments including clinical ...

Innovizant LLC

Data Scientist

Madison, WI · On-site

However, the biggest challenge during managing this data comes across in the terms of 'Value Realization'. The true measure of success is to be able to put the data science insights into actionable ...

Innovizant LLC

Data Scientist

Madison, WI · On-site

However, the biggest challenge during managing this data comes across in the terms of 'Value Realization'. The true measure of success is to be able to put the data science insights into actionable ...

Husch Blackwell Llp

Data Engineering Manager

Madison, WI · On-site +1

... management of performance, availability, and capacity risks. * Partner with Data Science & AI ... Information Design & Engineering, IT Operations, and business leaders to understand challenges and ...

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Showing results 21-40

All JobsOf Data Science JobsManager Of Data Science JobsManager Of Data Science Jobs in Wisconsin

Manager Of Data Science information

See Wisconsin salary details

$31.3K

$98.1K

$173.6K

How much do manager of data science jobs pay per year?

As of Aug 14, 2026, the average yearly pay for manager of data science in Wisconsin is $98,053.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,600.00 and $126,700.00 per year, depending on experience, location, and employer.

What is the difference between Manager Of Data Science vs Data Scientist?

AspectManager Of Data ScienceData Scientist
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; often leadership experienceBachelor's or Master's in Data Science, Statistics, or related field; strong technical skills
Work EnvironmentOversees teams, manages projects, collaborates with stakeholdersFocuses on data analysis, model development, and technical problem-solving
Employer & Industry UsageUsed in organizations with data teams, analytics departmentsCommonly employed in tech, finance, healthcare, and research sectors

The main difference between a Manager Of Data Science and a Data Scientist is the level of responsibility. Managers oversee teams and strategic initiatives, while Data Scientists focus on technical data analysis and model building. Both roles require strong analytical skills, but the Manager role emphasizes leadership and project management.

How does a manager of data science typically balance hands-on technical work with team leadership responsibilities?

A Manager of Data Science often divides their time between overseeing project execution and supporting their team's professional growth. While they may still participate in high-level technical decision-making and occasionally contribute to code or modeling, much of their focus shifts to setting strategic direction, mentoring team members, and facilitating cross-functional collaboration. They are responsible for ensuring that projects align with business goals, providing technical guidance, and creating an environment where data scientists can thrive. Effective managers also spend time communicating with stakeholders to translate business needs into actionable data projects.

What are the key skills and qualifications needed to thrive as a manager of data science, and why are they important?

To thrive as a Manager of Data Science, you need advanced expertise in data analytics, machine learning, and statistical modeling, typically backed by a degree in a quantitative field and prior experience in data science roles. Familiarity with tools like Python, R, SQL, cloud platforms (e.g., AWS, Azure), and project management systems is essential, and certifications such as Certified Analytics Professional (CAP) can be valuable. Strong leadership, communication, and problem-solving skills help in guiding teams, translating business needs into data solutions, and fostering collaboration. These skills and qualities are crucial for delivering actionable insights, driving innovation, and ensuring successful data-driven strategies in complex organizational environments.

What is a manager of data science?

A Manager of Data Science is a leadership role responsible for overseeing a team of data scientists and analysts, guiding data-driven projects, and ensuring that business objectives are met through data analysis and modeling. They collaborate with stakeholders to identify business needs, design analytical solutions, and manage the end-to-end process of extracting insights from large datasets. In addition to technical expertise, this role requires strong leadership, project management, and communication skills to translate complex findings into actionable strategies.

What are the most commonly searched types of Of Data Science jobs in Wisconsin?

The most popular types of Of Data Science jobs in Wisconsin are:

Manager Of Data Science jobs near you
Infographic showing various Manager Of Data Science job openings in Wisconsin as of August 2026, with employment types broken down into 67% Full Time, 22% Part Time, and 11% Contract. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $98,053 per year, or $47.1 per hour.

Data Scientist

Valid8 Financial, Inc.

Appleton, WI • On-site

$120 - $180/hr

Other

Medical, Dental, Life, Retirement, PTO

Posted 9 days ago

Job description

Amplifi is a full-service data and AI consultancy with collective expertise across multiple data disciplines in North America and EMEA. That means we play as a team to solve the most complex challenges for our clients. While other data consultancies talk about the potential of data and AI, we realize it. And by doing so we help the world’s largest brands evolve, adapt and modernize the way they work. Our company and team members are proud to empower our clients’ businesses by providing exceptional solutions and value, as we truly believe their success is our success. We thrive on delivering excellent solutions and overcoming technical and business challenges. As such, we’re looking for like‑minded individuals to learn, grow, and mentor others as a part of the Amplifi team.

Position Summary

The Data Scientist, specializing in AI and Advanced Analytics, plays a key role within Amplifi’s consulting team, combining hand‑on technical execution with client advisory to design and deliver scalable analytics and AI solutions.

You will work across the full lifecycle, from identifying use cases to deploying production‑ready models, while partnering closely with clients to translate business challenges into data‑driven outcomes.

  • Partner with clients to define business problems, assess data accessibility, and shape practical analytics and AI solutions.
  • Develop a range of outputs including quick proofs of concepts, up to large, scalable, sustained data products.
  • Access data (e.g. via APIs), prepare data, and generate features as required for modeling tasks.
  • Design, build, and deploy machine learning models across a range of use cases (e.g., forecasting, segmentation, pattern detection).
  • Analyze structured and unstructured data to generate insights, statistical findings, and develop high‑quality data products.
  • Lead AI and predictive modeling initiatives, including LLM‑based/GenAI applications, computer vision, and traditional ML solutions.
  • Collaborate with engineering teams to deliver scalable data pipelines and solutions across modern platforms (e.g., Snowflake, Databricks, Dataiku, cloud).
  • Communicate insights clearly through visualizations, dashboards, and executive‑ready storytelling.
  • Mentor team members, contributing to a culture of continuous learning and development within Amplifi.
Necessary Skills / Attributes
  • Experience with modern data platforms and AI/ML development tools (e.g., Dataiku, Databricks, or similar)
  • Proficiency in Python and SQL; experience with API/JSON integrations.
  • Experience with statistical analysis and interpretation of data.
  • Experience with machine learning algorithms for prediction, classification, and time series.
  • Experience building and deploying AI/ML solutions (predictive models, LLMs, computer vision, etc.)
  • Experience with data visualization tools (Power BI, Tableau, or similar)
  • Exceptional communication and stakeholder management skills; comfortable presenting to the C‑suite and working alongside data engineers alike
  • Experience in Agile project delivery environments
Education / Experience
  • 5+ years of experience in data science, machine learning, or analytics
  • Master's degree in Analytics, Data Science, Statistics, Computer Science, or related field preferred.
Travel

Ability to travel up to 20% of the time.

Benefits & Compensation

Amplifi offers excellent compensation and benefits including, but not limited to, health, dental, 401(k) program, employee assistance program, short and long‑term disability, life insurance, accidental death and dismemberment (AD&D), PTO program, flex work schedules, and paid holidays. Amplifi is an Equal Opportunity Employer.

Equal Opportunity Employer

Amplifi is proud to be an Equal Opportunity Employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or other protected characteristics.

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