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Data Science Junior Jobs in Wisconsin (NOW HIRING)

This individual will be considered a mentor to junior members of the Data Science Team contributing to their professional growth. Innovation * The Data Science Team is one of the teams at the ...

Coach and mentor junior consultants and review modeling work for quality and rigor. * Support ... Master-level data science industry knowledge and knowledge of the insurance marketplace. What would ...

Coach and mentor junior consultants and review modeling work for quality and rigor. * Support ... Master-level data science industry knowledge and knowledge of the insurance marketplace. What would ...

Coach and mentor junior consultants and review modeling work for quality and rigor. * Support ... Master-level data science industry knowledge and knowledge of the insurance marketplace. What would ...

Coach and mentor junior consultants and review modeling work for quality and rigor. * Support ... Master-level data science industry knowledge and knowledge of the insurance marketplace. What would ...

Translate data science outputs into business outcomes and value delivered * Mentor and guide junior data scientists, providing technical expertise and fostering a culture of continuous learning and ...

Assists junior data scientists with tasks, as appropriate. * Maintains multiple projects simultaneously and functions effectively both independently and as part of a team. * Keeps abreast of ...

Jr. Data Engineer

Germantown, WI ยท On-site

$116K - $139K/yr

Overview The Junior Data Engineer supports the design, development, and maintenance of data ... Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field (or ...

Guide junior engineers on specific technical problems and code quality. * Contribute to design ... Education in Computer Science, Software Engineering, Data Engineering, Data Science, or a related ...

Leverage advanced technical skills in modern data architecture, data science engineering, data ... Mentor, motivate, and coach junior members on technical best practices and inspire professional ...

... data quality and compliance, mentoring junior analysts, and monitoring KPIs to present insights to leadership. Minimum Job Requirements Education * Bachelor's degree in Data Science, Computer Science ...

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Data Science Junior information

See Wisconsin salary details

$34.8K

$80.1K

$128.7K

How much do data science junior jobs pay per year?

As of Jul 30, 2026, the average yearly pay for data science junior in Wisconsin is $80,094.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,500.00 and $82,300.00 per year, depending on experience, location, and employer.

What are some typical daily responsibilities for a Data Science Junior?

As a Data Science Junior, your daily tasks often include cleaning and preparing data sets, conducting exploratory data analyses, and supporting the development of predictive models under the guidance of senior team members. You may also assist in visualizing data and preparing reports to help communicate insights to both technical and non-technical stakeholders. Collaboration is a key part of the role, as you'll frequently work with data engineers, analysts, and business teams to understand project goals. These responsibilities help you build foundational skills and gain exposure to a variety of real-world data problems early in your career.

What is a Data Science Junior job?

A Data Science Junior is an entry-level role in data science where professionals assist in analyzing data, building models, and generating insights. They work under the guidance of senior data scientists, helping with data cleaning, visualization, and basic machine learning tasks. This role requires proficiency in programming languages like Python or R, knowledge of statistics, and familiarity with data manipulation tools. It serves as a foundation for gaining hands-on experience and advancing in the data science field.

What are the key skills and qualifications needed to thrive in the Data Science Junior position, and why are they important?

To thrive as a Data Science Junior, a strong understanding of statistics, mathematics, and data analysis is essential, often supported by a bachelor's degree in a related field. Familiarity with programming languages like Python or R, as well as tools such as SQL and visualization platforms, is typically required. Strong problem-solving abilities, effective communication, and a willingness to learn make candidates stand out in this role. These skills enable efficient data exploration, clear communication of insights, and successful collaboration on data-driven projects.

What are the most commonly searched types of Data Science jobs in Wisconsin? The most popular types of Data Science jobs in Wisconsin are:
What cities in Wisconsin are hiring for Data Science Junior jobs? Cities in Wisconsin with the most Data Science Junior job openings:
Infographic showing various Data Science Junior job openings in Wisconsin as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $80,094 per year, or $38.5 per hour.

Senior Data Scientist

Newance

Green Bay, WI โ€ข On-site

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

โ€ŠPOSITION SUMMARY
We are seeking a skilled and motivated Senior Data Scientist to join our dynamic and innovative Data Intelligence Organization. As a member of our Data Science team, you will play a crucial role in leveraging, building and developing analytical tools to solve complex business problems. You will also be expected to act as mentor to junior team members, growing their skillsets while working to advance your skillset and developing new solutions to add to the analytical tools available to the Data Science Team and the Data Intelligence Organization.
This role will work on-site in Green Bay with in office expectations Monday - Thursday and optional remote work Friday's as business needs allow.JOB RESPONSIBILITIES
Development:
  • The expectation is that this individual will join the team being
    • Expertly skilled in the following:
      • Understanding of core processes: data collection, cleansing, data models, data modeling and data visualization.
      • Understanding of the businesses for which Breakthrough provides solutions and products and how those solutions and products operate.
      • While maintaining company coding standards, demonstrate the ability to build solutions, solve problems and develop in the coding languages used at Breakthrough (SQL, R, Python).
    • Proficient in executing of the following:
      • Advanced statistical modeling techniques (ML/AI)
      • Data engineering concepts
      • Optimization model methodologies
      • Forecasting model development and management
      • Ability to deploy developed models into a production system.
  • This individual will be considered a mentor to junior members of the Data Science Team contributing to their professional growth.

Innovation
  • The Data Science Team is one of the teams at the forefront of innovation at Breakthrough. This individual will be expected to be a leader in the ideation that occurs within the team.
  • This individual will be involved in leading white boarding sessions with other Data Science team members and team members outside of the Data Science Team. They will be expected to generate new ideas, foster discussion and be a leader in the innovation process.
  • This individual will build innovative solutions such as simulations and proof-of-concepts that will be utilized for making key decisions by the business.
  • This individual will also take part in the direction of junior team members in the development of innovative solutions.
  • This individual will be expected to pay attention to industry trends and model development potential use cases to leverage new ideas at Breakthrough.

Execution
  • The responsibilities this individual also includes:
    • Building data sets that they will use to estimate statistical and analytical models to solve complex analytical problems like forecasting and optimizations.
    • Building data visualizations that communicate the results of the project to internal stakeholders.
    • Communicating and presenting outcomes to internal and external stakeholders including senior leadership.
    • Writing documentation that outlines the work done and reviewing more junior members' documentation
    • Using code repositories for version control of models built
  • This individual will be leading, assigning and managing the execution of projects and will not be a key contributor in all projects. This will involve:
    • Talking with project owners from outside the Data Intelligence Organization.
    • Presenting outcomes to leadership.

Collaboration:
  • This individual will need to have strong interpersonal skills with the ability to build rapport and establish credibility with stakeholders at all levels including senior leadership.
  • Working with all team members and lead in the improvement of development processes.
  • Embrace mentorship of junior team members and develop and execute training programs.
QUALIFICATIONS
Required:
  • Bachelor's or Master's degree in Business Administration, Economics, Statistics, Computer Science or a related field involving problem solving and critical thinking, or equivalent work experience.
  • 5+ years working in data science-specific roles, with demonstrated experience working in roles that require proficiency with data modeling, statistical modeling, model deployment, data management and SQL-based development.
  • Expert ability to develop effective data visualizations that are used by upper management in decision-making situations.
  • Expertise in multiple programming languages, frameworks, and technologies, specifically Python, SQL, R, and orchestrators (DBT, Vertex, Airflow etc.). BigQuery experience a plus.
  • Proficient understanding of database concepts and data modeling principles.
  • Demonstrated high-level business acumen with a supply chain/transportation background being preferred.
  • 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.