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Senior Python Data Science Jobs in Green Bay, WI

Newance

Senior Data Scientist

Green Bay, WI · On-site

As a member of our Data Science team, you will play a crucial role in leveraging, building and ... SQL, R, Python). * Proficient in executing of the following: * Advanced statistical modeling ...

U.S. Venture

Principal Data Scientist

Appleton, WI · On-site

POSITION SUMMARY As the most senior individual contributor on our Data Science team, you will set ... S. Venture (SQL, R, Python) and the surrounding tooling for testing, version control, and ...

Fielmann USA

Data Engineer I

Green Bay, WI · On-site

$111K - $133K/yr

... senior engineers DATA INTEGRATION • Assist with integrations from various data sources into the ... in computer science, data engineering, information systems, or related field or equivalent ...

U.S. Venture

Senior AI Engineer (Breakthrough)

Green Bay, WI · On-site

$101K - $139K/yr

Collaborate with engineers and data scientists to build and deploy scalable AI-driven features ... Proficiency in multiple programming languages, frameworks, and technologies such as Python, SQL ...

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Senior Python Data Science information

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$53.5K

$138.1K

$189.7K

How much do senior python data science jobs pay per year?

As of Jul 9, 2026, the average yearly pay for senior python data science in Green Bay, WI is $138,094.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,200.00 and $159,000.00 per year, depending on experience, location, and employer.

What is the difference between Senior Python Data Science vs Data Analyst?

AspectSenior Python Data ScienceData Analyst
Required SkillsPython, machine learning, statistical analysis, data modelingExcel, SQL, data visualization, basic statistics
Work EnvironmentData science teams, R&D, product developmentBusiness units, reporting, operational analysis
Industry UsageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Senior Python Data Scientists focus on advanced analytics, machine learning, and building predictive models using Python, often working in R&D or product teams. Data Analysts primarily handle data reporting, visualization, and basic statistical analysis to support business decisions. While both roles require data handling skills, Senior Python Data Science roles demand deeper technical expertise and experience with complex algorithms.

What are popular job titles related to Senior Python Data Science jobs in Green Bay, WI? For Senior Python Data Science jobs in Green Bay, WI, the most frequently searched job titles are:
What job categories do people searching Senior Python Data Science jobs in Green Bay, WI look for? The top searched job categories for Senior Python Data Science jobs in Green Bay, WI are:
Senior Python Data Science jobs near you
Senior Data Scientist

Senior Data Scientist

Newance

Green Bay, WI • On-site

Full-time

Posted 25 days ago

Job description

 POSITION 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.

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