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Data Science Jobs in Appleton, WI (NOW HIRING)

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 developing analytical tools to solve complex business problems. You will also be expected to act as ...

Us Venture

Senior Data Scientist

Appleton, WI · On-site

Apply data science fundamentals: data collection, cleansing, modeling, and visualization.influence business decisions, and embed advanced analytics into core processes. * Develop solutions in Python ...

U.S. Venture, Inc.

Senior Data Scientist

Appleton, WI · On-site

Apply data science fundamentals: data collection, cleansing, modeling, and visualization.influence business decisions, and embed advanced analytics into core processes. * Develop solutions in Python ...

Amcor

R&D Senior Manager - Data Science

Neenah, WI

As a key enabler of digital transformation, this leader oversees a multidisciplinary team spanning data science, business intelligence, and systems management-translating complex materials and R&D ...

Amcor plc

R&D Senior Manager - Data Science

Neenah, WI · On-site

As a key enabler of digital transformation, this leader oversees a multidisciplinary team spanning data science, business intelligence, and systems management-translating complex materials and R&D ...

Bellin

Accountable Care Data Analyst

Green Bay, WI · On-site

Bachelor's degree in field of healthcare, public/population health, statistics, data science, or related field required. Certification/Registration/Licensure : Valid driver's license required. EPIC ...

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See Appleton, WI salary details

$36.6K

$119.8K

$191.7K

How much do data science jobs pay per year?

As of May 29, 2026, the average yearly pay for data science in Appleton, WI is $119,759.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,100.00 and $132,700.00 per year, depending on experience, location, and employer.

What Does a Data Scientist Do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.

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

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

More about Data Science jobs
What are the most commonly searched types of Data Science jobs in Appleton, WI? The most popular types of Data Science jobs in Appleton, WI are:
What are popular job titles related to Data Science jobs in Appleton, WI? For Data Science jobs in Appleton, WI, the most frequently searched job titles are:
What cities near Appleton, WI are hiring for Data Science jobs? Cities near Appleton, WI with the most Data Science job openings:
Data Science jobs near you
Infographic showing various Data Science job openings in Appleton, WI as of May 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 75% Physical, 11% Hybrid, and 14% Remote job distribution, with an average salary of $119,759 per year, or $57.6 per hour.

Senior Data Scientist

Newance

Green Bay, WI • On-site

Full-time

Posted 14 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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