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Data Science Jobs in Appleton, WI (NOW HIRING)

US Venture, Inc.

Data Science Intern

Appleton, WI · On-site

S. Venture Data and Analytics team as a Data Science Intern for Summer 2027! U.S. Venture's Internship Program runs May - August 2027. Dates may vary based on individual class schedules. This ...

US Venture, Inc.

Data Science Intern

Appleton, WI · On-site

S. Venture Data and Analytics team as a Data Science Intern for Summer 2027! U.S. Venture's Internship Program runs May - August 2027. Dates may vary based on individual class schedules. This ...

New

Valid8 Financial, Inc.

Data Scientist

Appleton, WI · On-site

$120 - $180/hr

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 ...

Faith Technologies Inc.

Data Engineer II

Menasha, WI · On-site

$117K - $140K/yr

You will collaborate with cross-functional teams to ensure data availability, reliability, and performance for analytics, reporting, and data science purposes. This role offers an exciting ...

Faith Technologies

Data Engineer II

Menasha, WI · On-site

$117K - $140K/yr

You will collaborate with cross-functional teams to ensure data availability, reliability, and performance for analytics, reporting, and data science purposes. This role offers an exciting ...

Robert Half

Data Architect (GCP)

Appleton, WI · On-site

$140K - $170K/yr

The Data Architect will work closely with a team of Data Engineers, Data Analysts, and Data Scientists to establish the technical vision, architecture, and standards for the organization's modern ...

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All JobsData Science JobsData Science Jobs in Appleton, WI

Data Science information

See Appleton, WI salary details

$35.7K

$116.8K

$187K

How much do data science jobs pay per year?

As of Aug 19, 2026, the average yearly pay for data science in Appleton, WI is $116,809.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,700.00 and $129,400.00 per year, depending on experience, location, and employer.

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 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 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.

Is a data scientist in high demand?

Data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

What jobs can a data scientist do?

A data scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.
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:

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For Data Science jobs in Appleton, WI, the most frequently searched job titles are:

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The top searched job categories for Data Science jobs in Appleton, WI 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 August 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 100% In-person job distribution, with an average salary of $116,809 per year, or $56.2 per hour.

Data Science Intern

US Venture, Inc.

Appleton, WI • On-site

Full-time

Posted 20 days ago

U.S. Venture rating

8.2

Company rating: 8.2 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

91st of 419 rated retail wholesalers

Job description

POSITION SUMMARY
Join the U.S. Venture Data and Analytics team as a Data Science Intern for Summer 2027!
U.S. Venture's Internship Program runs May - August 2027. Dates may vary based on individual class schedules. This position is located at our Corporate Office in Appleton, WI.
JOB RESPONSIBILITIES
  • The ideal candidate is a data enthusiast who is looking to apply data science methodologies and solutions in industry to solve real-world business scenarios.

  • The right candidate will be excited by the prospect of identifying and implementing data science solutions that support US Venture's strategic initiatives.

  • We are seeking an intern who is self-directed and will be comfortable supporting the data needs of multiple teams, systems, and products.

  • We are seeking a team player possessing strong analytical as well as technical skills and who can communicate the logic behind technical decisions to non-technical stakeholders.

  • Other duties as assigned

QUALIFICATIONS
  • Pursuing a bachelor's or advanced degree in Data Science, Statistics, Computer Science, or related field
  • Ability to build processes that support data transformation, data structures, metadata, dependency, and workload management
  • Proficiency in Python, with a strong emphasis on data manipulation and analysis using libraries such as Pandas
  • Basic understanding of machine learning concepts and algorithms
  • Demonstration of previous data science projects is preferred
  • Strong interpersonal skills and ability to work with cross-functional teams

DIVISION:
Corporate
U.S. Venture will not offer sponsorship for employment status (including, but not limited to, H-1B, TN, E-3, F1, CPT, OPT, STEM OPT, visa status and other employment-based nonimmigrant visas) for this position. Accordingly, all applicants must be currently authorized to work in the United States on a full-time basis and must not require U.S. Venture's sponsorship to continue to work legally in the United States. In general, U.S. Venture does not sponsor candidates for nonimmigrant visas or permanent residency except when there is a specific business need.
U.S. Venture will not accept unsolicited resumes from recruiters or employment agencies. In the absence of an executed recruitment Master Service Agreement, there will be no obligation to any referral compensation or recruiter fee. In the event a recruiter or agency submits a resume or candidate without an agreement, U.S. Venture shall reserve the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency. Any unsolicited resumes, including those submitted to hiring managers, shall be deemed the property of U.S. Venture.
U.S. Venture, Inc. is an equal opportunity employer that is committed to inclusion and diversity. We ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender, gender identity or expression, marital status, age, national origin, disability, veteran status, genetic information, or other protected characteristic. If you need assistance or an accommodation due to a disability, you may call Human Resources at (920) 739-6101.
99-00-821-0000

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