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Data Science Jobs in Appleton, WI (NOW HIRING)

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 ...

AWS Data Architect

Neenah, WI · On-site

$64.50 - $82.75/hr

Bachelor's or Master's degree in Computer Science, Information Systems, or a related field * 7+ years of experience in data architecture, data engineering, or cloud architecture * Strong hands-on ...

Data Warehouse Developer

Menasha, WI · On-site

$50.50 - $69/hr

Beacon Technologies is seeking a Data Warehouse Developer for our client partner. This is a hybrid ... Requires Associate Degree in Computer Science, Business, or related technical field; equivalent ...

Data Engineer

Appleton, WI · On-site

$111K - $134K/yr

Bachelor's Degree in Computer Science, Information Systems, or related field, or equivalent practical experience. * 5-7+ years of experience in data engineering, ETL development, or database ...

GCP Data Engineer

Appleton, WI · On-site

$75 - $80/hr

... Science, Information Systems, or a related field. · Previous consulting experience is preferred but not required. · Experience migrating data platforms and workloads from Microsoft Azure to Google ...

The Data Warehouse Engineer I is part of a team dedicated to supporting Network Health's Enterprise ... Requires Associate Degree in Computer Science, Business, or related technical field; equivalent ...

Showing results 21-40

Data Science information

See Appleton, WI salary details

$36.6K

$119.7K

$191.6K

How much do data science jobs pay per year?

As of Sep 10, 2026, the average yearly pay for data science in Appleton, WI is $119,703.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,100.00 and $132,600.00 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.

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 job categories do people searching Data Science jobs in Appleton, WI look for?

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:

Infographic showing various Data Science job openings in Appleton, WI as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 80% Full Time, 15% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $119,703 per year, or $57.5 per hour.

Supply Chain Data & Analytics Lead

Neenah, WI • On-site

Kimberly-Clark
Manufacturing • 10K+ employees

Full-time

Retirement

This job post has expired today. Applications are no longer accepted.


Key responsibilities

  • Leverage advanced analytics and visualization tools to translate complex data into actionable supply chain insights.

  • Lead the development and deployment of analytical models to enable data-driven decision making across the end-to-end supply chain.

  • Partner cross-functionally to build a robust data foundation using tools such as SQL, Snowflake, HANA VDMs, and Power BI.


Kimberly-Clark rating

8.5

Company rating: 8.5 out of 10

Based on 67 frontline employees who took The Breakroom Quiz

34th of 547 rated manufacturers


Job description

Supply Chain Data & Analytics LeadJob Description

You were made to create Better Care for a Better World: designing new technologies, diving into data, optimizing digital experiences, and constantly developing better, faster ways to get results. You want to be part ofa performance culture dedicated to building technology for a purpose that matters. Here, you'll work in an environment that promotes sustainability, inclusion, wellbeing, and career development while you help us deliver better care for billions of people around the world. It starts with YOU.

About You

In one of our technical roles, you'll focus on winning with consumers and the market, while putting safety, mutual respect, and human dignity at the center. In this role, you will:

  • Leverage advanced analytics and visualization tools (Power BI, Celonis) to translate complex data into actionable supply chain insights.

  • Lead the development and deployment of analytical models to enable data-driven decision making across the end-to-end supply chain.

  • Apply strong business acumen to optimize operations and guide supply chain analytics strategy and priorities.

  • Analyze large datasets to identify optimization opportunities and develop scalable metrics, KPIs, and statistical models.

  • Partner cross-functionally to build a robust data foundation using tools such as SQL, Snowflake, HANA VDMs, and Power BI.

  • Lead end-to-end initiatives including process mapping, use case identification, and project execution to drive measurable business impact and automation.

To succeed in this role, you will need the following qualifications:

Required Qualifications

  • Bachelors degree in Supply Chain, Data Science, Data Analytics, Applied Mathematics, Engineering or related field.

  • 5+ years of business experience , including 5 + years working experience in data science, analytics and/or data modeling.

  • Advanced analytics, data visualization, and reporting dashboard design and development experience.

  • Knowledge of or willingness / ability to learn new analytical and automation tools.

  • Demonstrated leadership in executing innovative, technology-driven solutions through strategic problem-solving, cross-functional collaboration, and strong analytical thinking.

  • Strong technical/analytic skills and experience in multiple platforms such as Excel, SAP/S4, Data Warehouse reporting, Celonis, Power BI, Power Platform, HANA VDMs, Snowflake.

Preferred Qualifications

  • MBA or MS in Engineering, Data Science, Analytics or related field.

  • Experience with relational database structure and design, SQL, or Snowflake.

  • Experience in analytics or data science roles supporting Supply Chain organizations, with a demonstrated ability to leverage data, visualization tools, and advanced analytical methods to drive business outcomes.
  • 3+ years of experience using various programming languages (R, Python etc.) to develop and apply advanced cognitive or machine learning methods and algorithms to address Supply Chain problems.

  • Exceptional communication skills, with ability to simplify complex concepts for ease of understanding.

  • Good facilitation and presentation skills, including training delivery.

  • Ability to mentor Data Analysts and other team members in established best practices.

Led by Purpose. Driven by You.

Total Benefits

We believe that our employees are our greatest asset, and we're committed to providing them with the resources they need to be successful. If you're looking for a rewarding career with a company that cares about its employees, then Kimberly-Clark is the place for you.

Here are just a few of the benefits you'd enjoy working in this role for Kimberly-Clark. For a complete overview, see www.mykcbenefits.com.

To Be Considered
Click the Apply button and complete the online application process. A member of our recruiting team will review your application and follow up if you seem like a great fit for this role.

In the meantime, please check out the careers website.

And finally, the fine print....


For Kimberly-Clark to grow and prosper, we must be an inclusive organization that applies the diverse experiences and passions of its team members to brands that make life better for people all around the world, which is why we seek to build a workforce that encompassesthe experiences of our consumers.When you bring your original thinking to Kimberly-Clark, you fuel the continued success of our enterprise. We are a committed equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation, gender identity, age, pregnancy, genetic information, citizenship status, or any other characteristic protected by law.

The statements above are intended to describe the general nature and level of work performed by employees assigned to this classification. Statements are not intended to be construed as an exhaustive list of all duties, responsibilities and skills required for this position.

Employment is subject to verification of pre-screening tests which may include drug screening, background check, and DMV check.

Veterans and members of the Reserve and Guard are highly encouraged to apply.

This role is available for local candidates already authorized to work in the role's country only. Kimberly-Clark will not provide relocation support for this role.

Employment is subject to verification of local policies.

Salary Range: 116,380 - 143,740 USDAt Kimberly-Clark, pay is just one aspect of our total rewards package, which also includes a variety of benefits and opportunities to achieve, thrive and grow. Along with base pay, this position offers eligibility for a target bonus and a comprehensive benefits suite, including our 401(k) and Profit Sharing plan. The anticipated base pay range for this role is provided above for a fully qualified hire. Actual pay will depend on several factors, such as location, role, skills, performance, and experience. Please note that the stated pay range applies to US locations only.Primary LocationUSA-IL-ChicagoAdditional LocationsKnoxville Office, Neenah - West Office Facility 1, Pune Kharadi Hub, Roswell Building 300, Sao Paulo OfficeWorker TypeEmployeeWorker Sub-TypeRegularTime TypeFull time

What Kimberly-Clark employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Kimberly-Clark logo

About Kimberly-Clark

Sourced by ZipRecruiter

Huggies®. Kleenex®. Cottonelle®. Scott®. Kotex®. Poise®. Depend®. Kimberly-Clark Professional®. You already know our legendary brands--and so does the rest of the world. In fact, 25% of people in the world use Kimberly-Clark products every day. We know that these amazing Kimberly-Clark products wouldn't exist without skilled workers, like you. Here, you'll use your skills to make some of the most helpful things for billions of people all around the world - all in a safe, stable, and caring environment. While our products support better lives for billions of people around the world, our company passionately supports the ability for over 45,000 employees to do their best work and enjoy life.

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Irving, TX, US

Year founded

1872