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Data Science Jobs in La Crosse, WI (NOW HIRING)

Syensqo

Production Engineer

Winona, MN · On-site

$84K - $123K/yr

Establish and maintain control of process metrics and data such as cycle time, productivity, uptime ... Inspired by the scientific councils which Ernest Solvay initiated in 1911, we bring great minds ...

Core Molding Technologies, Inc.

Quality Engineer

Winona, MN · On-site

$69K - $90K/yr

Analyze quality and failure data to identify trends, risks, and opportunities for improvement ... Bachelor's degree in Engineering, Industrial Technology, or a related technical, science, or ...

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Data Science information

See La Crosse, WI salary details

$36.8K

$120.5K

$192.9K

How much do data science jobs pay per year?

As of Sep 1, 2026, the average yearly pay for data science in La Crosse, WI is $120,495.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,700.00 and $133,500.00 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 La Crosse, WI?

The most popular types of Data Science jobs in La Crosse, WI are:

What job categories do people searching Data Science jobs in La Crosse, WI look for?

The top searched job categories for Data Science jobs in La Crosse, WI are:

What cities near La Crosse, WI are hiring for Data Science jobs?

Cities near La Crosse, WI with the most Data Science job openings:

Data Science jobs near you
Infographic showing various Data Science job openings in La Crosse, WI as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, and 3% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $120,495 per year, or $57.9 per hour.

Production Engineer

Syensqo

Winona, MN • On-site

$84K - $123K/yr

Full-time

Re-posted 12 days ago

Syensqo rating

8.6

Company rating: 8.6 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

17th of 102 rated chemical manufacturers

Job description

Syensqo is all about chemistry. We're not just referring to chemical reactions here, but also to the magic that occurs when the brightest minds get to work together. This is where our true strength lies. In you. In your future colleagues and in all your differences. And of course, in your ideas to improve lives while preserving our planet's beauty for the generations to come.

We are looking for:

The Production Engineer is responsible for providing technical leadership and support to ensure that currently defined processes meet or exceed targets in terms of SHE, quality, productivity and cost.  Lead incremental improvements initiatives to optimize existing processes. The incumbent reports to the Production Manager.  The incumbent interfaces with various other functional groups within the organization, customers and suppliers.  

We can count on you to:

  • Establish and maintain control of process metrics and data such as cycle time, productivity, uptime, yields, etc. to ensure existing processes are in control

  • Provide direct engineering support to production to ensure that product is running within SOP/PCD and to the desired quality standards.

  • Establish and maintain control of process metrics to ensure processes are in control

  • Plays lead technical role to ensure that process safety obligations are met include maintaining of safety file, lead/participate in PHAs, MHAs, MOCs, PSSR's etc.

  • Participate in visible safety leadership activities.  

  • Fill in as relief for Production Manager as needed.

  • Provide technical support and collaborates with Quality Engineers, Process Engineers and operations team to respond to all customer issues, quality escapes and other systemic quality issues.

  • Maintain, develop and update all control documents such as SOP's, MSOP's, WI's, recipes, visual Inspection, etc.  

  • Maintain and manage recipe effectiveness metric, BOMs, scrap, yield, and other aspects of product configuration

  • Liaise with project/process engineers to implement new capital project in production area. 

  • Supports employees in lean and six sigma principles and methodology. Ensure that operators have the background knowledge in these principles in order that they can effectively engage with the Area Improvement Team. 

  • Maintains SOP's, BOM's and recipes to an acceptable level in order that the operation runs to plan while minimizing quality issues.

  • Ensures productivity metrics such as uptime and throughput are visible on the shop floor and deviations to standard are being worked.

  • Ensures that recipe timings are correct to real running conditions in order that OTIF is maximized. Will be measured via the router effectiveness metric.

  • Leads continuous improvement activities through the use of lean and various engagement tools (including kaizen, workout, 6S, etc.)

  • Lead execution of incremental process improvements (e.g. waste and First-time-Right) by actively engaging horizontally, vertically with all levels

  • Take corrective action to address process deviations and identify root cause to prevent recurrence

You will bring:

  • This position requires a four-year B.S. degree preferably in Composite or Chemical Engineering
  • Minimum of 2 years of manufacturing experience. 
  • Must have well developed communication skills to work effectively with customers, operators, suppliers and other support groups within Syensqo. 
  • High motivation and self-starting abilities are a must and able to handle complex and demanding situations while maintaining sound decision making.

You can count on us to:

  • Provide excellent training and development opportunities at Syensqo

You will get:

  • Competitive salary and benefits package.

  • The U.S. base salary range reasonably expected to be paid for this position is $84,000 - 123,000 per year. Since actual compensation packages are based on a variety of factors unique to each candidate we may ultimately pay more or less than the posted base salary range. Total compensation for this role also includes bonus and/or other incentives.

  • Relocation assistance may be offered dependent on candidate's current location

  • 16, or more, weeks of maternity/paternity and co-parenting leave, according to local regulations

  • Training platform for all employees

  • Free well-being sessions (physical and psychological)

About us

  • Syensqo is a science company developing groundbreaking solutions that enhance the way we live, work, travel and play. Inspired by the scientific councils which Ernest Solvay initiated in 1911, we bring great minds together to push the limits of science and innovation for the benefit of our customers, with a diverse, global team of more than 13,000 associates. Our solutions contribute to safer, cleaner, and more sustainable products found in homes, food and consumer goods, planes, cars, batteries, smart devices and health care applications. Our innovation power enables us to deliver on the ambition of a circular economy and explore breakthrough technologies that advance humanity.
  • At Syensqo, we seek to promote unity and not uniformity. We value the diversity that individuals bring and we invite you to consider a future with us, regardless of background, age, gender, national origin, ethnicity, religion, sexual orientation, ability or identity. We encourage individuals who may require any assistance or accommodations to let us know to ensure a seamless application experience. We are here to support you throughout the application journey and want to ensure all candidates are treated equally. If you are unsure whether you meet all the criteria or qualifications listed in the job description, we still encourage you to apply.
  • Syensqo is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected characteristics.

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