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Python Data Scientist Jobs in Wisconsin (NOW HIRING)

WI · On-site

$150 - $200/hr

Yes) Job Summary The Data Scientist Team Lead leads a team of data scientists and analysts focusing ... Databricks * Python * SQL * Advanced statistical analysis * Machine learning * Emerging AI ...

WI · On-site

$100 - $125/hr

Merkle Science is looking for a data scientist to develop and implement clustering and attribution ... This role requires expertise in Python and SQL, and offers a high degree of ownership with minimal ...

... GenAI Data Scientist - Manager, you will play a pivotal role in transforming raw data into ... Python and Java to enhance AI model deployment - Overseeing the creation and maintenance of data ...

Senior Data Scientist

Brookfield, WI · On-site

$132K - $155K/yr

... python/R/SAS/SQL for data extraction, data mining, and predictive analytics - Demonstrated project management skills - Effective interpersonal, verbal and written communication skills If there ...

Showing results 41-60

Python Data Scientist information

See Wisconsin salary details

$37.9K

$123.9K

$198.3K

How much do python data scientist jobs pay per year?

As of Sep 8, 2026, the average yearly pay for python data scientist in Wisconsin is $123,886.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,400.00 and $137,300.00 per year, depending on experience, location, and employer.

What is a Python data scientist?

A Python Data Scientist is a professional who uses Python programming language and its data analysis libraries to extract insights from large datasets. They apply statistical techniques, machine learning algorithms, and data visualization tools to solve business problems and make data-driven decisions. Python Data Scientists often work with tools like pandas, NumPy, scikit-learn, and Jupyter notebooks to manipulate data and build predictive models. Their role typically involves collecting, cleaning, analyzing, and interpreting complex data to help organizations make informed decisions.

What are some common challenges faced by Python data scientists when working with large datasets?

Python Data Scientists often encounter challenges related to processing and analyzing large datasets, such as memory limitations and slow computation times. To address these, professionals typically use libraries like Pandas, Dask, or PySpark to optimize data handling and leverage parallel computing. Collaborating closely with data engineers and IT teams can also help in setting up efficient data pipelines and scalable infrastructure. Staying updated with best practices in data preprocessing and model optimization is crucial for managing these challenges effectively.

What are the key skills and qualifications needed to thrive as a Python data scientist, and why are they important?

To thrive as a Python Data Scientist, you need strong analytical skills, a solid understanding of statistics, machine learning, and proficiency in Python programming, typically backed by a degree in computer science or a related field. Familiarity with tools and libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, and version control systems like Git is essential. Problem-solving, curiosity, and effective communication are standout soft skills for this role. These abilities are crucial for extracting actionable insights from data, building predictive models, and collaborating across multidisciplinary teams.

What is the difference between Python Data Scientist vs Data Analyst?

AspectPython Data ScientistData Analyst
Required SkillsPython, machine learning, statistical analysis, data modelingExcel, SQL, basic statistics, data visualization
CertificationsData Science certifications, Python programming coursesData analysis or business intelligence certifications
Work EnvironmentData science teams, R&D, predictive modeling projectsBusiness units, reporting, data visualization tasks
Industry UsageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Python Data Scientists focus on building predictive models and advanced analytics using Python, while Data Analysts primarily interpret data through visualization and reporting. Both roles require strong analytical skills, but Python Data Scientists typically have more programming and machine learning expertise, making them suitable for complex data projects.

How much do Python data scientists make?

Python data scientists typically earn between $80,000 and $130,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and big data can command higher salaries, often exceeding $150,000. Compensation may also include bonuses and stock options in some companies.

Is Python good for data science?

Python is widely used by data scientists due to its simplicity, extensive libraries like Pandas, NumPy, and scikit-learn, and strong community support. It enables efficient data analysis, modeling, and visualization, making it a preferred programming language in the data science field.

What are popular job titles related to Python Data Scientist jobs in Wisconsin?

For Python Data Scientist jobs in Wisconsin, the most frequently searched job titles are:

What cities in Wisconsin are hiring for Python Data Scientist jobs?

Cities in Wisconsin with the most Python Data Scientist job openings:

Infographic showing various Python Data Scientist job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $123,886 per year, or $59.6 per hour.

Lead Applied Data Scientist - Search Ranking (applied ML, LLMs, NLP)

Target

Stevens Point, WI • On-site

$132K - $286K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.


Key responsibilities

  • Develop and deploy scalable deep learning models to improve the search experience of guests

  • Use LLM and agentic technologies to improve ecommerce search experience

  • Architect and implement large-scale AI systems using test-driven development practices


Target rating

6.6

Company rating: 6.6 out of 10

Based on 7,059 frontline employees who took The Breakroom Quiz

14th of 39 rated national retailers


Job description

The pay range is $132,000.00 - $286,000.00

Pay is based on several factors which vary based on position.These include labor markets and in some instancesmay include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves.Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation.Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits.

JOIN TARGET AS A LEAD DATA SCIENTIST - SEARCH AND BROWSE

About us:

Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here.

A role withTargetData Sciencesmeans the chance to help develop and managestate of the art predictivealgorithmsthatuse data at scale to automateand optimize decisions at scale. Whether you join our Statistics, Optimization or Machine Learning teams, you'll be challenged to harness Target's impressive data breadth to build the algorithmsthat power solutions our partners in Marketing, Supply Chain, Forecasting, Search and Personalization rely on.

Every Scientist on Target's Data Sciences team can expect modeling and data science, software/product development of highly performant code for model performance, and to elevate Target's culture and apply retail domain knowledge.

The Search and Browse Applied Data Sciences team builds the core relevance engine and Data Science products that power Target's Digital experience. As a Lead Data Scientist on this product - you'll work with business partners to provide solutions for business problems in a fast-paced and global environment. You'll have the opportunity to design quality, flexible and performant Data Science systems and services at scale. You'll also architect Data Science solutions that capture, process and mine huge datasets in the retail industry. We'll also promote innovative thinking as well as the opportunity to use cutting-edge machine learning algorithms and NLP techniques to improve our Mobile and Web Search systems!

As aLeadApplied Data Scientist - Search and Browse you'll:

  • Develop and deploy scalable deep learning models to improve the search experience of guests
  • Use LLM and agentic technologies to improve ecommerce search experience
  • Architect and implement large-scale AI systems using test-driven development practices
  • Build NLP technology for query and document analysis, processing, and understanding
  • Create data pipelines for feature/label extraction and generation
  • Conduct data analysis to identify opportunities and improve models
  • Conduct research to advance the state-of-the-art ML, LLM, and NLP technologies
  • Contributing to the operations/building of AI pipelines
  • Adopting Target's infrastructural platforms and operationalize tools and systems around them
  • Mentor and partner with other engineers to develop software that meets business needs
  • Collaborate effectively with product and business partners to define and scope solutions
  • Follow agile methodology for software development and technical documentation
  • Innovate constantly and keep systems up to date with current technologies

Core responsibilities of this job are described within this job description.Job duties may change at any time due to business needs.

About you:

  • PhD or MS in Computer Science, Applied Mathematics, Statistics, Physics or equivalent work or industry experience
  • Research or industry experiences in search indexing, information retrieval or ranking
  • Demonstrated experience in NLP, LLMs, agentic systems or recommendation systems at scale
  • 5+ years of experience in deploying machine learning algorithms into production environments with good ML Ops experience
  • Proficient in Python or Java with excellent coding and problem-solving skills
  • Exceptional hands-on modeling skills using Python
  • Extensive experience implementing and integrating ML models in production in high traffic/scale
  • Experience querying large databases with SQL, HQL, or some variation
  • Exceptional interpersonal and communication skills for partnering with global teams
  • Self-driven and results-oriented, with strong ownership, sound judgment and the ability to move quickly while maintaining high technical standard
  • Collaborative team player with a commitment to continuous learning, knowledge sharing, and building reliable AI systems that create business value

This position will operate as a Hybrid/Flex for Your Day work arrangement based on Target's needs. A Hybrid/Flex for Your Day work arrangement means the team member's core role will need to be performed both onsite at the Target HQ Sunnyvale, CA or MN location the role is assigned to and virtually, depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target.

Target will consider for employment qualified applicants with criminal histories in a manner consistent with the San Francisco and City of Los Angeles Fair Chance Ordinances.

Benefits Eligibility

Please paste this url into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_E

Americans with Disabilities Act (ADA)

In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to candidate.accommodations@HRHelp.Target.com. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel.

Application deadline is : 09/10/2026

What Target employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About Target

Sourced by ZipRecruiter

We're here to help all families discover the joy of everyday life. Target is a general merchandise retailer with stores in all 50 U.S. states and the District of Columbia. 75% of the U.S. population lives within 10 miles of a Target store. We employ 400,000+ Our tagline is "Expect More. Pay Less." We've been using it since 1994! The Target Corporation also owns Shipt and Roundel. More to love! Target is headquartered in Minneapolis, Minnesota, its hometown since the first Target store opened in 1962 under The Dayton Company.

Industry

Retail and scientific research and development services

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US