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Python Data Scientist Jobs in Milwaukee, WI (NOW HIRING)

Deloitte is a leading consulting firm seeking an experienced Data Scientist to work in a ... such as Python or R. • 5+ Years of Experience with Strong knowledge of machine learning ...

Experience using modern analytics tools, programming languages, and cloud platforms such as Python ... Bachelor's of Science in Data Science, Computer Science, Statistics, Applied Mathematics or ...

... Python or R. * 5+ Years of Experience with Strong knowledge of machine learning techniques and ... As an experienced Data Scientist, you will have the ability to share new ideas and collaborate on ...

We are looking for someone that leads data science projects from start to finish, defining the ... Professional experience with Python. * Experience with SQL. * Experience with version control ...

Junior Data Scientist

Milwaukee, WI · Hybrid

$68K - $93K/yr

Write clean, well-documented Python for data processing, modeling, and analysis * Work with SQL to ... Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field

Strong experience using statistical computer languages (Python, SLQ, etc.) to manipulate data and ... A Data Science Lead should have excellent communication skills, including the ability to ...

Strong experience using statistical computer languages (Python, SLQ, etc.) to manipulate data and ... A Data Science Lead should have excellent communication skills, including the ability to ...

About the Role In this role you will work with a data science team and cross-functional partners to ... Expert in using modern analytics tools, programming languages, and cloud platforms (Python, R ...

Provide technical guidance to data scientists and analysts across the organization. * Mentor junior ... Strong programming skills in Python, R, or similar analytical languages. * Extensive experience ...

Job Title Sr Data Scientist TITLE: Sr Data Scientist EMPLOYER: Fiserv Solutions, LLC LOCATION ... with Python programming language; 4 years deploying, monitoring, and maintaining ML/DL model ...

... students for data science, web development, automation, and computer science coursework ... Familiar with Python curricula at introductory through advanced levels and common challenges such ...

Data Science Engineer

Milwaukee, WI · On-site

$112.50K - $135.10K/yr

Foley & Lardner LLP is currently seeking a Data Science Engineer to join our Business Systems and ... Working knowledge with core Python packages used for machine learning such as Pandas, scikit-learn ...

Foley & Lardner LLP is currently seeking a Data Science Engineer to join our Business Systems and ... Working knowledge with core Python packages used for machine learning such as Pandas, scikit-learn ...

Data Science Engineer

Milwaukee, WI · On-site

$77.50K - $108.50K/yr

Foley & Lardner LLP is currently seeking a Data Science Engineer to join our Business Systems and ... Working knowledge with core Python packages used for machine learning such as Pandas, scikit-learn ...

Senior Data Analyst

Milwaukee, WI · Hybrid

$84.70K - $106.90K/yr

... data scientist supporting marketing efforts for our Fortune 500 client. The role focuses on ... Proficiency in Excel, SQL, R, Python, and familiarity with BI tools like Tableau or PowerBI.

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Python Data Scientist information

See Milwaukee, WI salary details

$36.9K

$120.9K

$193.6K

How much do python data scientist jobs pay per year?

As of Jun 1, 2026, the average yearly pay for python data scientist in Milwaukee, WI is $120,927.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,000.00 and $134,000.00 per year, depending on experience, location, and employer.

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 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 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.

Is data science dead in 10 years?

As a Python Data Scientist, the field of data science is expected to evolve rather than become obsolete in 10 years. Advances in automation, machine learning tools, and increased data availability will likely shift the focus toward more specialized skills, but data science roles will continue to be essential for interpreting data and developing insights. Staying current with programming languages like Python and tools such as TensorFlow or scikit-learn will remain important for job relevance.

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.

What are popular job titles related to Python Data Scientist jobs in Milwaukee, WI? For Python Data Scientist jobs in Milwaukee, WI, the most frequently searched job titles are:
Data Scientist

Data Scientist

Deloitte

Milwaukee, WI • On-site

Full-time

Posted 3 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

59th of 138 rated financial services


Job description

Job Summary:
Deloitte is a leading consulting firm seeking an experienced Data Scientist to work in a collaborative environment. The role involves identifying business problems, developing machine learning models, and communicating insights to stakeholders while focusing on delivering data-driven solutions for clients.
Responsibilities:
• Work with stakeholders to identify business problems and formulate them as data science challenges.
• Collect, clean, and explore large datasets to uncover trends and patterns.
• Develop and train machine learning models to solve problems such as prediction, classification, and clustering.
• Validate and deploy models into production environments.
• Communicate findings and insights to technical and non-technical audiences through data visualization and presentations.
• Stay up to date with the latest trends and technologies in data science and machine learning.
• Ability to work independently and collaborate as part of a team
• Effective written and verbal communication skills
• Meticulous attention to detail and quality of work product
• Ability to build and sustain professional relationships
• Ability to lead projects or workstreams
• Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
• Strong interpersonal skills and professional demeanor
• Ability to meet deadlines
• Ability to provide clear guidance to others
• Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management
• Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operational outcomes
Qualifications:
Required:
• Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
• 5+ Years of Experience in a Data Science or Machine Learning role.
• 5+ Years of Experience Proficiency in programming languages such as Python or R.
• 5+ Years of Experience with Strong knowledge of machine learning techniques and algorithms.
• 5+ Years of Experience with data manipulation and analysis libraries like pandas and NumPy
• Limited immigration sponsorship may be available
• Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
Preferred:
• Master's or Ph.D. in a relevant field.
• Experience with big data technologies like Spark or Hadoop.
• Experience with deep learning frameworks like TensorFlow or PyTorch.
• Familiarity with cloud platforms such as AWS, Azure, or GCP.
• Experience with data visualization tools like Tableau or Power BI.
• Analytical/ Decision Making Responsibilities
• Analytical ability to manage multiple projects and prioritize tasks into manageable work products
• Can operate independently or with minimum supervision
• Excellent Written and Communication Skills
• Ability to deliver technical demonstrations
Company:
Deloitte is a business consulting company that offers audit, consulting, financial advisory, and tax services. Founded in 1845, the company is headquartered in London, GBR, with a team of 10001+ employees. The company is currently Late Stage.

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