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Python Data Science Jobs in Minneapolis, MN (NOW HIRING)

Data Science Tutor

Edina, MN · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

Data Science Tutor

Saint Paul, MN · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

Data Science Tutor

Minneapolis, MN · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

Data Science Manager Unilever is one of the world's leading suppliers of Food, Home, and Personal ... Advanced proficiency in Python, Spark, and modern analytics stacks; hands-on experience with ...

New

... in R, Python, or other scripting languages. They are comfortable working with APIs, web scraping ... As Manager of Data Science, you will have to following responsibilities: Leadership * Provide ...

... in R, Python, or other scripting languages. They are comfortable working with APIs, web scraping ... As Manager of Data Science, you will have to following responsibilities: Leadership * Provide day ...

Python Tutor

Saint Paul, MN · Remote

$18 - $40/hr

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

Python Tutor

Edina, MN · Remote

$18 - $40/hr

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

Python Tutor

Minneapolis, MN · Remote

$18 - $40/hr

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

... science skills in Python and SQL working with structured data and machine-learning frameworks; version-controlled code development and deployment Ability to transform messy, real-world healthcare ...

Data Scientist

Saint Paul, MN · On-site

$105K - $126K/yr

Proficiency in Python and its data science libraries (Pandas, NumPy, Scikit-learn, etc.). * Strong background in statistical analysis, forecasting techniques, and anomaly detection * Experience with ...

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Python Data Science information

See Minneapolis, MN salary details

$13

$61

$90

How much do python data science jobs pay per hour?

As of Jul 1, 2026, the average hourly pay for python data science in Minneapolis, MN is $61.19, according to ZipRecruiter salary data. Most workers in this role earn between $50.43 and $69.52 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Python Data Science position, and why are they important?

To thrive in Python Data Science, you need strong programming skills in Python, a solid understanding of statistics, data manipulation, and experience with data analytics or machine learning, often supported by a bachelor’s or master’s degree in a quantitative field. Familiarity with tools such as pandas, NumPy, scikit-learn, Jupyter Notebooks, and knowledge of SQL are typically essential; certifications like Google Data Analytics or IBM Data Science can be advantageous. Critical thinking, problem-solving, and effective communication are key soft skills for translating data insights into actionable business recommendations. These skills are crucial to efficiently analyze large datasets, build predictive models, and deliver meaningful insights that drive decision-making.

How much does a Python data scientist make?

A Python data scientist's salary typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Professionals with strong skills in machine learning, statistical analysis, and data visualization tools like Pandas and TensorFlow tend to earn higher salaries.

What are typical day-to-day responsibilities in a Python Data Science role?

In a Python Data Science role, your typical day might involve collecting, cleaning, and preparing raw data, exploring datasets to uncover patterns and trends, and building or evaluating predictive models. You’ll regularly use Python libraries to conduct analyses, visualize results, and collaborate with cross-functional teams such as product managers or engineers to define business objectives. Presenting your findings in clear, actionable formats for both technical and non-technical stakeholders is also a key part of the job. This dynamic environment emphasizes continuous learning, problem-solving, and close communication with other departments to align analytical insights with organizational goals.

Is Python useful in data science?

Python is a fundamental tool for data scientists, including those in data science roles, due to its extensive libraries such as Pandas, NumPy, and scikit-learn that facilitate data analysis, visualization, and machine learning. Its simplicity and versatility make it a preferred programming language in the data science field, often complemented by knowledge of SQL and data visualization tools.

What is a Python Data Science job?

A Python Data Science job involves using Python to analyze, process, and visualize data to extract insights and inform decision-making. It typically includes working with libraries like Pandas, NumPy, and Scikit-learn for data manipulation, statistical analysis, and machine learning. Professionals in this role may clean and preprocess data, build models, and communicate findings through reports or visualizations. Python Data Scientists often work in industries like finance, healthcare, and technology to solve complex problems and optimize business strategies.

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist; many professionals transition into data science at various ages. Success depends on acquiring relevant skills such as programming in Python, understanding statistics, and working with tools like Jupyter notebooks, regardless of age.

Is Python a high paying job?

Python Data Science roles are generally well-paid due to high demand for skills in data analysis, machine learning, and automation. Salaries vary based on experience, location, and industry, but professionals with Python expertise often earn above average wages in the tech sector.
What are popular job titles related to Python Data Science jobs in Minneapolis, MN? For Python Data Science jobs in Minneapolis, MN, the most frequently searched job titles are:
What job categories do people searching Python Data Science jobs in Minneapolis, MN look for? The top searched job categories for Python Data Science jobs in Minneapolis, MN are:
Infographic showing various Python Data Science job openings in Minneapolis, MN as of June 2026, with employment types broken down into 3% As Needed, 52% Full Time, 41% Part Time, 2% Contract, and 2% Nights. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $127,273 per year, or $61.2 per hour.

Data Science

Cloud think technologies LLC

Minneapolis, MN • On-site

Contractor

Posted 29 days ago


Job description

Data Science: We are interested in individuals who are adept at tackling undefined business problems using both traditional machine learning approaches and the latest generative AI techniques. Ideal candidates should have robust analytical skills and be proficient in Python coding. Moreover, they should be capable of working both independently and collaboratively with the rest of the team. Additionally, experience in document processing with various forms is highly preferred. Effective communication skills are also essential for this role.

AI Engineering:

Primary Responsibilities:

o Design and implement the systems to power modern web applications that enables users to derive information from patient data in a scalable, reliable, and cost-effective manner

o Ensure the delivery of high-quality, maintainable, and efficient code

o Be an advocate for product quality, including agile SCRUM methodologies, unit tests, code reviews and engineering specifications.

Required Qualifications

• BS Degree in Computer Science or equivalent

• 6+ years of hands-on software engineering design and programming experience

• Hands on experience in delivering at least two modern web applications, from design to implementation, test and release.

• Master the fundamentals of technologies such as HTTP protocols, REST API, Security Fundamentals: Encryption, Hashing, Web Security Development, Authentication and Authorization

• 3+ years hands on experience with Python programming

• Basic understanding of front-end development with React

• Understand performance issues and how to optimize database queries and caching methodologies

• Ability to debug complex software and system issues

• Improve team engineering excellence by leading clear documentation, troubleshooting, logging and applying engineering best practices.

• Quality mindset with unit and integration tests

• Extensive experience in Agile and Scrum. You know how to work within teams against a backlog, and how to enable true CI/CD. You understand the role of a Software Engineer in an Agile environment – where clarifying the solution approach, possessing deep understanding of product requirements and always watching for edge cases are paramount

• Knowledge spans the full stack, from deployment ops and database technologies through to front-end frameworks. Ideally, you have a deep understanding of both OOP and Functional stacks, Relational and NoSQL Data Stores, Streaming Applications and system development/maintenance in accloud platform such as AWS, gcp or Azure. (AWS a bonus!)

Nice-to-have Skills:

• Familiarity with OpenAPI / Swagger specifications

• Deployment experience: GitHub actions, Terraform, Docker, etc.

• AWS experience such as RDS, ALB, Redis Cache, Secret Manager, EC2, IAM