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

Genesis10

Data Engineer II - Hybrid

Richfield, MN · On-site

$55 - $62/hr

You will collaborate closely with Product Management, Ads Engineering, Analytics, and Data Science ... Develop Python data components (operators, hooks, transforms), packaging and CI/CD for deployment ...

Apex Systems

Mid Level Data Scientist

Minneapolis, MN · On-site

Experience with Python. * Demonstrated experience with Agentic AI. * Familiarity with Large Language Models (LLMs), specifically Bedrock foundation models. * Experience in data science modeling.

Pearson

Lead Specialist, Data Scientist

Bloomington, MN · On-site

$165K - $205K/yr

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a ... Python * SQL * Statistical Analysis * Machine Learning * Databricks or similar analytics platforms

New

RELX

Data Scientist

Minneapolis, MN · On-site

Required : • Computer Science, Statistics, Mathematics, or related field • Experience in predictive modeling • Proficiency in SAS, R, Python, and Big Data technologies • Strong communication ...

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All JobsPython Data Science JobsPython Data Science Jobs in Minneapolis, MN

Python Data Science information

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$13

$61

$90

How much do python data science jobs pay per hour?

As of Jul 23, 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:
Python Data Science jobs near you
Infographic showing various Python Data Science job openings in Minneapolis, MN as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $127,275 per year, or $61.2 per hour.

Data Scientist

SD Department of Veterans Affairs

Minneapolis, MN • On-site

$116K/yr

Other

Posted 16 days ago

Job description

The Minneapolis VA Healthcare System (MVAHCS) is seeking a highly skilled and collaborative Data Scientist to support data, informatics, and technical needs across the Minneapolis VA Research and Development (R&D) Service. This individual will pay a key role in research data management, electronic health record (EHR) integration, database development, and informatics for investigators and research staff.
Qualifications:Basic Requirements:
  • United States Citizenship: Non-citizens may only be appointed when it is not possible to recruit qualified citizens in accordance with VA Policy.
Individual Occupational Requirement:
A. Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position. or
B. Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience.
Grade Determinations:
GS-13 Data Scientist - Research
Specialized Experience: 1 year equivalent to at least the next lower grade level (GS-12 Data Scientist).
Specialized Experience is experience that equipped the applicant with the particular knowledge, skills, and abilities to perform successfully the duties of the position, and that is typically in or related to the work of the position to be filled. To be creditable, specialized experience must have been equivalent to at least the next lower grade level in the normal line of progression for the occupation in the organization.
Selective Placement Factor: Skills using tools such as SQL, Python, R, or SAS to manage data from large databases is required.
Selective Placement Factor are defined as a competency/KSAs or special qualification without which a candidate could not perform the duties of a position in a satisfactory manner. Selective factors are applied in addition to minimum qualifications. Applicants who do not meet a selective factor are ineligible for further consideration.
Preferred Experience: 2 years or longer with direct experience in informatics, data analysis, or health information systems. Experience with research data management, EHR systems, or health IT platforms are strongly preferred.
Reference: For more information on this qualification standard, please visit https://www.va.gov/ohrm/QualificationStandards/.
The full performance level of this vacancy is GS-14. The actual grade at which an applicant may be selected for this vacancy is GS-13.
Physical Requirements: The work is primarily sedentary and does not require any special physical effort.Education:If you are basing your qualifications on education (or a combination of education and experience) or if the position requires a college education to qualify, you must submit a copy of your transcripts with your application.
Note: Only education or degrees recognized by the U.S. Department of Education from accredited colleges, universities, schools, or institutions may be used to qualify for Federal employment. You can verify your education here: http://ope.ed.gov/accreditation/. If you are using foreign education to meet qualification requirements, you must send a Certificate of Foreign Equivalency with your transcript in order to receive credit for that education. For further information, visit: https://sites.ed.gov/international/recognition-of-foreign-qualifications/.Employment Type: OTHER

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