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Scientist Python Jobs in Minnesota (NOW HIRING)

... 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 ...

Senior AI Scientist

Richfield, MN · On-site

$104K - $186K/yr

Strong skills in SQL and at least 1 programming language (e.g., Python, Julia) Preferred qualifications * Master's degree or Ph.D in a highly quantitative field (Computer Science, Engineering ...

Senior Data Scientist

Saint Paul, MN · On-site

$128K - $153K/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 ...

... Science, Software Engineering, or related field (or equivalent experience). • Demonstrated knowledge and 3+ years of experience developing software in C++ and Python. • Experience with secure ...

Sr Data Scientist

Saint Paul, MN · On-site

$118K - $177K/yr

... Python * Excellent communication & presentation skills, effectively partnering and delivering ... Experience with full lifecycle of data science product development * Demonstrated interconnected ...

... Python * Excellent communication & presentation skills, effectively partnering and delivering ... Experience with full lifecycle of data science product development * Demonstrated interconnected ...

We are currently hiring a Metrology Scientist in our Ramsey, MN location! Salary Range: $90K+ What ... Python or equivalent technical computing experience preferred * Experience with Design of ...

We are currently hiring a Metrology Scientist in our Ramsey, MN location! Salary Range: $90K+ What ... Python or equivalent technical computing experience preferred * Experience with Design of ...

We are currently hiring a Metrology Scientist in our Ramsey, MN location! Salary Range: $90K+ What ... Python or equivalent technical computing experience preferred * Experience with Design of ...

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Showing results 1-20

Scientist Python information

How do Scientist Python roles typically collaborate with other team members during research and development projects?

Scientist Python professionals frequently work in multidisciplinary teams, collaborating closely with data scientists, domain experts, and software engineers. They are often responsible for developing and implementing Python-based models or algorithms, then integrating their work with broader research goals or product pipelines. Regular communication, code reviews, and shared documentation are common practices to ensure alignment and reproducibility. This collaborative environment offers opportunities to learn from peers and contribute to diverse projects, fostering both technical and professional growth.

What does a Scientist Python do?

A Scientist Python, often referred to as a Python Scientist or Data Scientist specializing in Python, uses the Python programming language to analyze data, build predictive models, and solve scientific or business problems. They work with large datasets, apply statistical and machine learning techniques, and create visualizations to interpret results. Their work often involves writing code to clean, manipulate, and analyze data efficiently. Python's extensive libraries, such as Pandas, NumPy, and SciPy, make it a popular choice for scientific computing and data science tasks.

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

To thrive as a Scientist Python, you need strong programming skills in Python, a solid background in scientific methods or data analysis, and typically an advanced degree in a relevant field such as computer science, physics, or biology. Experience with data analysis libraries (e.g., NumPy, pandas, SciPy), machine learning frameworks (e.g., scikit-learn, TensorFlow), and version control systems is commonly required. Critical thinking, effective communication, and problem-solving abilities help distinguish top performers in this role. These skills enable efficient data-driven research, reproducible scientific workflows, and successful collaboration in multidisciplinary environments.

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

AspectScientist PythonData Analyst Python
Required CredentialsBachelor's or Master's in Science, Data Science, or related fields; Python proficiencyBachelor's in Statistics, Data Analysis, or related fields; Python skills
Work EnvironmentResearch labs, R&D departments, tech companiesBusiness intelligence teams, marketing, finance departments
Employer & Industry UsageResearch institutions, tech firms, healthcareCorporate, finance, retail, marketing
Common Search & ComparisonYesYes

Scientist Python and Data Analyst Python roles share similar skills like Python programming and data handling. However, Scientists typically focus on research, experimentation, and developing new models, often working in research-heavy environments. Data Analysts concentrate on interpreting existing data to inform business decisions, working mainly in corporate settings. Both roles require strong analytical skills and Python expertise, but their focus and work environments differ significantly.

What are popular job titles related to Scientist Python jobs in Minnesota? For Scientist Python jobs in Minnesota, the most frequently searched job titles are:
Infographic showing various Scientist Python job openings in Minnesota as of May 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution.
Data Scientist

Data Scientist

Deloitte

Minneapolis, MN • On-site

Other

Posted 11 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services


Job description

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Data Scientist, you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. The Project Talent Model is designed for professionals with specialized skills that align to a current client need. Team members focus on delivering services to clients, without additional expectations related to business development or promotion. Their employment is tied to their role on a project, and they are eligible for a benefits package that is competitive for project delivery-focused professionals.

Recruiting for this role ends on June 30th 2026

Work you'll do/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

The Team 

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.

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

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $105,400-207,800

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. 

Qualifications:

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Data Scientist, you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. The Project Talent Model is designed for professionals with specialized skills that align to a current client need. Team members focus on delivering services to clients, without additional expectations related to business development or promotion. Their employment is tied to their role on a project, and they are eligible for a benefits package that is competitive for project delivery-focused professionals.

Recruiting for this role ends on June 30th 2026

Work you'll do/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

The Team 

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.

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

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $105,400-207,800

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. 

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