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Python Data Scientist Jobs in Michigan (NOW HIRING)

Meijer Companies Ltd

Data Scientist II

Grand Rapids, MI · On-site

The Data Scientist Level 2 role would take on more advanced analytical responsibilities, including ... Python, Databricks, Azure ML, Azure Cognitive Service, SAS, R, SQL, PySpark, Numpy, Pandas, Scikit ...

Meijer, Inc.

Data Scientist II

Grand Rapids, MI · On-site

The Data Scientist Level 2 role would take on more advanced analytical responsibilities, including ... Python, Databricks, Azure ML, Azure Cognitive Service, SAS, R, SQL, PySpark, Numpy, Pandas, Scikit ...

Auto-Owners Insurance

Data Scientist

Lansing, MI · On-site

Experience with common data science toolkits, such as R, Python, TensorFlow, SQL, Scikit-learn, Keras, etc. * Aptitude and willingness to learn new things and teach others * Strong written and oral ...

Denso

Data Scientist 2

Southfield, MI · On-site

$90K - $113K/yr

Proficiency in Python and SQL; experience with R or Java a plus. * Experience working with large-scale datasets, databases, and distributed data processing environments. * Hands-on experience with ...

Ford Motor Company

Data Scientist

Dearborn, MI · On-site +1

$107K - $182K/yr

Utilize Python, SQL, and machine learning, alongside experience with cloud platforms, including ... Data Scientist - positions offered by Ford Motor Company (Dearborn, Michigan). Note, this is a ...

Denso

Data Scientist 2

Southfield, MI · On-site

$90K - $113K/yr

Proficiency in Python and SQL; experience with R or Java a plus. * Experience working with large-scale datasets, databases, and distributed data processing environments. * Hands-on experience with ...

Rocket Limited Partnership

Data Scientist

Detroit, MI · On-site

As the Data Scientist, you'll be responsible for performing exploratory data analysis, feature ... Python and at least one strongly typed language (e.g., C++, Java, etc.) * 3 years of experience ...

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Python Data Scientist information

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$32.7K

$107K

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How much do python data scientist jobs pay per year?

As of Jul 8, 2026, the average yearly pay for python data scientist in Michigan is $106,978.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,900.00 and $118,500.00 per year, depending on experience, location, and employer.

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 advanced skills in machine learning, statistical analysis, and proficiency in tools like Pandas and TensorFlow tend to earn higher salaries.

Is Python useful in data science?

Python is a fundamental tool for data scientists, including those in the Python Data Scientist role, 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 industry, often complemented by knowledge of SQL and data management skills.

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.

Is Python in high demand?

Python Data Scientists are in high demand across industries such as technology, finance, and healthcare due to Python's versatility and extensive libraries for data analysis, machine learning, and automation. Proficiency in Python, along with skills in data manipulation and visualization tools like Pandas and Matplotlib, can improve job prospects as organizations increasingly rely on data-driven decision making.

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 40 too late for data science?

Age is not a barrier to becoming a Python Data Scientist. Many professionals transition into data science later in their careers by acquiring relevant skills such as Python, machine learning, and data analysis, often through online courses or certifications. Success depends on your ability to learn, adapt, and build a strong portfolio of projects regardless of age.

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 popular job titles related to Python Data Scientist jobs in Michigan? For Python Data Scientist jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Python Data Scientist jobs in Michigan look for? The top searched job categories for Python Data Scientist jobs in Michigan are:
What cities in Michigan are hiring for Python Data Scientist jobs? Cities in Michigan with the most Python Data Scientist job openings:
Python Data Scientist jobs near you
Infographic showing various Python Data Scientist job openings in Michigan as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $106,978 per year, or $51.4 per hour.

Senior Data Scientist

Urban Science Applications, Inc.

Detroit, MI • On-site

Other

Posted 18 days ago

Job description

Overview and Summary
We are Automotive Business Scientists. We empower our clients to turn overwhelming industry data into discovery, action and measured success. We are unique market leaders because we find and examine possibilities through the clarity of a scientific lens. To solve the toughest client challenges, we need curious, creative and dedicated people to join our team.
We search out individuals who align with our core values and who adhere to the highest standards of integrity and ethics in everything they do. Our company is filled with the brightest minds and the biggest hearts at every level. We recognize that personal success takes on many different forms of the course of our lives - both professional and personally - so we provide a myriad of benefits and programs focused on Wellbeing, Growth, Community and Recognition. One size does not fit all, so we encourage every Urban Scientist to discover their own formula for success. If this sounds like the kind of company you would like to work with, Apply Now!
POSITION OVERVIEW: The Senior Data Scientist plays a critical leadership role in transforming raw data into actionable insights that drive strategic decisions. This role requires the integration of advanced analytics, machine learning, and statistical modeling to support product development, client solutions, and internal operations. The Advanced Analytics Senior Data Scientist has responsibility to build and maintain advanced analytical AI, machine learning and forecasting pipelines. Essential duties also include data extraction, preparation and visualization. Additionally, the Senior Data Scientist is responsible for the production of scheduled and ad-hoc quality reports and validation of model performance and accuracy. The Advanced Analytics Senior Data Scientist is the lead liaison with clients that use or integrate the output of AI, machine learning and forecasted data pipelines or studies.
This role has current Hybrid Workplace flexibility local to our Detroit, MI office location. Candidate must be available and willing to work in-person approximately twice per week (currently Tuesdays and Wednesdays).
URBAN SCIENCE DOES NOT AND WILL NOT PROVIDE IMMIGRATION RELATED SPONSORSHIP FOR THIS ROLE, NOW OR IN THE FUTURE.
Essential Duties and Responsibilities
  • Support the development of embedded advanced analytics into Urban Science solutions using Azure AI/ML, SQL, Python and/or SAS.
  • Responsible for building and maintaining advanced analytical models, including supervised machine learning models, predictive models, and time-series models.
  • Tracks, processes, analyzes and verifies data in order to improve accuracy and quality.
  • Creates presentation materials that showcase research findings and results; Presents results to internal clients.
  • Works with the Learning team to analyze, develop, and maintain appropriate training and certification materials for internal employees.
  • Develops complex machine learning models and updates existing models to validate effectiveness for various clients using techniques such as regression, decision trees, random forests, artificial neural nets, survival analysis, and/or time series.
  • Collects, imports, and organizes relevant data within AI & machine learning software such as Azure, Fabric, SAS and/or Python to support modeling development and maintenance.
  • Collaborates with internal clients to collect requirements and specifications in order to build complex machine learning analyses that are embedded into corporate software and processes.
  • Uses SQL server to extract, process and prepare data for machine learning modeling.
  • Attends project meetings and participates in presenting project status updates, conclusions and results.
  • Adheres to quality control standards for Urban Science and client organizations. Designs, develops, and maintains quality assurance (QA) reports of machine learning processes using tools such as SAS, MS Excel, Tableau, and/or MS Power BI.
  • Coordinates with individuals or teams to complete analyses, tasks and projects on time and with high quality. Responsible for creating estimates and proposals for projects and budgeting purposes.
  • Effectively responds to client inquiries/requests in a timely manner to help improve client satisfaction.
  • Proactively communicates with management to provide updates and report issues in a timely manner.
  • Actively supports and participates in training programs to achieve targeted development objectives. May have responsibility to train / mentor other Associates in processes, procedures and methodologies.
  • Works with manager in completing own annual goal setting and performance review in a timely manner.
  • Plans, organizes, develops and delivers client requested reports and deliverables on time, adhering to client requested specifications.
  • Works with manager to prioritize other duties as assigned. Maintain personal task list using tools such as AzureDevOps for project and task management.
  • Partners with the Practice organization to invent new advanced analytical methodologies and manages the integration of new methodologies into Practice solutions.
  • Provides guidance and oversight for advanced analytics projects and analyses that occur on account teams teams globally, including defining scope, cost estimates, schedules, and selection of appropriate analytical methods.
  • Consults with local account teams and engages with external clients, to provide appropriate analytical methodologies that will meet client needs and requirements, including reviewing SOWs and providing sales materials.
  • Researches, evaluates and develops new potential AI/ML/forecasting/statistical methodologies, processes and procedures for application.

Qualifications - Education and Experience
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
  • Verbal Communication: Requires the ability to compose and verbally deliver information of varying levels, using appropriate grammar, tone, inflection and non-verbal cues, while also listening to and correctly deciphering verbal communication delivered by others.
  • Written Communication: Requires the ability and capacity to communicate ideas, facts and data in writing using appropriate grammar, syntax and sentence structure.
  • Analytical Thinking: Requires the ability to understand a situation by breaking it apart into smaller pieces, and/or tracing the implications of a situation in a step-by-step causal way.
  • Conceptual Thinking: Requires the ability to understand a situation or problem by putting the different pieces together to see the bigger picture.
  • Information Seeking: Requires the drive to gain a deeper understanding of work related issues or events by making a concerted effort to gather information and seek out development opportunities.
  • Flexibility/Adaptability: Requires the ability to adapt to and work effectively within a variety of situations, individuals or groups, as well as understand and appreciate different and opposing perspectives.
  • Results Oriented: Requires the ability to strive for optimal results by taking responsibility for timeliness, commitment to task and adherence to performance standards.
  • Initiative: Requires the drive to go above and beyond in order to improve or enhance job results.
  • Self-Confidence: Requires the ability to express confidence in dealing with challenging circumstances, in reaching decisions or forming opinions and in handling failures or set-backs constructively.
  • Organizational Commitment: Requires the ability and willingness to align his/her own behavior with the needs, priorities and goals of the organization.
  • Ethics & Integrity: Requires the ability to behave in a trustworthy & transparent manner.
  • Teamwork & Cooperation: Requires the ability to work cooperatively with others and be part of a team.
  • Team Leadership: Requires the ability to effectively take a role as leader of a team with a desire to help the group achieve business related outcomes.
  • Self-Control: Requires the ability to keep emotions under control and to restrain from negative actions or behaviors.
  • Quality Control: Requires the ability to monitor and check one's own work and the work of others, having responsibility over deliverables ensuring high quality and accuracy
  • Customer Service Oriented: Requires the ability to follow up on a client inquiry, request or complaint by taking routine or required action and will keep the client up to date on progress of tasks/projects/requests.
  • Interpersonal Understanding: Requires the ability to understand other's feelings and concerns, and to value individual differences in people.
  • Relationship Building: Requires the ability to effectively build and maintain friendly, warm relationships or networks of contacts with clients/customers.
  • Assertiveness: Requires the ability and intent to appropriately display assertive behaviors to ensure others follow given directions.
  • Developing & Coaching: Requires the ability, desire and intent to teach and foster the development and long term capability of one or more employees by providing coaching, direction and feedback to enhance performance.
  • Strategic Influence: Requires the ability to effectively persuade, convince, and influence others in order to gain support to achieve work related goals/objectives.
  • Organization & Time Management: Requires advanced capability to prioritize competing demands, manage multiple concurrent tasks and effectively manage meeting agendas.
  • Project Management: Requires strong knowledge of project management principles and fundamentals including the ability to estimate work efforts, define work plans, delegate work, monitor progress and report schedule variances and scope changes.
  • Math & Statistics: Requires extensive knowledge of a statistical modeling language (SAS, R, or Python); requires formal education/training in advanced analytical modeling techniques, mathematics, statistics, or econometrics. Requires knowledge of machine learning techniques such as time-series forecasting, clustering, regression, decision trees, GLMs, neural networks, survival analysis.
  • MS Office: Requires advanced knowledge of MS Excel for charting and graphing of data, writing formulas, utilizing functions, and filtering, sorting and formatting of data; intermediate knowledge of MS Word, and PowerPoint is required.
  • Database: Requires advanced knowledge of relational database concepts, including diagnostics and resolution of database errors, gathering and manipulating data manually; knowledge and experience with SQL is required.
  • Technical/Software: Requires advanced proficiency in SAS or Python; Experience building ML pipelines is preferred. Experience with ML Ops packages (e.g. scikit-learn) strongly preferred.
  • Sales & Business Development: Ability to identify potential new opportunities from the client and proactively communicate those opportunities to management is required; knowledge and understanding of sales and business development processes is strongly preferred.
  • Budgeting/Finance: Requires basic knowledge of budgeting philosophy and principles; requires ability to provide labor cost estimates for budgeting purposes.
  • Negotiation: Knowledge and understanding of pricing, scope, cost estimates and internal/external impacts is strongly preferred

EDUCATION AND EXPERIENCE
  • University degree in an appropriate technical or analytical field required (i.e., computer science, engineering, applied mathematics, statistics, econometrics, analytics, etc.) from an accredited college or university, or equivalent foreign institution; Masters degree in a related field preferred
  • Requires 5+ years experience building and implementing advanced analytical techniques (machine learning, artificial intelligence, forecasting, econometrics and/or statistical modeling)
  • Requires experience implementing models in complex industry applications
  • Requires working knowledge of API integration and/or model deployment workflows
  • Strong proficiency with AI, machine learning or statistical modeling using Azure AI/ML, SAS and/or Python required
  • Proficiency with SQL required
  • Requires experience with machine learning frameworks (e.g., scikit-learn, TensorFlow)
  • Proficiency in data visualization tools preferred (Tableau, PowerBI, Fabric, or similar)
  • Experience in developing and deploying time series forecasting models, including ARIMA, Exponential Smoothing, UCM, State Space, and other advanced forecasting methodologies preferred
  • Experience developing ML Ops pipelines using Azure AI cloud computing & LLMs preferred
  • Experience with geographic analysis or GIS preferred
  • Experience with Azure DevOps and Agile development concepts preferred

CERTIFICATES, LICENSES, REGISTRATIONS:
  • Network Apprentice certification preferred (for internal applicants)

WORK ENVIRONMENT
The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
This description is intended to describe the type and level of work being performed by a person assigned to this position. It is NOT an exhaustive list of all duties and responsibilities required

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