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Python Data Scientist Jobs in Michigan (NOW HIRING)

To implement quantitative and predictive models, data science experiments using literate programming techniques such as Python Jupyter Notebooks, develop appropriate visualizations of data, curate ...

Data Scientist

Okemos, MI ยท On-site

$110 - $140/hr

To implement quantitative and predictive models, data science experiments using literate programming techniques such as Python Jupyter Notebooks, develop appropriate visualizations of data, curate ...

To implement quantitative and predictive models, data science experiments using literate programming techniques such as Python Jupyter Notebooks, develop appropriate visualizations of data, curate ...

Data Scientist Help Build the Data Behind What's Next ArtiFlex is building a proprietary data ... You have experience with Python and a solid foundation in supervised and unsupervised machine ...

New

The Senior Data Scientist will design and implement advanced systems that support cross-domain ... Developing and maintaining Python-based optimization models to support demand elasticity ...

Data scientists work closely with data engineers, analysts, and business teams to design analytics ... Proficiency in Python and SQL * Hands-on experience with big data and cloud platforms such as ...

Data Scientist

Ann Arbor, MI ยท On-site +1

Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside ... Data Scientist: 2 or more years of data science/predictive analytics experience in (re)insurance or ...

Data Scientist

Plymouth, MI ยท On-site

$90 - $130/hr

Data Scientist Department: Finance Accountability: This Position Reports to the Senior Manager ... Python/R, LLM, and related technologies. * Build, maintain, and optimize ETL/ELT pipelines that ...

Data scientists work closely with data engineers, analysts, and business teams to design analytics ... Proficiency in Python and SQL * Hands-on experience with big data and cloud platforms such as ...

Master's degree in Statistics, Data Science, Econometrics, Engineering, Physics, or related ... Python for data manipulation, analysis, and model development * 3+ years of experience in ...

Data Scientist

Detroit, MI ยท On-site

$120 - $170/hr

Data Scientist Role Summary OneMagnify's Data Scientists sit at the intersection of client strategy ... Advanced SQL and Python; strong ability to query, manipulate, and interpret data from databases and ...

Data Scientists come from a range of different backgrounds and work on specific "sprints" typically ... python and Database languages such as SQL Even better, you may have... * MBA or PhD degree in ...

Data Scientist Role Summary OneMagnify's Data Scientists sit at the intersection of client strategy ... Advanced SQL and Python; strong ability to query, manipulate, and interpret data from databases and ...

Data Scientist Role Summary OneMagnify's Data Scientists sit at the intersection of client strategy ... Advanced SQL and Python; strong ability to query, manipulate, and interpret data from databases and ...

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 ...

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Python Data Scientist information

See Michigan salary details

$32.7K

$107K

$171.3K

How much do python data scientist jobs pay per year?

As of Aug 18, 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.

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.

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 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 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.

How much do Python data scientists make?

Python data scientists typically earn between $80,000 and $130,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and big data can command higher salaries, often exceeding $150,000. Compensation may also include bonuses and stock options in some companies.

Is Python good for data science?

Python is widely used by data scientists due to its simplicity, extensive libraries like Pandas, NumPy, and scikit-learn, and strong community support. It enables efficient data analysis, modeling, and visualization, making it a preferred programming language in the data science field.

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:

Infographic showing various Python Data Scientist job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 13% Part Time, 2% Temporary, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $106,978 per year, or $51.4 per hour.

Full-time

Medical, Dental

Re-posted 27 days ago


Job description

Job Title:

Data Scientist

Number of Positions:

1

Location:

Okemos, MI

Location Specifics:

Hybrid Position

Job Summary:

At Delta Dental of Michigan, Ohio, and Indiana we work to improve oral health through benefit plans, advocacy and community support, and we amplify this mission by investing in initiatives that build healthy, smart, vibrant communities. We are one of the largest dental plan administrators in the country, and are part of the Delta Dental Plans Association, which operates two of the largest dental networks in the nation.


At Delta Dental, we celebrate our All In culture. It's a mindset, feeling and attitude we wrap around all that we do - from taking charge of our careers, to helping colleagues and lending a hand in the community.

Position Description:

To implement quantitative and predictive models, data science experiments using literate programming techniques such as Python Jupyter Notebooks, develop appropriate visualizations of data, curate and prepare data using appropriate programmatic and non-programmatic data transformation techniques, continuously learn new techniques and methods to improve data science outcomes.

Primary Job Responsibilities:

  • Develops and implements advanced statistical models using casual modelling, machine learning and optimization techniques.
  • Leads the team incorporating new Data Science techniques to enhance the organization's best practices.
  • Applies machine learning algorithms and predictive models to solve complex business challenges.
  • Designs and conducts data-driven experiments to validate findings and hypotheses.
  • Communicates insights and results to senior stakeholders and decision-makers.
  • Develops innovative approaches to data collection and validation, incorporating both structured and unstructured data sources.

Perform other related assigned duties as necessary to complete the Primary Job Responsibilities as described above.

#LI-Hybrid

Minimum Requirements:

Position requires a bachelor's degree in Computer Science, Mathematics, Statistics, or other quantitative field with a master's degree in Data Science, Business Analytics, Health Informatics, or related field preferred, and three years of experience working extensively with data. Knowledge of health or dental insurance, or of dental clinical practice preferred.

Position requires experience in statistical modeling methods, machine learning algorithms, supervised and unsupervised learning, and data mining techniques; proficiency with statistical software packages like SAS, R, or equivalent preferred; experience with programming languages, especially Python and SQL, or equivalent;
excellent communication skills and the ability to clearly and concisely communicate complex information to a variety of audiences, both technical and non-technical; the ability to collaborate in a team.

The company will provide equal employment and advancement opportunity within the context of its unique business environment without regard to race, color, religion, gender, gender identity, gender expression, age, national origin, familial status, citizenship, genetic information, disability, sex, sexual orientation, marital status, pregnancy, height, weight, military status, or any other status protected under federal, state, or local law or ordinance.