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Python Data Scientist Jobs in Detroit, MI (NOW HIRING)

Job Title: Data Scientist Job Location: Detroit, MI (Hybrid) Job Type: Contract * Develop and ... Proficiency in Python. * Experience with cloud platforms (AWS preferred) and Big Data technologies.

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 ...

As a Data Scientist, you will play a critical role in leveraging data science to drive significant ... Advanced proficiency in Python libraries such as Scikit-learn, NumPy, Pandas, Matplotlib ...

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 ...

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 ...

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 ...

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

See Detroit, MI salary details

$37.1K

$121.5K

$194.5K

How much do python data scientist jobs pay per year?

As of Jul 28, 2026, the average yearly pay for python data scientist in Detroit, MI is $121,507.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,500.00 and $134,600.00 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 Detroit, MI? For Python Data Scientist jobs in Detroit, MI, the most frequently searched job titles are:
Infographic showing various Python Data Scientist job openings in Detroit, MI as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $112,305 per year, or $54 per hour.
Data Scientist

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Job Title: Data Scientist
Job Location: Detroit, MI (Hybrid)
Job Type: Contract

Job Description:
  • Develop and deploy Machine Learning and AI models.
  • Analyze large datasets and generate business insights.
  • Build NLP solutions and advanced analytics models.
  • Work with cross-functional teams to solve business challenges.
  • Present findings and recommendations to stakeholders.

Requirement:
  • Strong experience with Machine Learning, Deep Learning, and NLP.
  • Proficiency in Python.
  • Experience with cloud platforms (AWS preferred) and Big Data technologies.
  • Experience with Databricks is a plus.
  • Strong software development and coding best practices.
  • Excellent communication and presentation skills.
  • Minimum 2+ years of relevant Data Science experience.
  • Bachelor's degree in Data Science, Computer Science, Machine Learning, Statistics, Mathematics, Engineering, or a related field.
  • Master's degree preferred.

Preferred Skills
  • Experience building AI solutions using LLMs and transformer-based models.
  • Ability to convert business requirements into analytical solutions.
  • Experience with Streamlit for rapid prototyping and demos.
  • Healthcare industry experience is a plus.

Interested candidates can send their updated resumes at chandra.jana@agile-techlabs.com