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

Epitec

Data Scientist

Southfield, MI · On-site

$128K/yr

Data Scientist (Job Code: 1392) Duties : Responsible for the exploration, aggregation ... in Python, ensuring seamless integration with diverse data ecosystems while adhering to best ...

Agile Tech Labs

Data Scientist

Detroit, MI · On-site

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.

Ford Motor Company

Data Scientist

Dearborn, MI · Remote

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 ...

Ford Motor Company

Data Scientist

Dearborn, MI · On-site +1

$66K - $186K/yr

... Python or R for data analysis and model development. 2. Communicating complex statistical and ... Data Scientist - positions offered by Ford Motor Company (Dearborn, Michigan). Note, this is a ...

Stellantis

Data Scientist

Auburn Hills, MI · On-site

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 ...

Ford Motor Company

Data Scientist

Dearborn, MI · On-site

$66K - $186K/yr

Data Scientist - positions offered by Ford Motor Company (Dearborn, Michigan). Note, this is a ... Python or R for data analysis and model development. 2. Communicating complex statistical and ...

Urban Science

Senior Data Scientist

Detroit, MI

The Senior Data Scientist plays a critical leadership role in transforming raw data into actionable ... SQL, Python and/or SAS. * Responsible for building and maintaining advanced analytical models ...

Ford Motor Company

Data Scientist

Dearborn, MI · On-site

$128K - $186K/yr

Data Scientist - positions offered by Ford Motor Company (Dearborn, Michigan). Note, this is a ... 1. Python and SQL programming for data extraction, analysis, or integration. 2. Using cloud ...

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$34.3K

$112.3K

$179.8K

How much do python data scientist jobs pay per year?

As of Jul 8, 2026, the average yearly pay for python data scientist in Detroit, MI is $112,305.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,100.00 and $124,400.00 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:
What job categories do people searching Python Data Scientist jobs in Detroit, MI look for? The top searched job categories for Python Data Scientist jobs in Detroit, MI are:
Python Data Scientist jobs near you
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

Data Scientist

Epitec

Southfield, MI • On-site

$128K/yr

Contractor

Posted 27 days ago

Job description

  • Location: Southfield, Michigan
  • Type: Contract
  • Job #104223

Employer: Epitec, Inc.
Position: Data Scientist (Job Code: 1392)
Duties : Responsible for the exploration, aggregation, transformation, and cleansing of vehicle data across a variety of disparate sources and platforms, ensuring data integrity and consistency at scale; design, implement, and continuously optimize advanced predictive machine learning models to drive accurate and actionable business forecasts, leveraging complex datasets; architect, develop, and maintain high-performance APIs in Python, ensuring seamless integration with diverse data ecosystems while adhering to best practices for scalability and security; support efforts to streamline and automate the data pipeline, encompassing data acquisition, feature engineering, model development, and deployment workflows, optimizing for performance, efficiency, and scalability; coordinate and execute complex ad-hoc data analysis tasks, providing rapid, data-driven insights for immediate business needs; provide mission-critical on-call support to ensure the continued operation of business production systems, troubleshooting and resolving issues with minimal impact to operations; utilize and apply knowledge of Python, SQL, Scikit-learn, XGBoost, Prophet, ARIMA, RESTful APIs, GCP, Terraform, Docker, VBA, and ODBC to complete assignments; translate complex analytical findings into clear, actionable insights; utilize cutting-edge Natural Language Processing (NLP) techniques to extract valuable insights from large volumes of unstructured text data, integrating AI-driven solutions to deliver sophisticated data analysis that directly impacts automotive operations and strategic initiatives; apply advanced statistical methodologies including Regression Analysis, Bayesian Inference, and machine learning-based forecasting techniques, to model and predict complex variables like market incentives, inventory management, sales forecasting, and operational performance; provide data-driven insights to optimize production strategies and facilitate high-level decision-making; leverage Cloud Computing platforms (primarily GCP) to architect and scale infrastructure for processing, storing, and analyzing massive automotive datasets; deploy data science solutions that integrate seamlessly with manufacturing and operational environments to drive efficiency, accuracy, and business intelligence; and present models and results to stakeholders, including business executives, to influence strategic decision-making.
Location: Southfield, Michigan and multiple undetermined worksites throughout the US;
Salary: $128,377 per year; Minimum Qualifications: Education: Master's - Data Science, Computer Science, Computer Engineering, Systems Engineering, or in a related field of study (will accept equivalent foreign degree);
Training: None;
Experience: One (1) year in the position above, as a Data Analyst, Data Engineer, as a Data Engineering Specialist, or in a related occupation;
Other Requirements: Experience must include one (1) year use of all the following: Python, SQL, Scikit-learn, XGBoost, Prophet, ARIMA, RESTful APIs, GCP, Terraform, Docker, VBA, and ODBC.
Will also accept any suitable combination of education, training, and/or experience.
Employer Contact: Attn: HR Generalist
Epitec, Inc.
26555 Evergreen, Suite 1700
Southfield, MI 48076
All applicant resumes must reference above job code and be submitted via: 1 st ?Class U.S. Mail to: Savanna Krim, Human Resources Team Lead

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