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

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 ...

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 ...

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 ...

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 ...

Bachelor's degree in Data Science, Mathematics, Statistics, Industrial Operations Engineering ... Proficient in SQL & Python * Experience with API creation (i.e. functional programming, automated ...

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Python Data Scientist information

See Detroit, MI salary details

$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:
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

Posted 16 days ago


Tata Consultancy Services rating

6.5

Company rating: 6.5 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

158th of 207 rated it services


Job description

Job Summary:
Tata Consultancy Services is seeking a Data Scientist with strong expertise in exploratory data analysis and machine learning techniques. The role involves designing and deploying machine learning models, conducting root cause analysis, and engaging with stakeholders to drive analytics solutions.
Responsibilities:
• Perform EDA to identify trends, patterns, anomalies, and key business drivers in complex datasets
• Conduct RCA to diagnose operational, business, and performance issues using data-driven techniques
• Design, build, and deploy machine learning models for predictive and prescriptive analytics
• Apply statistical modeling, causal analysis, and hypothesis testing to validate insights and outcomes
• Execute feature engineering, model evaluation, and performance tuning to ensure robust solutions
• Design and analyze experiments and A/B tests to measure business impact
• Use Palantir Foundry to integrate, curate, and model structured and unstructured enterprise data
• Implement Retrieval-Augmented Generation (RAG) patterns where applicable
• Troubleshoot data quality, model behavior, and workflow issues
• Work closely with stakeholders in customer-facing and consulting environments
• Clearly articulate analytical logic, assumptions, and limitations to business and technical audiences
• Support adoption and value realization of analytics and AI solutions
• Strong analytical and problem-solving skills
• Excellent communication and stakeholder management capabilities
• Ability to work independently and collaboratively in cross-functional teams
• Structured thinking and outcome-oriented mindset
Qualifications:
Required:
• BACHELOR OF COMPUTER SCIENCE
• 8 - 10 Years of experience
• Strong hands-on experience in Exploratory Data Analysis (EDA) and Root Cause Analysis (RCA)
• Expertise in Machine Learning techniques: classification, regression, clustering, and time-series forecasting
• Proficiency in Python and SQL
• Experience with ML libraries such as Scikit-learn, XGBoost, TensorFlow, or PyTorch
• Solid foundation in statistics, probability, hypothesis testing, and experimental design
• Experience working with large-scale enterprise datasets
• Strong analytical and problem-solving skills
• Excellent communication and stakeholder management capabilities
• Ability to work independently and collaboratively in cross-functional teams
• Structured thinking and outcome-oriented mindset
Company:
Tata Consultancy Services is a business solutions company that specializes on information technology services and consulting. It is a sub-organization of Tata Group. Founded in 1968, the company is headquartered in Mumbai, IND, with a team of 10001+ employees. The company is currently Late Stage.

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Benefits

Hours and flexibility

Workplace

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About Tata Consultancy Services

Sourced by ZipRecruiter

Tata Consultancy Services is an IT services, consulting and business solutions organization that delivers real results to global business, ensuring a level of certainty no other firm can match. TCS offers a consulting-led, integrated portfolio of IT, BPO, infrastructure, engineering, and assurance services. This is delivered through its unique Global Network Delivery Model™, recognized as the benchmark of excellence in software development. TCS delivers a level of certainty that no other firm can match--to our clients and to our employees. Come join us and experience certainty in your career. TCS a global Consulting and IT Services firm that is ranked in the top quartile by industry analysts. Our 2021 fiscal revenues topped $25 B and our market capitalization is over $170+B, yet we have a deep and large history of philanthropy and corporate social responsibility. Now approaching 600K of the best IT professionals and consultants, we are a trusted advisor, guiding our clients' enterprises through growth and transformation journeys - helping them to become agile, intelligent, automated and on the cloud. We are devoted to DEI and are recognized as a top employer and place to work.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Edison, NJ, US