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Python Data Scientist Jobs in Michigan (NOW HIRING)

Rock Connections

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 ...

Advantasure, Inc.

Data Scientist

Detroit, MI · On-site

Bachelor's degree in Business, Data Science, Statistics, Economics, Engineering, Computer Science ... R, Python, C, Java, Ruby, etc.) and visualization tools (i.e. QlikView, Tableau, Web FOCUS, etc.

Sprinklr

Senior Data Scientist

Three Rivers, MI · On-site

The Sr. Data Scientist wilil play an important role in this strategic initiative. This person will ... Advanced experience with Python, R, SQL, and any other related programs for executing the above ...

Ford Motor Company

Senior Data Scientist

Dearborn, MI · On-site

As a Senior Data Scientist, DCC, you will use your knowledge of data and advanced analytics to ... Python, SQL, mathematical programming, machine learning, artificial intelligence, optimization ...

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How much do python data scientist jobs pay per year?

As of May 28, 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 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 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 data science dead in 10 years?

As a Python Data Scientist, the field of data science is expected to evolve rather than become obsolete in 10 years. Advances in automation, machine learning tools, and increased data availability will likely shift the focus toward more specialized skills, but data science roles will continue to be essential for interpreting data and developing insights. Staying current with programming languages like Python and tools such as TensorFlow or scikit-learn will remain important for job relevance.

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.

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
Data Scientist

Data Scientist

Rock Connections

Detroit, MI • On-site

Full-time

Posted 14 days ago

Job description

As the Data Scientist, you'll be responsible for performing exploratory data analysis, feature engineering and predictive modeling to provide actionable insights and strategic direction for business leaders. The Data Scientist delves into the recesses of large data sets of structured, semi-structured and unstructured data to discover hidden knowledge about our business and to develop methods to leverage that knowledge within our line of business.

About the role

  • Analyze, manipulate and process large sets of data

  • Develop predictive/machine learning models from large sets of structured and unstructured data

  • Identify methods that allow continuous and automated statistical testing to enhance the predictability of deployed models

  • Apply feature selection algorithms to models predicting outcomes of interest

  • Apply sampling techniques to determine groups to be surveyed

  • Compare models using statistical performance metrics, such as loss functions or proportion of explained variance

  • Create graphs, charts or other visualizations to convey the results of data analysis

  • Deliver oral or written presentations of the results of mathematical modeling and data analysis to stakeholders

  • Identify business problems or leader objectives that can be addressed through data analysis

  • Identify relationships and trends or any factors that could affect the results of research

  • Identify and propose solutions to business problems using the results of data analysis

  • Test, validate and reformulate models to ensure accurate prediction of outcomes of interest

  • Write new functions or applications to conduct analyses

  • Partner with machine learning engineers on the deployment of applicable models for business projects

  • Communicate analyses, conclusions and solutions clearly to all audiences

  • Sequence the steps involved to deliver a working model, estimate the timelines for the completion of work and communicate this information to the project manager

  • Advise project teams on application improvements that will result in enhanced predictive and prescriptive models

  • Develop and evangelize best practices for statistical or behavioral models

  • Drive the collection of new data and the refinement of existing data sources

  • Collaborate with the engineering and product teams to develop and support our internal data platform to support ongoing analyses

  • Mentor and train associate data scientists

About you

  • 3 years of experience working with large data sets in one or more of the following environments - Hadoop, AWS, Azure or GCP

  • 3 years of experience with statistical and data mining tools and methods

  • 3 years of experience with supervised models (e.g., regression, neural networks) and unsupervised techniques (clustering, PCA, SVMs)

  • 3 years of experience working with SQL

  • 3 years of experience in Python and at least one strongly typed language (e.g., C++, Java, etc.)

  • 3 years of experience with statistical packages

  • 3 years of experience providing predictive and prescriptive analytics in a business setting

  • Master's degree in mathematics, statistics, computer science or a related field or equivalent experience

  • Advanced understanding of data visualization libraries

  • Advanced understanding of statistical methodologies for modeling and business analytics

What you'll get

Our team members fuel our strategy, innovation and growth, so we ensure the health and well-being of not just you, but your family, too! We go above and beyond to give you the support you need on an individual level and offer all sorts of ways to help you live your best life. We are proud to offer eligible team members perks and health benefits that will help you have peace of mind. Simply put: We've got your back. Check out our full list of Benefits and Perks.

About us

Rocket is a Detroit-based company made up of businesses that provide simple, fast and trusted digital solutions for complex transactions. The name comes from our flagship business, now known as Rocket Mortgage, which was founded in 1985. Today, we're a publicly traded company involved in many different industries, including mortgages, fintech, real estate and more. We're insistently different in how we look at the world and are committed to an inclusive workplace where every voice is heard. Apply today to join a team that offers career growth, amazing benefits and the chance to work with leading industry professionals.

This job description is an outline of the primary responsibilities of this position and may be modified at the discretion of the company at any time. Decisions related to employment are not based on race, color, religion, national origin, sex, physical or mental disability, sexual orientation, gender identity or expression, age, military or veteran status or any other characteristic protected by state or federal law. The company provides reasonable accommodations to qualified individuals with disabilities in accordance with applicable state and federal laws. Applicants requiring reasonable accommodations in completing the application and/or participating in the application process should contact a member of the Human Resources team, at Careers@Rocket.com.

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