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Scientist Python Jobs in Novi, MI (NOW HIRING)

Stellantis

Data & AI SCIENTIST

Auburn Hills, MI · On-site

Be a specialist on specific data science fields (e.g. NLP, Computer Vision, Time Series) Basic ... Strong programming skills in Python and SQL * Knowledge of advanced statistical techniques and ...

Faurecia

Data Scientist

Auburn Hills, MI · On-site

Your mission, roles and responsibilities Role Summary As a Data Scientist / Machine Learning ... Python programming language and deep learning frameworks such as PyTorch and TensorFlow to ...

Vivo HealthStaff

Bioinformatics Scientist

Ann Arbor, MI · On-site

$170K - $190K/yr

Bioinformatics Scientist (Mid/Senior) Compensation: $170,000 - $190,000 Location: South San ... Proficiency with standard bioinformatics tooling (Python, Linux, Git) is required. * Sequencing ...

Faurecia

Data Scientist

Auburn Hills, MI · On-site

Utilize Python programming language and deep learning frameworks such as PyTorch and TensorFlow to ... Stay abreast of the latest developments in data science, machine learning, deep learning, and AI ...

Vivo HealthStaff

Bioinformatics Scientist

Ann Arbor, MI · On-site

$170K - $190K/yr

Bioinformatics Scientist (Mid/Senior) Compensation: $170,000 - $190,000 Location: South San ... Proficiency with standard bioinformatics tooling (Python, Linux, Git) is required. * Sequencing ...

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 ...

Centraprise Corp

Data Scientist

Auburn Hills, MI

... Python and SQL • Experience with ML libraries such as Scikit-learn, XGBoost, TensorFlow, or ... Science & Analytics • Perform EDA to identify trends, patterns, anomalies, and key business ...

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$35.2K

$115.2K

$184.4K

How much do scientist python jobs pay per year?

As of Jun 7, 2026, the average yearly pay for scientist python in Novi, MI is $115,152.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,400.00 and $127,600.00 per year, depending on experience, location, and employer.

How do Scientist Python roles typically collaborate with other team members during research and development projects?

Scientist Python professionals frequently work in multidisciplinary teams, collaborating closely with data scientists, domain experts, and software engineers. They are often responsible for developing and implementing Python-based models or algorithms, then integrating their work with broader research goals or product pipelines. Regular communication, code reviews, and shared documentation are common practices to ensure alignment and reproducibility. This collaborative environment offers opportunities to learn from peers and contribute to diverse projects, fostering both technical and professional growth.

What does a Scientist Python do?

A Scientist Python, often referred to as a Python Scientist or Data Scientist specializing in Python, uses the Python programming language to analyze data, build predictive models, and solve scientific or business problems. They work with large datasets, apply statistical and machine learning techniques, and create visualizations to interpret results. Their work often involves writing code to clean, manipulate, and analyze data efficiently. Python's extensive libraries, such as Pandas, NumPy, and SciPy, make it a popular choice for scientific computing and data science tasks.

What are the key skills and qualifications needed to thrive as a Scientist Python, and why are they important?

To thrive as a Scientist Python, you need strong programming skills in Python, a solid background in scientific methods or data analysis, and typically an advanced degree in a relevant field such as computer science, physics, or biology. Experience with data analysis libraries (e.g., NumPy, pandas, SciPy), machine learning frameworks (e.g., scikit-learn, TensorFlow), and version control systems is commonly required. Critical thinking, effective communication, and problem-solving abilities help distinguish top performers in this role. These skills enable efficient data-driven research, reproducible scientific workflows, and successful collaboration in multidisciplinary environments.

What is the difference between Scientist Python vs Data Analyst Python?

AspectScientist PythonData Analyst Python
Required CredentialsBachelor's or Master's in Science, Data Science, or related fields; Python proficiencyBachelor's in Statistics, Data Analysis, or related fields; Python skills
Work EnvironmentResearch labs, R&D departments, tech companiesBusiness intelligence teams, marketing, finance departments
Employer & Industry UsageResearch institutions, tech firms, healthcareCorporate, finance, retail, marketing
Common Search & ComparisonYesYes

Scientist Python and Data Analyst Python roles share similar skills like Python programming and data handling. However, Scientists typically focus on research, experimentation, and developing new models, often working in research-heavy environments. Data Analysts concentrate on interpreting existing data to inform business decisions, working mainly in corporate settings. Both roles require strong analytical skills and Python expertise, but their focus and work environments differ significantly.

What are popular job titles related to Scientist Python jobs in Novi, MI? For Scientist Python jobs in Novi, MI, the most frequently searched job titles are:
What job categories do people searching Scientist Python jobs in Novi, MI look for? The top searched job categories for Scientist Python jobs in Novi, MI are:
What cities near Novi, MI are hiring for Scientist Python jobs? Cities near Novi, MI with the most Scientist Python job openings:
Scientist Python jobs near you
Data & AI SCIENTIST

Data & AI SCIENTIST

Stellantis

Auburn Hills, MI • On-site

Full-time

Posted 21 days ago

Stellantis rating

7.4

Company rating: 7.4 out of 10

Based on 124 frontline employees who took The Breakroom Quiz

17th of 44 rated automakers

Job description

The candidate will be responsible for developing advanced data use cases in Stellantis Global Supply Chain business domain, leveraging 360° ecosystem (Supply Chain, Manufacturing, Engineering, Sales and Marketing, and Purchasing. The candidate will work in a very diverse, international and challenging environment, in close collaboration with business stakeholders and data engineering teams. The candidate will have strong experience in building and implementing models, using/creating algorithms and creating/running simulations. As well as using a variety of data mining/data analysis methods.
Job responsibilities include but not limited to:
  • Merge large, complex data sets that meet business requirements
  • Analyze large amounts of information to discover trends and patterns
  • Build predictive models and machine-learning algorithms
  • Writing and refactoring the code into reusable libraries and API
  • Support business analytics initiatives across SC departments
  • Facilitate the internal and external data science & AI network
  • Be a specialist on specific data science fields (e.g. NLP, Computer Vision, Time Series)

Basic Qualifications:
  • Master in Data Science / Computer Science
  • 5 years of relevant experience (i.e. ICT and/or Supply Chain)
  • Knowledge of at least one of some of the main Big Data frameworks and platforms: Spark, Databricks, Snowflake
  • Strong programming skills in Python and SQL
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, ...)
  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, ...) and their real-world advantages/drawbacks
  • Combination of business focus, analytical and problem-solving skills to quickly define a data-driven solution within different initiatives
  • Ability to work within a team and with a proactive attitude

Preferred Qualifications:
  • PhD
  • Experience in a multinational (global) work environment
  • AI: mastery in one AI field such as Natural Language Processing or Computer Vision is appreciated
  • Palantir Foundry platform
  • Microsoft PowerBI / Fabrics tool (incl. DAX programming language)
  • Deep learning frameworks (Pytorch, Tensorflow, ...)
  • Ability to communicate and summarize technical topics for non-technical audience (incl. leadership)

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