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Scientist Python Jobs in Michigan (NOW HIRING)

Stellantis

Data & AI SCIENTIST

Auburn Hills, MI · On-site

Stellantis is a global automotive company seeking a Data & AI Scientist to develop advanced data ... Spark, Databricks, Snowflake • Strong programming skills in Python and SQL • Knowledge of ...

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 ...

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Scientist Python information

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 Michigan? For Scientist Python jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Scientist Python jobs in Michigan look for? The top searched job categories for Scientist Python jobs in Michigan are:
What cities in Michigan are hiring for Scientist Python jobs? Cities in Michigan with the most Scientist Python job openings:
Scientist Python jobs near you

Data Scientist

Tata Consultancy Service Limited

Auburn Hills, MI • On-site

$120K - $125K/yr

Full-time

Posted 11 days ago

Job description

Data Scientist
Must Have Technical/Functional Skills
• 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
Roles & Responsibilities
Data Science & Analytics
• 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
Stakeholder & Delivery Engagement
• 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
Generic Managerial Skills, If any
• 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
Education
Bachelors
Salary Range: $120000 - $125000 a year
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