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Hourly Python Data Science Jobs in Michigan (NOW HIRING)

Delta Dental of Michigan

Data Scientist

Okemos, MI · On-site

To implement quantitative and predictive models, data science experiments using literate programming techniques such as Python Jupyter Notebooks, develop appropriate visualizations of data, curate ...

Padagis LLC

Internship, Data Science

Wyoming, MI · Hybrid

$27/hr

Padagis is seeking a current college student or recent graduate to work as a Data Science Intern ... Exposure to SAP ERP * Coding in Python, SQL, VB or R for statistical modelling and integrations ...

Eliassen Group

Python MLOps Engineer

Lansing, MI · Remote

$65 - $75/hr

This work enables the senior data scientist to concentrate on model development while you drive ... The pay range provided in this posting reflects a W2 hourly rate; other employment options may be ...

Padagis LLC

Internship, Data Science

Wyoming, MI · On-site

$27/hr

Padagis is seeking a current college student or recent graduate to work as a Data Science Intern ... Exposure to SAP ERP * Coding in Python, SQL, VB or R for statistical modelling and integrations ...

Varsity Tutors

Python Tutor

Kalamazoo, MI · Remote

$40/hr

... students for data science, web development, automation, and computer science coursework ... Familiar with Python curricula at introductory through advanced levels and common challenges such ...

Varsity Tutors

Python Tutor

Ann Arbor, MI · Remote

$40/hr

... students for data science, web development, automation, and computer science coursework ... Familiar with Python curricula at introductory through advanced levels and common challenges such ...

Padagis

Internship, Data Science

Wyoming, MI · Hybrid

Information Systems, Computer Science, Data Analytics, or related business discipline AND either ... Exposure to SAP ERP * Coding in Python, SQL, VB or R for statistical modelling and integrations ...

Varsity Tutors

Python Tutor

Detroit, MI · Remote

$40/hr

... students for data science, web development, automation, and computer science coursework ... Familiar with Python curricula at introductory through advanced levels and common challenges such ...

Tech Tammina LLC

Data Scientists Modeling

Dearborn, MI · On-site

... data science (e.g., Python, R). Skills Preferred: • Experience working with cloud computing platforms, particularly Google Cloud Platform (GCP). • Experience with specific machine learning ...

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 ...

Stellantis

Data Scientist

Auburn Hills, MI · On-site

Minimum of 5 years of experience in data science, econometrics or a related field * Proficiency in Python and SQL * Hands-on experience with big data and cloud platforms such as Databricks, Snowflake ...

Howmet Aerospace

Data Scientist

Whitehall, MI · On-site

... data science experience Demonstrated success applying advanced statistical methods and/or machine learning algorithms to production/field data using Python or R Manufacturing / industrial plant ...

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Hourly Python Data Science information

What are the key skills and qualifications needed to thrive as an Hourly Python Data Science professional, and why are they important?

To thrive as an Hourly Python Data Science professional, you need a solid understanding of statistics, data analysis, and programming in Python, often supported by a degree in a quantitative field or equivalent experience. Familiarity with tools like Pandas, NumPy, scikit-learn, and data visualization libraries, as well as experience with version control systems like Git, is typically required. Strong problem-solving abilities, effective communication, and adaptability help you deliver insights and solutions to clients efficiently. These skills ensure accurate analysis, clear reporting, and the ability to meet diverse project needs in a flexible, project-based environment.

What are some common challenges faced by hourly Python Data Science professionals, and how can they be addressed?

Hourly Python Data Science professionals often encounter challenges such as managing multiple clients with varying expectations, adapting quickly to different data environments, and handling inconsistent workloads. To address these, it's important to establish clear communication with clients about project scope and deadlines, maintain well-organized code and documentation for easy context switching, and utilize tools like version control and virtual environments. Building a strong personal workflow and prioritizing time management can help ensure high-quality deliverables across diverse projects.

What are Hourly Python Data Science jobs?

Hourly Python Data Science jobs are roles where professionals use Python programming to analyze, interpret, and visualize data, and are paid based on the number of hours they work. These positions often involve tasks such as data cleaning, statistical analysis, machine learning, and data visualization. Hourly data science jobs offer flexibility for both employers and workers, making them popular for freelance, contract, or part-time arrangements. Python's robust libraries and tools make it a preferred language for these roles.

What is the difference between Hourly Python Data Science vs Data Analyst?

AspectHourly Python Data ScienceData Analyst
Required SkillsPython, statistical analysis, machine learningExcel, SQL, data visualization
Work EnvironmentTech companies, startups, research labsBusiness, marketing, finance sectors
Common CertificationsPython certifications, data science coursesExcel, Tableau, SQL certifications

Hourly Python Data Science roles focus on advanced analytics, machine learning, and programming with Python, often in tech-driven environments. Data Analysts typically handle data cleaning, visualization, and reporting using tools like Excel and SQL. While both roles require data handling skills, Python Data Science positions demand programming expertise and statistical knowledge, making them more technical and specialized.

What are the most commonly searched types of Python Data Science jobs in Michigan? The most popular types of Python Data Science jobs in Michigan are:
What are popular job titles related to Hourly Python Data Science jobs in Michigan? For Hourly Python Data Science jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Hourly Python Data Science jobs in Michigan look for? The top searched job categories for Hourly Python Data Science jobs in Michigan are:
What cities in Michigan are hiring for Hourly Python Data Science jobs? Cities in Michigan with the most Hourly Python Data Science job openings:
Hourly Python Data Science jobs near you
Data Scientist

Data Scientist

Delta Dental of Michigan

Okemos, MI • On-site

Full-time

Medical, Dental

Posted 6 days ago

Job description

Job Title:
Data Scientist
Number of Positions:
1
Location:
Okemos, MI
Location Specifics:
Hybrid Position
Job Summary:
At Delta Dental of Michigan, Ohio, and Indiana we work to improve oral health through benefit plans, advocacy and community support, and we amplify this mission by investing in initiatives that build healthy, smart, vibrant communities. We are one of the largest dental plan administrators in the country, and are part of the Delta Dental Plans Association, which operates two of the largest dental networks in the nation.
At Delta Dental, we celebrate our All In culture. It's a mindset, feeling and attitude we wrap around all that we do - from taking charge of our careers, to helping colleagues and lending a hand in the community.
Position Description:
To implement quantitative and predictive models, data science experiments using literate programming techniques such as Python Jupyter Notebooks, develop appropriate visualizations of data, curate and prepare data using appropriate programmatic and non-programmatic data transformation techniques, continuously learn new techniques and methods to improve data science outcomes.
Primary Job Responsibilities:
  • Develops and implements advanced statistical models using casual modelling, machine learning and optimization techniques.
  • Leads the team incorporating new Data Science techniques to enhance the organization's best practices.
  • Applies machine learning algorithms and predictive models to solve complex business challenges.
  • Designs and conducts data-driven experiments to validate findings and hypotheses.
  • Communicates insights and results to senior stakeholders and decision-makers.
  • Develops innovative approaches to data collection and validation, incorporating both structured and unstructured data sources.

Perform other related assigned duties as necessary to complete the Primary Job Responsibilities as described above.
#LI-Hybrid
Minimum Requirements:
Position requires a bachelor's degree in Computer Science, Mathematics, Statistics, or other quantitative field with a master's degree in Data Science, Business Analytics, Health Informatics, or related field preferred, and three years of experience working extensively with data. Knowledge of health or dental insurance, or of dental clinical practice preferred.
Position requires experience in statistical modeling methods, machine learning algorithms, supervised and unsupervised learning, and data mining techniques; proficiency with statistical software packages like SAS, R, or equivalent preferred; experience with programming languages, especially Python and SQL, or equivalent;
excellent communication skills and the ability to clearly and concisely communicate complex information to a variety of audiences, both technical and non-technical; the ability to collaborate in a team.
The company will provide equal employment and advancement opportunity within the context of its unique business environment without regard to race, color, religion, gender, gender identity, gender expression, age, national origin, familial status, citizenship, genetic information, disability, sex, sexual orientation, marital status, pregnancy, height, weight, military status, or any other status protected under federal, state, or local law or ordinance.

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