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Weekend Data Science Jobs in Michigan (NOW HIRING)

Clevanoo LLC

Be Seen First

Data Science

Detroit, MI · On-site

$45 - $47/hr

Data Science Analyst Location: Detroit, MI (Hybrid) Duration: Long Term Contract Pay Rate: $45-47/hr on W2 Only Start Date: Immediate Hiring Manager Update: We wanted someone with experience with AWS ...

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Consumers Energy

Data Scientist

Jackson, MI

Communicate data science outputs effectively and support the development of models and solutions that provide clear, actionable insights for business execution. * Plan, organize, and manage resources ...

Consumers Energy

Data Scientist

Jackson, MI · On-site

Communicate data science outputs effectively and support the development of models and solutions that provide clear, actionable insights for business execution. * Plan, organize, and manage resources ...

Agile Tech Labs

Data Scientist

Detroit, MI · On-site

Minimum 2+ years of relevant Data Science experience. * Bachelor's degree in Data Science, Computer Science, Machine Learning, Statistics, Mathematics, Engineering, or a related field. * Master ...

Consumers Energy Company

Data Scientist

Jackson, MI

Communicate data science outputs effectively and support the development of models and solutions that provide clear, actionable insights for business execution. * Plan, organize, and manage resources ...

Delta Dental of Michigan

Data Scientist

Okemos, MI · Hybrid

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

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 ...

Stellantis

Data Scientist

Auburn Hills, MI · On-site

Your mission is to build and scale trusted data science products that power marketing performance measurement while promoting data science best practices, actionable recommendations and a high bar ...

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Weekend Data Science information

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

To thrive as a Weekend Data Scientist, you need strong analytical skills, proficiency in statistics, and expertise in programming languages such as Python or R, often supported by a degree in a quantitative field. Familiarity with data analysis tools like SQL, machine learning libraries (e.g., scikit-learn, TensorFlow), and data visualization platforms (e.g., Tableau) is typically required. Excellent time management, problem-solving ability, and effective communication are crucial soft skills for delivering insights on tight weekend deadlines. These skills ensure that data-driven decisions can be made efficiently and accurately, even within limited time frames.

What is a Weekend Data Science job?

A Weekend Data Science job typically refers to a part-time or contract-based data science position where the primary work hours are on weekends. These roles are ideal for students, professionals seeking extra income, or those looking to gain experience in the data science field without committing to a full-time weekday schedule. Weekend data scientists analyze data, build models, and generate insights just like full-time data scientists but with flexible or reduced hours that fit around a weekend schedule.

What are some typical challenges faced by data scientists working specifically on weekends, and how can they be managed?

Data scientists working weekend shifts often encounter challenges such as limited access to colleagues for collaboration or support, since many team members may not be available outside standard business hours. Additionally, urgent issues or data anomalies may require quick, independent problem-solving. Proactive communication with weekday teams, thorough documentation, and setting up clear protocols for handoffs can help manage these challenges and ensure smooth workflow continuity.

What is the difference between Weekend Data Science vs Part-Time Data Analyst?

AspectWeekend Data SciencePart-Time Data Analyst
CredentialsTypically requires a degree in data science, statistics, or related fieldOften requires a degree or relevant experience in data analysis or related fields
Work EnvironmentProject-based, flexible hours, often remote or on-site during weekendsFlexible hours, may be remote or on-site, often with less technical complexity
Industry UsageUsed in tech, finance, healthcare, and startups for specialized projectsCommon in retail, marketing, and small businesses for routine data tasks

Weekend Data Science roles focus on complex data projects requiring advanced skills, often during weekends, while Part-Time Data Analysts handle routine data tasks with less technical depth, offering flexible schedules. Both roles serve different needs but share a focus on data work outside standard hours.

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

Data Science

Clevanoo LLC

Detroit, MI • On-site

$45 - $47/hr

Contractor

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Position Title: Data Science Analyst
Location: Detroit, MI (Hybrid)
Duration: Long Term Contract
Pay Rate: $45-47/hr on W2 Only
Start Date: Immediate

Hiring Manager Update:
We wanted someone with experience with AWS tech stack and deeper understanding of building AI/ML systems,  someone who can hit ground running in first week of work.

One other general observation and feedback, I interviewed many candidates for these two earlier roles, I found many candidates who might be good on resume but lacked the knowledge. Some candidates seemed to be reading off screen.

RESPONSIBILITIES:
• Under minimal supervision, responsible for solving complex business cases by understanding problem statements and conditions to generate workable hypotheses and solve by creating data driven models
• Develops complex models by utilizing statistical, algorithmic and visualization techniques and provides insights for cross-functional teams within Our Client and its subsidiaries

QUALIFICATIONS:

Required Skills and Experience (Top 3):
1. Proven experience designing and developing advanced analytics and AI solutions using machine learning and deep learning techniques, including natural language processing (NLP)
2. Hands-on experience working with big data and cloud platforms (AWS preferred, Databricks plus), along with strong software development skills and adherence to best coding practices
3. Strong communication skills, with the ability to clearly explain technical concepts to project leads and present insights effectively to non-technical audiences
Programming:
• Proficient in Python

Experience:
• Minimum 2 years of relevant professional experience
Preferred Skills and Experience:
• Ability to translate complex business problems into analytical solutions, decompose them into actionable components, and build end-to-end data-driven solutions from the ground up
• Experience developing custom NLP applications using deep learning models, including transformer-based architectures (e.g., large language models, or LLMs)
• Familiarity with rapid prototyping and demo creation using frameworks such as Streamlit
• Prior experience in the healthcare industry preferred
Education/Certifications:
• Bachelor’s degree in data science, Machine Learning, Computer Science, Applied mathematics, Statistics, Mechanical Engineering, Operations Research, or related field is required