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Weekend Data Science Jobs in Michigan (NOW HIRING)

Cavallo Solutions

Data Scientist

Grand Rapids, MI · On-site

Using our customers' data and advanced data science, we are building products that allow our customers to flourish and thrive. Data is a pillar of our core values; it fuels more informed and ...

Cavallo Solutions

Data Scientist

Grand Rapids, MI · On-site

Using our customers' data and advanced data science, we are building products that allow our customers to flourish and thrive. Data is a pillar of our core values; it fuels more informed and ...

Deloitte

AI and Data Science Engineer III

Detroit, MI · On-site

$113K - $136K/yr

AI Data Science Engineer III Our Deloitte Human Capital team transforms technology platforms, drives innovation, and helps make a significant impact on our clients' success. We are hiring a Senior ...

Ford Motor Company

Data Scientist

Dearborn, MI · On-site

$128K - $186K/yr

Architecting and integrating complex novel data science algorithms into the fabric of these end user applications. Ensuring application performance and adhering to enterprise compliance and best ...

Denso

Data Scientist 2

Southfield, MI · On-site

$90K - $113K/yr

Contribute to and help establish analytics and data science standards, methodologies, and best practices for process improvement initiatives. * Support training and enablement of associates on new ...

Tech Tammina LLC

Data Scientists Modeling

Dearborn, MI · On-site

... data science problems and analytical tasks. • Develop, train, and evaluate statistical and machine learning models to address specific business needs (e.g., prediction, classification, clustering ...

Denso

Data Scientist 2

Southfield, MI

$90K - $113K/yr

Contribute to and help establish analytics and data science standards, methodologies, and best practices for process improvement initiatives. * Support training and enablement of associates on new ...

Epitec

Data Scientist

Southfield, MI · On-site

$128K/yr

Master's - Data Science, Computer Science, Computer Engineering, Systems Engineering, or in a related field of study (will accept equivalent foreign degree); Training: None; Experience: One (1) year ...

Deloitte

Data Scientist

Grand Rapids, MI · On-site

Stay up to date with the latest trends and technologies in data science and machine learning. * Ability to work independently and collaborate as part of a team * Effective written and verbal ...

Stellantis

Data & AI SCIENTIST

Auburn Hills, MI · On-site

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 ...

Deloitte

AI and Data Science Engineer III

Detroit, MI · On-site +1

$113K - $136K/yr

AI and Data Science Engineer III Position Summary Our Deloitte Human Capital team transforms technology platforms, drives innovation, and helps make a significant impact on our clients' success. We ...

Deloitte

Data Scientist

Detroit, MI · On-site

Stay up to date with the latest trends and technologies in data science and machine learning. * Ability to work independently and collaborate as part of a team * Effective written and verbal ...

Deloitte

Data Scientist

Midland, MI · On-site

Stay up to date with the latest trends and technologies in data science and machine learning. * Ability to work independently and collaborate as part of a team * Effective written and verbal ...

Stellantis

Data & AI SCIENTIST

Auburn Hills, MI · On-site

Required : • 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 ...

Munich Re

Data Scientist, AI

Ann Arbor, MI · On-site +1

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on developing and maintaining predictive models that support all domains across the business. In this role ...

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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 Scientist

Cavallo Solutions

Grand Rapids, MI • On-site

Full-time

Posted 5 days ago

Job description

At Cavallo, we know the importance of being data-driven. Using our customers' data and advanced data science, we are building products that allow our customers to flourish and thrive. Data is a pillar of our core values; it fuels more informed and efficient decision-making and empowers us to build the tools that help our customers to run a more profitable business.
We are seeking a Data Scientist to join our Product Development Data Science Team. In this role, you will be an integral part of the engineering cycle, building scalable predictive and statistical models that are embedded directly into our software.
Key Responsibilities:
  • End-to-End Product Intelligence: Own the full data science lifecycle-from navigating production databases and transforming raw signals into robust features, to collaborating on the deployment of machine learning models that power intelligent product features.
  • Strategic Partnership: Partner with Product Teams to translate business goals into data-driven strategies that enhance product value.
  • Profit Science: Analyze complex business problems in the distribution space and use mathematical frameworks/ AI/ ML to deliver models that identify margin opportunities and drive customer profitability.
  • Operationalizing Insights: Bridge the gap between complex model outputs and daily business operations by ensuring data findings are integrated, actionable, and "human-readable" for our customers.
  • Stakeholder Communication: Translate complex statistical findings into clear, visual narratives and actionable insights that enable stakeholders to make confident, data-backed decisions.

Qualifications for Success:
  • Experience: 2-4+ years of experience in data science, ideally within a software development or SaaS environment.
  • Education: Bachelor's degree in a quantitative field.
  • Programming & Modeling: Advanced knowledge of Python and a strong foundation in mathematics, statistical analysis, and data mining.
  • Data Engineering & Navigation: Proficiency in SQL with proven experience extracting and transforming data directly from production databases. You are comfortable navigating complex schemas to prepare and structure data for advanced modeling.
  • Machine Learning Frameworks: Possess deep expertise in modern AI/Machine Learning concepts and pattern recognition. Demonstrate mastery of Pandas and Scikit-learn, paired with a comprehensive grasp of algorithms such as LightGBM or XGBoost and other predictive modeling techniques.
  • Product & Development Collaboration: Proficiency with Git for version control and experience working within an Agile/Scrum framework. You are comfortable using tools like Jira to manage tasks within a product development sprint cycle.
  • Extra qualifications to help you stand out: Familiarity with LLMs and RAG techniques to build natural-language interfaces for complex data insights.
  • A natural curiosity for "connecting the dots" and a passion for creative problem-solving.
  • A strong sense of personal ownership, accountability, and attention to detail.
  • Self-motivated and eager to learn, share knowledge, and grow within a collaborative team.

Why Cavallo?
  • #PeopleFirst: We are a #PeopleFirst organization that believes in instilling excellence in the people who make up our team.
  • Legacy of Innovation: We've been helping manufacturing and distribution companies increase productivity since 2003, evolving from "clipboards and legal pads" to streamlined enterprise software.
  • Measurable Value: Join a leadership team dedicated to creating enormous and measurable value for our customers.

About Cavallo
Cavallo is at the forefront of developing cutting-edge profit technologies for product-centric brands and wholesale distributors. . We're seeking the self-motivated, the hard-working, the problem solvers, and the dedicated to join our team of experts. We're focused on helping businesses grow, expand, or reshape how they do things by approaching each and every problem with energy, creativity, and confidence. Ingenuity, adaptation, and evolution are at the core for us at Cavallo.
Our Grand Rapids-based headquarters is focused on helping change the way organizations do business through our software products, customizations, expertise, and support. Our enterprise software solutions work with leading business applications, including multiple leading ERP platforms, and integrate with a wide range of apps and other technologies. Cavallo has been in the business of helping manufacturing and distribution companies increase productivity and efficiency since 2003. We got our start when a small business owner tasked a software developer with transforming a pile of clipboards and legal pads into a streamlined, efficient inventory management system. We have been sharing ideas and innovating ever since.
Join Cavallo and help shape the next generation of data-driven enterprise solutions. If you are a visionary leader passionate about innovation, execution, and scaling world-class products, we'd love to hear from you!
Requirements:
• No need for visa sponsorship

Apply