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Data Science Remote Freelance Jobs in Michigan (NOW HIRING)

DataAnnotation

Data Science Consultant

Lansing, MI · On-site +1

$40/hr

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.

DataAnnotation

Data Scientist

Lansing, MI · Remote

$40/hr

Data Scientist Join to apply for the Data Scientist role at DataAnnotation . We are looking for a ... computer science. Benefits Full‐time or part‐time remote position Choose which projects you ...

Ford Motor Company

Data Scientist

Dearborn, MI · Remote

Bachelor's degree in Data Science, Engineering, Mathematics, Computer Science, Operations Research ... Benefit Summary This role is remote but if you live within 50 miles within Dearborn, MI, you will ...

DataAnnotation

Decision Scientist

Lansing, MI · On-site +1

$40/hr

... remote work and setting your own schedule. We are looking for experienced quantitative ... Whether your background is in data science, astrophysics, economics, biostatistics, operations ...

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Data Science Remote Freelance information

What are the key skills and qualifications needed to thrive as a Data Science Remote Freelance professional, and why are they important?

To thrive as a Data Science Remote Freelance professional, you need strong analytical skills, proficiency in statistics, programming (Python or R), and a solid understanding of machine learning, typically supported by a relevant degree or portfolio. Familiarity with data visualization tools (like Tableau), cloud platforms (such as AWS or GCP), and version control systems (like Git) is highly valuable. Exceptional communication, self-motivation, and time management are critical soft skills for remote client collaboration and project delivery. These skills ensure you can independently deliver actionable insights and maintain client satisfaction in a flexible, remote setting.

How do remote freelance data scientists typically manage collaboration and communication with clients and teams?

Remote freelance data scientists usually rely heavily on digital collaboration tools such as Slack, Zoom, and project management platforms to stay connected with clients and team members. Clear communication about project goals, timelines, and deliverables is essential, especially since team members may be located in different time zones. Regular check-ins, status updates, and sharing progress through documentation or presentations help ensure everyone stays aligned. Building strong relationships and maintaining transparency are key to successful remote collaboration in this role.

What does a Data Science Remote Freelance job involve?

A Data Science Remote Freelance job involves working independently, often from home or any location, to provide data analysis, modeling, and interpretation services to various clients or companies. Freelance data scientists use programming, statistics, and machine learning to solve business problems, create predictive models, and generate actionable insights from data. They may work on projects like data cleaning, visualization, algorithm development, and reporting, and must manage their own schedules and client relationships.

What is the difference between Data Science Remote Freelance vs Data Analyst Remote Freelance?

AspectData Science Remote FreelanceData Analyst Remote Freelance
Required CredentialsTypically requires a degree in data science, statistics, or related field; proficiency in programming languages like Python or RUsually requires a degree in statistics, mathematics, or related field; strong Excel and SQL skills
Work EnvironmentIndependent, project-based, often self-managedIndependent, project-based, often self-managed
Employer & Industry UsageUsed by tech companies, startups, and consulting firms for complex data modelingUsed across industries for reporting, data visualization, and business insights

Data Science Remote Freelance and Data Analyst Remote Freelance share similarities in work environment and employer usage, but data science roles typically require more advanced technical skills and programming knowledge. Both roles are popular in remote freelance markets, serving different analytical needs.

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

Data Science Consultant

DataAnnotation

Lansing, MI • On-site, Remote

$40/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for experienced quantitative professionals to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real-world quantitative experience to validate whether the outputs actually hold up in practice.

That's where you come in. As a member of DataAnnotation's team, you'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here.

Some team members fit this work alongside a full-time role, while others treat it as their primary focus. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand. Flexible schedule: choose which projects you take on and when you work. Competitive pay: projects are paid hourly, starting at $40+ USD per hour.

Impact: help shape the future of AI systems built to reason about data and analytics. Responsibilities Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world validity. Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.

Write clear technical explanations and well-documented analytical code. Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning. Qualifications 2+ years of hands‐on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.

Some coding experience required, with comfort writing and reviewing analytical code end-to-end. Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time‐series forecasting). Fluency in English (native or bilingual level) with strong writing skills.

A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise). Note: Payment is made via PayPal.

We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. #datascience #J-18808-Ljbffr

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