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Remote Geology Data Science 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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Remote Geology Data Science information

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

To thrive as a Remote Geology Data Scientist, you need a solid background in geology, strong analytical skills, and proficiency in data science, typically supported by a degree in geosciences or a related field. Familiarity with programming languages (such as Python or R), GIS software (like ArcGIS or QGIS), and experience with data visualization and machine learning tools are commonly required. Excellent problem-solving abilities, attention to detail, and strong communication skills help convey complex geological insights to diverse stakeholders. These skills are crucial for analyzing large geoscientific datasets remotely, driving data-driven decision-making, and contributing valuable insights to geological projects.

What are some typical challenges faced by remote geology data scientists, and how can they be addressed?

Remote geology data scientists often encounter challenges related to collaborating with field teams, accessing large geospatial datasets, and ensuring data quality from a distance. Effective communication tools and regular virtual meetings help bridge the gap between remote and on-site teams. Utilizing cloud-based platforms for data storage and processing can facilitate access to large datasets, while standardized data collection protocols ensure consistency and accuracy. Building strong relationships with field personnel and staying proactive about potential data issues are key strategies for success in this role.

What is a Remote Geology Data Scientist?

A Remote Geology Data Scientist is a professional who analyzes geological data using advanced data science techniques, often working from a remote location. They apply statistical models, machine learning, and programming skills to extract insights from datasets related to earth sciences, such as mineral exploration, seismic activity, or environmental monitoring. Their work supports decision-making in industries like oil and gas, mining, and environmental consulting. Remote roles leverage digital tools and communication platforms to collaborate with teams and stakeholders from anywhere in the world.
What are the most commonly searched types of Geology Data Science jobs in Michigan? The most popular types of Geology Data Science jobs in Michigan are:
What are popular job titles related to Remote Geology Data Science jobs in Michigan? For Remote Geology Data Science jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Remote Geology Data Science jobs in Michigan look for? The top searched job categories for Remote Geology Data Science jobs in Michigan are:
What cities in Michigan are hiring for Remote Geology Data Science jobs? Cities in Michigan with the most Remote Geology Data Science job openings:
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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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