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Remote Geology Data Science Jobs (NOW HIRING)

College Board

Data Scientist, Data Science Team

This is a fully remote role. Candidates who live near CB offices have the option of being fully ... This is a full-time position About the Team The Data Science team provides critical insights and ...

Zenlaw

Data Scientist (Remote)

New York, NY · On-site +1

Our full-stack Data Science Team uses Python for research and development. Our wide range of ... Due to the remote nature of this role, we are unable to provide visa sponsorship.

iSpot

Manager, Client Data Science

Bellevue, WA · Remote

$136K - $168K/yr

Our Client Data Science team is dedicated to delivering invaluable insights and reports to our ... remote employee. A hybrid work schedule indicates that you work in the office some days and work ...

New

The Knot Worldwide

VP, Data Science

$235K - $336K/yr

The VP of Data Science & Analytics will lead experimentation, business intelligence, and advanced ... This role is fully remote and not tied to any specific office location. While there are no regular ...

Quadax, Inc.

Data Science Analyst

Cleveland, OH · On-site +1

Open to remote employees ONLY in: OH (if residence is outside a reasonably commutable distance), PA ... in Data Science * Professional experience with, and more than a basic understanding of AI ...

Elder Research

Data Scientist (Remote)

... Area - Remote (candidates MUST BE located in the National Capital Region - DMV) • Clearance ... Elder Research is a data science consultancy specializing in predictive analytics, AI, and machine ...

Engine

Manager, Data Science

$169K - $235K/yr

Your Mission We are seeking a Manager of Data Science to lead our talented team of data scientists ... Whether you are in one of our amazing offices or fully remote, we'll make sure you have what you ...

The Hartford

Director of Data Science

Charlotte, NC · On-site +1

$153K - $229K/yr

Dir Data Science - GD06AE We're determined to make a difference and are proud to be an insurance ... Candidates who do not live near an office may be considered for a remote work arrangement with ...

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Remote Geology Data Science information

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$37.5K

$122.7K

$196.5K

How much do remote geology data science jobs pay per year?

As of Jul 11, 2026, the average yearly pay for remote geology data science in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

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 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.
More about Remote Geology Data Science jobs
What cities are hiring for Remote Geology Data Science jobs? Cities with the most Remote Geology Data Science job openings:
What are the most commonly searched types of Geology Data Science jobs? The most popular types of Geology Data Science jobs are:
What states have the most Remote Geology Data Science jobs? States with the most job openings for Remote Geology Data Science jobs include:
What job categories do people searching Remote Geology Data Science jobs look for? The top searched job categories for Remote Geology Data Science jobs are:
Remote Geology Data Science jobs near you
Infographic showing various Remote Geology Data Science job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Data Scientist, Data Science Team

Data Scientist, Data Science Team

College Board

Remote

Full-time

Re-posted 20 days ago

Job description

College Board - Technology Division
Location: This is a fully remote role. Candidates who live near CB offices have the option of being fully remote or hybrid (Tuesday and Wednesday in office).
Type: This is a full-time position
About the Team
The Data Science team provides critical insights and tools to help the executive leadership team, technology teams, and business units optimize test delivery, test development, and test security. Our expertise is understanding a wide array of business problems and using a variety of techniques including data analysis, machine learning, and software engineering to create value from data and support decision making. We have a passion for data analysis, programming, applying new technologies, and building practical solutions. Our small tight knit self-organized team of Data Scientists and Machine Learning Engineers collaborates closely and uses creative problem solving to tackle difficult challenges for many of the organization's strategic initiatives. We love having virtual happy hours and celebrating our accomplishments.
About the Opportunity
As a Data Scientist, you are a passionate collaborator who works closely with team members and stakeholders. You relish the opportunity to bring your ideas, love of coding, data savvy, and business acumen to improve processes that are expensive or impossible to perform without machine learning. You are not shy about taking on new work you may not have done before while eagerly building machine learning models to support the new digital testing platform or eagerly providing executive leadership critical insights to make strategic decisions.
In this role, you will
Develop machine learning applications (40%)
  • Design and implement high quality software using the latest and greatest cloud and machine learning technologies
  • Independently manage and complete all the work needed to deliver small or medium sized applications and analyses on time and at a very high level of quality
  • Help identify and build major components of complex machine learning models
  • Judiciously evaluate the effectiveness and fairness of models and articulate considerations and concerns around implementing models in the context of the business application
  • Build functions, APIs, and data stores to make predictions and analyses accessible to other systems

Data exploration, analysis, and prototyping (40%)
  • Create insights from existing data and drive the collection of new data
  • Communicate methodology and results of advanced analyses using accessible language and intuitive data visualizations
  • Create reproducible, documented analyses and models that lend themselves to automation

Team Operations & Success (20%)
  • Help the team break down the work into manageable tasks and support our Agile maturity
  • Substantially improve the team's productivity and quality by enhancing tools, processes, and code structure
  • Advise other teams on Machine Learning projects and assist with establishing Machine Learning governance
  • Assist in the identification and resolution of production issues

About you, you have:
  • Ideally a Master's in a quantitative discipline or computer science, or a Bachelor's and 2-3 years related experience, or 3+ years related experience.
  • Programming expertise in Python (Pandas)
  • Experience in data and statistical analysis
  • Proven experience in developing Machine Learning (ML) and Deep Learning (DL) solutions to solve real-world problems.
  • Experience with SQL and NoSQL databases.
  • A passion for solving difficult problems creatively.
  • Excellent communication and listening skills, and are able to help others understand both problems and solutions.
  • The ability to tell a story with your data.
  • Worked within a close knit team and enjoy helping your colleagues succeed
  • Knowledge in CI/CD, DevOps and Agile
  • Knowledge in developing applications on an Serverless or Microservices cloud platform (AWS/Azure/GCP, etc.)

For all roles at College Board:
We are seeking individuals who are passionate about expanding educational and career opportunities and committed to mission-driven work. Candidates must be authorized to work in the United States for any employer and should possess clear and concise communication skills, both written and verbal. Proficiency in Microsoft Suite tools is preferred, though a willingness to learn is equally valued. We look for those with curiosity and enthusiasm for emerging technologies, particularly AI-driven solutions, and a proactive approach to independently learning and applying new digital tools. Most importantly, applicants should demonstrate the skills and mindsets aligned with College Board's Operating Principles, reflecting a commitment to continuous growth, collaboration, and impact, notably:
  • A commitment to candid, timely, respectful feedback
  • A learner orientation and an openness to ideas and diverse perspectives
  • The ability to push for excellence through data-informed decision-making, iterative learning, external benchmarking and user-inputs
  • Strong problem-solving skills, including the ability to break down complex issues and identify clear paths forward
  • A track record of prioritizing high-impact work, simplifying complexity, taking initiative, and making decisions quickly with clarity of purpose
  • A habit of collaborating across differences, practicing empathy, and contributing to a culture of trust and shared success

About Our Process
  • Application review will begin immediately and will continue until the position is filled. This role is expected to accept applications for a minimum of 5 business days.
  • While the hiring process may vary, it generally includes: resume and application submission, recruiter phone/video screen, hiring manager interview, performance exercise such as live coding, a panel interview, a conversation with leadership and reference checks.

What We Offer
At College Board, we offer more than just a paycheck-we provide a meaningful career, a supportive team, and a comprehensive package designed to help you thrive. We're a self-sustaining nonprofit that believes in fair and competitive compensation, grounded in your qualifications, experience, impact, and the market.
A Thoughtful Approach to Compensation
  • The hiring range for this role is $135,000-$163,000.
  • Your exact salary will depend on your location, experience, and how your background compares to others in similar roles at the College Board.
  • We aim to make our best offer upfront, rooted in fairness, transparency, and market data.
  • We adjust salaries by location to ensure fairness, no matter where you live.

You'll have open, transparent conversations about compensation, benefits, and what it's like to work at College Board throughout your hiring process. Check out our careers page for more.
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