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Remote Geology Data Science Jobs (NOW HIRING)

Mercor

Data Science Expert - Fully Remote

New York, NY · Remote

$70 - $100/hr

Expert Professionals -- AI & Data Science Type: Contract Compensation: $70-$100/hour Location: Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams to close ...

YO IT Consulting

Geology QA Lead - Remote

... geology explanations, earth science summaries, geologic process descriptions, map/data ... Preferred : • Familiarity with tools or methods such as GIS, remote sensing, geologic mapping ...

YO IT Consulting

Geology QA Lead - Remote

... geology explanations, earth science summaries, geologic process descriptions, map/data ... Preferred : • Familiarity with tools or methods such as GIS, remote sensing, geologic mapping ...

Mercor

Data Science Manager

New York, NY · Remote

$70 - $100/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams on data science methodology , statistical inference , and modeling best practices . * Design challenging ...

Paylocity

Manager Data Science

This is a fully remote position, allowing you to work from home or location of record within the U ... Manager Data Science Position Overview The Paylocity Data Science team is focused on building ...

Cigna

Data Science Director - Remote

As the Data Science Director for Pricing & Underwriting, you will lead high-impact teams that build and evolve machine learning models influencing business growth, risk selection, forecasting ...

New

Cigna

Data Science Director - Remote

Raleigh, NC · On-site +1

As the Data Science Director for Pricing & Underwriting, you will lead high-impact teams that build and evolve machine learning models influencing business growth, risk selection, forecasting ...

New

Cigna

Data Science Director - Remote

New York, NY · On-site +1

As the Data Science Director for Pricing & Underwriting, you will lead high-impact teams that build and evolve machine learning models influencing business growth, risk selection, forecasting ...

New

Cigna

Data Science Director - Remote

Bloomfield, CT · On-site +1

As the Data Science Director for Pricing & Underwriting, you will lead high-impact teams that build and evolve machine learning models influencing business growth, risk selection, forecasting ...

New

Porch.com, Inc.

Head of Data Science

Seattle, WA · On-site +1

Remote Job Summary The future is bright for the Porch Group, and we'd love for you to be a part of it as our Head of Data Science . Porch Group is looking for a transformative Head of Data Science to ...

Porch.com, Inc.

Head of Data Science

Seattle, WA · On-site +1

Remote Job Summary The future is bright for the Porch Group, and we'd love for you to be a part of it as our Head of Data Science . Porch Group is looking for a transformative Head of Data Science to ...

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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.
Director, Data Science: Data Science Tools

Director, Data Science: Data Science Tools

Liberty Mutual Insurance

MA • On-site, Remote

$120K/yr

Full-time

Posted 24 days ago

Liberty Mutual rating

8.9

Company rating: 8.9 out of 10

Based on 144 frontline employees who took The Breakroom Quiz

33rd of 281 rated insurance

Job description

Description
The Data Science Infrastructure organization within USRM is hiring a Senior Technical Professional, Data Scientist to join the Data Science Tools team. This role will focus on improving the end-to-end modeling workflow for USRM Data Science by building internal tools, pipelines, and applications that streamline model development, evaluation, deployment, and iteration. The ideal candidate is highly technical, proactive, and motivated by building systems that help other data scientists work more efficiently.
**Candidates who live within 50 miles of Boston, MA; Portsmouth, NH; Seattle, WA; Columbus, OH; or Plano, TX will follow a hybrid schedule, coming into the office two days per week. Otherwise, this role is remote with occasional travel. **
Responsibilities:
  • Design and build internal tools, pipelines, and applications that improve model development, evaluation, and deployment
  • Own strategy and roadmaps for improving data science workflows and tooling across USRM
  • Design, build, and maintain Python packages used across the organization
  • Evaluate and implement AI agent capabilities in tooling using approaches such as MCP, RAG, PydanticAI, LangChain, or related frameworks
  • Work with workflow and modeling tools such as Luigi, Airflow, Celery, MLflow, H2O, scikit-learn, Optuna, and LightGBM, as well as Python development tools such as Pydantic, FastAPI, uv, ruff, and pytest
  • Promote MLOps and AI agent best practices in collaboration with groups such as Enterprise Data & Data Science
  • Stay current on developments in open-source data science frameworks, MLOps, and agentic coding practices
  • Help shape the direction of the Tools team and contribute to a culture of ownership, collaboration, and continuous improvement

The ideal candidate will have:
  • Professional experience building and maintaining Python-based data science or Machine Learning tooling used by multiple end users or teams
  • Worked with any of the following in a professional setting: Git, Bash/shell scripting, uv, pre-commit, ruff, pytest, or Pydantic
  • Built, deployed, or maintained workflows or pipelines using any of the following: Airflow, Luigi, Celery, Databricks, or MLflow
  • Implemented or supported AI/LLM-based tooling using frameworks such as PydanticAI, LangChain, MCP, or RAG
  • Developed, reviewed, or maintained internal Python packages, APIs, or data science applications using tools such as FastAPI, Streamlit, Dash, NiceGUI, or Plotly
  • Applied agentic AI techniques in day-to-day development and incorporate AI capabilities directly into tools and applications where they create meaningful value for data scientists

Qualifications
  • Broad knowledge of predictive analytic techniques and statistical diagnostics of models.
  • Advanced knowledge of predictive toolset; reflects as expert resource for tool development.
  • Demonstrated ability to exchange ideas and convey complex information clearly and concisely.
  • Ability to establish and build relationships within and outside the organization.
  • Ability to give effective training and presentations to management and other groups.
  • Ability to use results of analysis to persuade team, department management or senior management to a particular course of action.
  • Broad knowledge of business drivers and market context.
  • Has a value driven perspective with regard to understanding of work context and impact.
  • Competencies typically acquired through a Ph.D. degree (in Statistics, Mathematics, Economics, Actuarial Science or other scientific field of study) and a minimum of 3 years of relevant experience, a Master`s degree (scientific field of study) and a minimum of 6 years of relevant experience or may be acquired through a Bachelor`s degree (scientific field of study) and a minimum of 8 years of relevant experience.

About Us
Pay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role.
At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve.
We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://LMI.co/Benefits
Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.
Fair Chance Notices
  • California
  • Los Angeles Incorporated
  • Los Angeles Unincorporated
  • Philadelphia
  • San Francisco

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About Liberty Mutual

Sourced by ZipRecruiter

Since 1912, we've grown into the fifth largest global property and casualty insurer based on 2022 gross written premium. We also rank 86 on the Fortune 100 list of largest corporations in the US based on 2022 revenue. ​At Liberty Mutual Insurance we work hard every day to support our customers and our people, so they can protect their families, build their businesses and invest in their futures. We are headquartered in Boston, but our people, our customers and our reach span the globe. So to better serve our global customers and employees, we are organized into three business units.

Industry

Insurance services

Company size

10,000+ Employees

Headquarters location

Boston, MA, US

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