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Remote Data Science Physics Jobs in Utah (NOW HIRING)

Work with dispatch systems support to ensure the remote data requirements are incorporated into the ... Bachelor's Degree Electrical Engineering, Computer Science, Information Technology, or related ...

Work with dispatch systems support to ensure the remote data requirements are incorporated into the ... Bachelor's Degree Electrical Engineering, Computer Science, Information Technology, or related ...

Data Engineer

Salt Lake City, UT · On-site +1

$110K - $133K/yr

Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent professional ... Hybrid or onsite work environment preferred, with remote consideration based on candidate ...

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific ... Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with ...

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Remote Data Science Physics information

What is the difference between Remote Data Science Physics vs Remote Data Science Engineering?

AspectRemote Data Science PhysicsRemote Data Science Engineering
Required CredentialsPhysics degree, data science certificationsEngineering degree, data science certifications
Work EnvironmentResearch labs, tech companies, academiaTech firms, manufacturing, software companies
Industry UsageScientific research, academia, tech innovationProduct development, systems engineering, software solutions

Remote Data Science Physics focuses on applying physics principles to data analysis and modeling, often in research or scientific contexts. Remote Data Science Engineering emphasizes developing data-driven products and systems within engineering and technology sectors. While both roles require data science skills, their industry applications and focus areas differ significantly.

What are the key skills and qualifications needed to thrive as a remote data science physicist?

To thrive as a Remote Data Science Physicist, you need a strong background in physics, statistics, and mathematics, typically supported by a relevant degree (such as Physics or Data Science) and experience with data analysis. Proficiency with programming languages like Python or R, machine learning frameworks, and data visualization tools is essential, along with familiarity with cloud-based collaboration platforms. Excellent problem-solving skills, communication, and self-motivation are crucial soft skills for remote work and interdisciplinary collaboration. These skills ensure accurate data-driven insights, effective teamwork, and successful project delivery in a remote environment.

How do remote data science physicists typically collaborate with multidisciplinary teams despite working offsite?

Remote data science physicists often work closely with software engineers, domain scientists, and project managers through virtual collaboration tools such as Slack, Zoom, and cloud-based platforms for data sharing and analysis. Regular online meetings, shared documentation, and version-controlled repositories (like GitHub) are essential for maintaining clear communication and workflow alignment. While remote work offers flexibility, it requires proactive communication and strong organizational skills to ensure seamless integration with the broader research or product development team.

What is a remote data science physicist?

A Remote Data Science Physics job involves using data science tools, such as statistical analysis, machine learning, and programming, to solve problems or analyze data related to physics, all while working from a remote location. Professionals in this field may work on projects like simulations, data modeling, or research for academic or industry settings. They apply their understanding of physics concepts alongside data science skills to extract meaningful insights from large and complex datasets. This role often requires proficiency in programming languages like Python or R, knowledge of data analysis techniques, and a strong foundation in physics.
What are the most commonly searched types of Data Science Physics jobs in Utah? The most popular types of Data Science Physics jobs in Utah are:
What are popular job titles related to Remote Data Science Physics jobs in Utah? For Remote Data Science Physics jobs in Utah, the most frequently searched job titles are:
What cities in Utah are hiring for Remote Data Science Physics jobs? Cities in Utah with the most Remote Data Science Physics job openings:
Infographic showing various Remote Data Science Physics job openings in Utah as of August 2026, with employment types broken down into 6% Internship, 75% Full Time, 13% Part Time, and 6% Contract. Highlights an 100% Remote job distribution.

Barrick Exploration - Remote Sensing Lead

Barrick Gold Corporation

Salt Lake City, UT • Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 9 days ago


Barrick Gold rating

7.8

Company rating: 7.8 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

10th of 41 rated mining


Job description

Position Description:

Would you like to have a career with a collaborative, diverse, and dynamic mining company? We have an exciting opportunity for you!

Our vision is to be the world's most valued gold mining business by finding, developing, and operating the best assets with the best people. Our Exploration division is growing, and we are looking for a Remote Sensing Lead to join our team!  The Remote Sensing Lead is responsible for designing, implementing, and advancing the use of satellite, airborne, and handheld hyperspectral data with geospatial information to support the discovery and evaluation of gold and copper deposits. This role provides technical leadership in acquisition, processing, interpretation, and integration of remote sensing datasets to identify prospective targets, reduce exploration risk, and enhance decision-making across exploration programs. Working closely with geology, geochemistry, geophysics, and field teams, the Remote Sensing Lead ensures that remote sensing insights are translated into actionable exploration decisions and strategies that accelerate target generation, optimize field campaigns, and support sustainable, cost-effective mineral exploration.

At Barrick, our vision is to be the world's most valued gold mining business by finding, developing, and operating the best assets with the best people. We are committed to a safe work environment sending every person home safe and healthy every day and leaving a sustainable legacy on our host communities. 

Responsibilities:

  • Lead the strategy, selection, and application of remote sensing/hyperspectral technologies to support gold and copper exploration programs across the North American Region with a focus on gold and copper opportunities.
  • Acquire, process, and interpret multispectral, hyperspectral, radar (SAR), LiDAR, and DEM datasets for geological, structural, alteration/mineralization, till and regolith mapping.
  • Develop and implement workflows for alteration mineral mapping (e.g., white mica, phyllosilicates, iron oxides, clays, carbonates, sulfates, etc.).
  • Provide technical support in the interpretation of products derived from remote sensing and handheld tools for the evaluation of drilling targets.
  • Provide technical leadership in GIS and spatial data management, ensuring data quality, consistency, and effective visualization for exploration teams and management.
  • Support regional and district-scale prospectivity analyses to identify new opportunities and prioritize exploration portfolios.
  • Assist in fieldwork to validate hypotheses generated by predictive models 
  • Guide field validation programs by translating remote sensing interpretations into actionable mapping and sampling strategies.
  • Responsible for field/hand sample hyperspectral data collection/solutions
  • Collaborate closely with regional and team geologists, geochemists, geophysicists, data scientists, and external consultants to ensure multidisciplinary integration and knowledge transfer.
  • Evaluate and implement emerging remote sensing technologies, analytics, and machine learning approaches to improve targeting efficiency and confidence.
  • Prepare technical reports, maps, and presentations that communicate results, uncertainties, and recommendations to both technical and non-technical stakeholders.
  • Mentor the exploration team, building internal capability and best practices across the region.
  • Comply with and enforce the Health and Safety System, promoting a culture of prevention based on visible, committed leadership.
  • Lead the strategy, selection, and application of remote sensing/hyperspectral technologies to support gold and copper exploration programs across the North American Region with a focus on gold and copper opportunities.
  • Acquire, process, and interpret multispectral, hyperspectral, radar (SAR), LiDAR, and DEM datasets for geological, structural, alteration/mineralization, till and regolith mapping.
  • Develop and implement workflows for alteration mineral mapping (e.g., white mica, phyllosilicates, iron oxides, clays, carbonates, sulfates, etc.).
  • Provide technical support in the interpretation of products derived from remote sensing and handheld tools for the evaluation of drilling targets.
  • Provide technical leadership in GIS and spatial data management, ensuring data quality, consistency, and effective visualization for exploration teams and management.
  • Support regional and district-scale prospectivity analyses to identify new opportunities and prioritize exploration portfolios.
  • Assist in fieldwork to validate hypotheses generated by predictive models 
  • Guide field validation programs by translating remote sensing interpretations into actionable mapping and sampling strategies.
  • Responsible for field/hand sample hyperspectral data collection/solutions
  • Collaborate closely with regional and team geologists, geochemists, geophysicists, data scientists, and external consultants to ensure multidisciplinary integration and knowledge transfer.
  • Evaluate and implement emerging remote sensing technologies, analytics, and machine learning approaches to improve targeting efficiency and confidence.
  • Prepare technical reports, maps, and presentations that communicate results, uncertainties, and recommendations to both technical and non-technical stakeholders.
  • Mentor the exploration team, building internal capability and best practices across the region.
  • Comply with and enforce the Health and Safety System, promoting a culture of prevention based on visible, committed leadership.
  • Comply with and enforce the provisions of the Code of Conduct, Anti-Bribery and Anti-Corruption Policy, Barrick's Human Rights Policy and the provisions of the legislation, especially the established processes regarding Conflicts of Interest, links and interactions with government officials, payments to government officials/entities, Vendor Onboarding and report any situation related to non-compliance with such instruments.
  • Comply with and enforce the policies and procedures of the Environmental Management System, as well as the commitments assumed by the Company in environmental matters; ensuring a culture of care for the Environment.
  • Comply with and enforce the policies and procedures of Community Relations, promoting respectful treatment towards local communities, ensuring a Culture of Community Development.

Qualifications:

  • Academic degree(s) in Geosciences (Geology, Geophysics, Geochemistry, Geography, Cartography), Remote Sensing, Geospatial Science, Environmental Science, or related field required 
  • Experience of at least 3 years[MN1] [LS2]  in leveraging remote sensing and hyperspectral data sets to gold and copper exploration tasks. Analysis of remote sensing and hyperspectral data to geospatial and geological information, preferably for mineral exploration and/or mining projects preferred 
  • Proven experience with remote sensing data processing and analysis required 
  • Proficiency with remote sensing software and tools (e.g., ENVI, ERDAS Imagine) required
  • Familiarity with multi- and hyperspectral satellite imagery (Sentinel, Landsat, ASTER, EnMap, etc.) and spectral analysis techniques preferred
  • Proficiency in programming languages such as Python or R and geospatial analysis platforms (ArcGIS, QGIS) preferred
  • Knowledge of Machine Learning and/or application of artificial intelligence to hyperspectral data sets preferred
  • Strong understanding of image processing, data analysis, and geospatial technologies preferred
  • Experience with GIS and spatial analysis techniques required  
  • Excellent analytical and communication skills required
  • Ability to work collaboratively with interdisciplinary teams required
  • Alignment to Barrick DNA required
  • Orientation to continuous learning required
  • High motivation for the achievement of objectives and especially for the achievement of discoveries required
  • Strong analytical, communication, and interdisciplinary collaboration skills required
  • Travel: Availability for occasional trips to projects, based on campaign planning required

What We Can Offer You  

  • A comprehensive compensation package including a competitive medical, dental, and vision plan with national provider networks, a 401k retirement plan with employer contribution, paid time off, company-sponsored medical clinics, company match share purchase program, and much more!
  • Work in a dynamic, collaborative, progressive, and high-performing team.
  • Opportunities to grow and learn with the industry colleagues are endless.
  • Access to a variety of career opportunities across the organization.
  • Barrick is committed to creating a diverse environment and is proud to be an equal opportunity employer.

    #LI-JB1

    #Barrick


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