What Jobs are available for Data Analysis in Salt Lake City?

Our client, a global leader in resource exploration and management, is seeking a highly experienced Senior Geologist specializing in remote sensing and advanced data analysis to join their fully remote team. This position offers the unique opportunity to work from anywhere, contributing to critical geological surveys and resource assessments using cutting-edge technology. The ideal candidate will have a profound understanding of geological principles, extensive experience with various remote sensing platforms, and a strong aptitude for complex data interpretation and modeling.

Key Responsibilities:

• Develop and implement strategies for geological data acquisition and analysis using satellite imagery, LiDAR, hyperspectral sensors, and other remote sensing technologies.
• Process, interpret, and integrate large geological datasets from diverse sources, including geophysical surveys, well logs, and geochemical analyses.
• Utilize advanced analytical techniques and software (e.g., GIS, Python, R, machine learning algorithms) to identify and characterize mineral deposits, geological structures, and subsurface features.
• Create detailed geological maps, cross-sections, and 3D models to support exploration, resource estimation, and mine planning activities.
• Collaborate with a global team of geologists, geophysicists, and data scientists to provide critical insights and recommendations.
• Prepare comprehensive technical reports, presentations, and summaries of findings for internal stakeholders and external partners.
• Evaluate and recommend new technologies and methodologies to enhance geological surveying and data analysis capabilities.
• Contribute to project planning, budgeting, and risk assessment for geological exploration programs.
• Ensure data quality, accuracy, and integrity throughout all stages of the analytical process.
• Mentor junior geologists and data analysts, fostering a culture of technical excellence and innovation.
• Stay current with advancements in geological sciences, remote sensing, and data analytics relevant to the mining and exploration industry.

Qualifications:

• Master's degree or Ph.D. in Geology, Earth Sciences, or a related field with a strong focus on remote sensing and/or data science.
• Minimum of 8-12 years of relevant professional experience in geological exploration, data analysis, and remote sensing applications.
• Demonstrated expertise in processing and interpreting various types of remote sensing data (e.g., optical, radar, LiDAR, thermal).
• Proficiency in GIS software (e.g., ArcGIS, QGIS) and scripting languages such as Python or R for data manipulation and analysis.
• Experience with geological modeling software and databases.
• Strong understanding of mineral systems, structural geology, and sedimentary environments.
• Excellent analytical, problem-solving, and critical thinking skills.
• Superior written and verbal communication skills, with the ability to convey complex technical information effectively.
• Proven ability to work independently and collaboratively in a remote team setting.
• Experience in the mining or oil and gas industry is highly desirable.
• Must possess a reliable internet connection and a dedicated home office setup suitable for remote work.

This is a fully remote position, offering flexibility and the chance to make a significant impact on geological understanding and resource management from anywhere in the world.

Our client, a pioneering force in the global mining industry, is seeking a highly experienced Principal Geologist with expertise in remote sensing and advanced data analysis to join their fully remote team. This role is crucial for identifying and evaluating potential mineral resource deposits across diverse geological terrains worldwide. The successful candidate will leverage state-of-the-art satellite imagery, aerial photography, and other geospatial data sources to map geological structures, identify alteration zones indicative of mineralization, and assess resource potential. You will be responsible for the end-to-end workflow, from data acquisition and processing to sophisticated analytical interpretation and reporting. This involves utilizing advanced geological software, GIS platforms, and potentially machine learning algorithms to extract meaningful insights from vast datasets. You will collaborate closely with exploration geologists, geophysicists, and metallurgists in a remote setting, providing critical geological intelligence to guide exploration strategies and reduce exploration risk. The ability to communicate complex geological concepts clearly and concisely, both verbally and in written reports, is paramount. This position demands a deep understanding of structural geology, mineralogy, and exploration geochemistry, combined with exceptional technical proficiency in remote sensing techniques and data science principles. You will contribute significantly to the company's exploration pipeline, driving the discovery of valuable mineral assets. This is an opportunity to work on challenging projects without geographical constraints, contributing to the future of resource discovery from anywhere in the world.

Qualifications:

• Master's or Ph.D. in Geology, Earth Sciences, or a related field.
• Minimum of 10 years of progressive experience in mineral exploration geology.
• Extensive expertise in applying remote sensing techniques (e.g., ASTER, Sentinel, Landsat) to geological mapping and mineral exploration.
• Proficiency in GIS software (e.g., ArcGIS, QGIS) and image processing software (e.g., ERDAS IMAGINE, ENVI).
• Strong understanding of structural geology, mineral systems, and deposit modeling.
• Experience with data analysis and statistical modeling in a geological context.
• Familiarity with machine learning applications in exploration is a strong asset.
• Excellent written and verbal communication skills, capable of producing high-quality technical reports.
• Proven ability to work independently and collaboratively in a remote team environment.
• Strong project management and critical thinking skills.

**Job Description**
**Work Arrangement**
**Remote:** This role is categorized as remote. This means the successful candidate may be based anywhere in the United States and is not expected to report to a GM worksite unless directed by their manager.
**Company Vehicle:** Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
**The Role**
The Lead Data Science Statistician - AV Safety Data Analysis will drive the statistical methods used to development and evaluation of autonomous vehicle (AV) performance safety metrics ranging from straightforward to advanced machine learning outputs. This position is part of the Safety Assurance for Effective Autonomous Driving Software (SAFE-ADS) department in the Global Product Safety, System, and Certification (GPSSC) organization. The SAFE-ADS department serves as the central body for automated driving system (ADS) safety. GM's vision is zero crashes, zero emissions, and zero congestion - AV safety is at the heart of driving forward this vision. If you seek to solve complex data science challenges and see your work drive positive safety change, this role is for you.
The ideal candidate will be an expert in data science, statistical modeling, and data development across the entire data maturity curve. They will have experience in automative, safety, and/or robotic industries and understand how to integrate physics and engineering into the foundational statistical methods and approaches. The technical leader is a self-starter and comfortable solving ambiguous problems. They are passionate about data and creating valuable insights that drive continuous safety improvements and confidence in the system.
As a technical leader in the SAFE-ADS data science team, you will provide robust statistical expertise and guidance, weigh alternatives, and explain the different approaches to senior leaders. You will address safety assurance related questions related to ADS behavioral performance and validation. This role involves working with large-scale data generated by the ADS system. One of the key elements is to scale data science work and accelerating time-to-delivery in insights which requires the integration of physics and engineering principles. As a leader, you'll play a key role in defining and advancing GM's AV quantitative measurement and risk assessment efforts. Your work will contribute to enhancing and scaling our existing safety risk assessment framework and help to ensure coverage of our operational design domain, foundational components of the overall safety case that guides decision-making and drives engineering across the entire AV technology stack.
**What You'll Do (Responsibilities)**
+ Develop and standardize best practices of statistical estimations and uncertainty model for use in ADS safety risk assessment framework
+ Work with the team to develop and implement scalable ADS performance measurement solutions to help ensure safe and compliant on-road behavior and build confidence in the results
+ Use an iterative method of development to share early results, identify emerging risks, and provide ongoing guidance
+ Assess bias estimation and subsampling strategies used by system engineering
+ Support Data Engineering and Software & Services (S&S) in the develop and automate pipelines and tooling of the measurement and risk framework
+ Conduct statistical analysis to evaluate ADS driving software aggregate measures
+ Raise the bar for on-road safety by continuously improving safety and AV measurement, and developing a feedback loop for software improvements
+ Collaborate across various AV development teams, including GPSSC, S&S, Data Engineering, and Legal organizations
+ Stay up to date on industry trends and advancements in data science and AI/ML to drive innovation within the team and cross-functionally
**This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate**
**Your Skills & Abilities (Required Qualifications)**
+ M.S. degree in quantitative discipline (statistics, operations, biostatistics, econometrics, or other relevant degree.)
+ 8+ minimum years of overall relevant experience, 5 years of which should be experience as a Data Scientist and/or Statistician in a corporate or government setting
+ Expertise in statistical modeling, machine learning and/or deep learning techniques
+ Prior experience with causal inference using instrumented variables and other forms of multifactor attribution methods
+ Expertise generating insights from multiple large-scale datasets
+ Proficiency in SQL and Python
+ Experience with data visualization tools and techniques
+ Collaborative team player and excellent communication and interpersonal skills, with ability to engage effectively with technical and non-technical stakeholders
+ Strong business consulting skills; ability to evaluate the big picture and solve strategic business problems
**What Will Give You a Competitive Edge** **(Preferred Qualifications)**
+ PhD in a quantitative discipline (statistics, operations, biostatistics, econometrics, or other relevant degree.)
+ Experience in safety, automotive, or robotics data science is preferred
**Compensation:**
+ The expected base compensation for this role is $160,200- $245,400 USD Annually
+ Actual base compensation within the identified range will vary based on factors relevant to the position
+ Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance
**Benefits:**
GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
**About GM**
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
**Why Join Us**
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
**Benefits Overview**
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards Resources ( .
**Non-Discrimination and Equal Employment Opportunities (U.S.)**
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire ( .
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We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about:
**Our Company ( Culture**
**How we hire ( diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility.
Explore our global locations ( are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's Talent Community (beamery.com) ( . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more.
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The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Our client, a forward-thinking analytics firm, is seeking motivated Graduate Trainees to join their data analysis team in a fully remote capacity. This is an exceptional opportunity for ambitious graduate students to gain hands-on experience in data manipulation, statistical analysis, and predictive modeling. The program is designed to provide comprehensive training and mentorship, allowing participants to develop critical skills applicable to a wide range of industries. This role is perfect for individuals who are eager to learn, problem-solve, and contribute to impactful data-driven projects from anywhere.

Responsibilities:

• Assist senior data analysts in collecting, cleaning, and preparing large datasets for analysis.
• Perform statistical analysis and explore data trends under the guidance of experienced mentors.
• Develop and implement basic predictive models using statistical software.
• Visualize data through charts, graphs, and dashboards to communicate insights effectively.
• Contribute to the documentation of data sources, methodologies, and findings.
• Participate in team meetings, providing updates on assigned tasks and raising any challenges encountered.
• Learn and apply various data analysis tools and programming languages such as Python, R, and SQL.
• Assist in generating reports and presentations summarizing analytical results.
• Collaborate with team members on ad-hoc data requests and projects.
• Gain exposure to different business problems and understand how data analysis provides solutions.

Qualifications:

• Currently pursuing or recently completed a Master's or Ph.D. degree in Statistics, Data Science, Mathematics, Economics, Computer Science, or a related quantitative field.
• Strong understanding of statistical concepts and analytical principles.
• Familiarity with programming languages commonly used in data analysis (e.g., Python, R, SQL).
• Excellent analytical and problem-solving skills.
• Strong attention to detail and accuracy.
• Good communication skills, both written and verbal.
• Ability to work independently and manage time effectively in a remote setting.
• Eagerness to learn and adapt to new technologies and methodologies.
• A passion for data and uncovering insights.

This internship is based in Salt Lake City, Utah, US , but conducted entirely remotely, offering flexibility and a chance to build a strong foundation in data analysis.