4 Data Analysis jobs in Boulder

Our client is seeking a highly skilled and innovative Agronomist specializing in remote sensing and data analysis to join their pioneering agricultural technology team. This fully remote position allows you to leverage cutting-edge technologies to revolutionize agricultural practices and enhance crop yields. You will be instrumental in utilizing satellite imagery, drone data, and other geospatial information to monitor crop health, soil conditions, and environmental factors. The ideal candidate possesses a strong background in agronomy coupled with expertise in GIS software, remote sensing techniques, and advanced data analytics.

Key responsibilities include acquiring, processing, and analyzing large datasets from various remote sensing platforms. You will develop and implement algorithms and models to identify patterns, predict crop performance, and detect anomalies such as disease outbreaks or nutrient deficiencies. Your work will directly inform precision agriculture strategies, helping farmers make more informed decisions regarding irrigation, fertilization, and pest management. You will collaborate closely with agricultural scientists, data scientists, and software engineers to integrate your findings into user-friendly platforms and decision-support tools. Communicating complex technical information to a diverse audience, including farmers and stakeholders, will be a key aspect of the role. This position requires a proactive, self-motivated individual who thrives in a remote work environment and is passionate about applying technology to solve critical challenges in agriculture. Experience with machine learning and AI applications in agriculture is highly desirable. Your contributions will be vital in driving sustainable and efficient agricultural practices on a global scale. This role offers the unique opportunity to make a significant impact on the future of farming through advanced technological solutions.

Responsibilities:

• Acquire, process, and analyze remote sensing data (satellite, drone, aerial imagery).
• Develop and implement GIS-based analytical models for agricultural applications.
• Monitor crop health, growth, and yield using remote sensing techniques.
• Identify and map soil conditions, nutrient levels, and water stress.
• Detect and analyze patterns related to pest infestations, diseases, and environmental factors.
• Develop predictive models for crop performance and risk assessment.
• Integrate remote sensing data with other agricultural datasets (e.g., weather, soil samples).
• Create informative maps, visualizations, and reports for stakeholders.
• Collaborate with data scientists and agricultural experts to refine analytical methods.
• Communicate technical findings to both technical and non-technical audiences.
• Contribute to the development of precision agriculture tools and platforms.
• Stay current with advancements in remote sensing, GIS, and agricultural technology.
• Ensure data quality, integrity, and accuracy throughout the analysis process.
• Support the design and implementation of field trials and validation studies.

Qualifications:

• Master's or Ph.D. in Agronomy, Soil Science, Geography, Environmental Science, or a related field with a strong focus on remote sensing and GIS.
• 3+ years of experience in applying remote sensing and GIS techniques to agricultural challenges.
• Proficiency in GIS software (e.g., ArcGIS, QGIS) and remote sensing software (e.g., ERDAS Imagine, ENVI).
• Experience with programming languages for data analysis (e.g., Python, R) and relevant libraries (e.g., GDAL, Rasterio, Geopandas).
• Strong understanding of agricultural principles, crop physiology, and soil science.
• Experience with analyzing various types of remote sensing data (e.g., multispectral, hyperspectral, thermal).
• Knowledge of machine learning and AI techniques applied to geospatial data analysis is a plus.
• Excellent analytical, problem-solving, and data interpretation skills.
• Strong communication and presentation skills, with the ability to convey complex information clearly.
• Ability to work independently and manage projects effectively in a remote setting.
• Must be authorized to work in the United States.

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 ( .

Accommodations

General Motors 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 or call 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.

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 (

Our Culture

How we hire? (

Our 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 (

We 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.

Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click "Apply Now" on the job posting of interest.

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.

**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 ( .
**Accommodations**
General Motors 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 or call 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.
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.
Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click "Apply Now" on the job posting of interest.
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.