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Phd In Statistics Jobs in Colorado (NOW HIRING)

A PhD in Physics or Nuclear Engineering. * Radiation transport experience (neutron, photon ... statistical analysis of experimental data. * Experience with any of the following computational ...

Lead AI Engineer (Camgian Labs)

Fort Collins, CO · On-site

$102K - $135K/yr

... computer engineering, statistics, applied mathematics, or a related field. • 7+ years of ... Preferred : • Master's or PhD in a relevant technical field. • Experience leading engineering ...

Lead AI Engineer (Camgian Labs)

Fort Collins, CO · On-site

$102K - $135K/yr

... computer engineering, statistics, applied mathematics, or a related field. • 7+ years of ... Preferred : • Master's or PhD in a relevant technical field. • Experience leading engineering ...

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Phd In Statistics information

What is the difference between Phd In Statistics vs Data Scientist?

AspectPhd In StatisticsData Scientist
Required CredentialsTypically a PhD in Statistics or related fieldOften a bachelor's or master's degree in a quantitative field; some roles prefer a PhD
Work EnvironmentAcademic, research institutions, or specialized analytics teamsCorporate, tech companies, or consulting firms
Industry UsageResearch, academia, government, and industry R&DBusiness analytics, product development, and data-driven decision making
Common Search & ComparisonYesYes

While a Phd In Statistics focuses on advanced research, theoretical development, and academic roles, Data Scientists apply statistical and machine learning techniques to solve practical business problems. Both roles require strong analytical skills, but Data Scientists often work in more applied, industry-focused environments, whereas PhD holders may pursue research or academic careers.

What can you do with a PhD in statistics?

A PhD in statistics prepares individuals for advanced roles in data analysis, research, and consulting across industries such as healthcare, finance, technology, and government. Graduates often work as data scientists, statisticians, quantitative analysts, or research scientists, utilizing skills in statistical modeling, programming, and data management. The degree also enables careers in academia and research institutions, often requiring proficiency in tools like R, Python, or SAS.

How much can you make with a PhD in statistics?

A PhD in statistics typically leads to high-paying roles such as data scientist, quantitative analyst, or research scientist, with salaries often ranging from $90,000 to over $150,000 annually depending on experience, industry, and location. Advanced skills in programming, statistical software, and data analysis increase earning potential in this field.

Is a PhD in statistics worth it?

A PhD in statistics can lead to advanced roles in research, data science, and academia, often requiring strong analytical and programming skills. While it offers high-level expertise and potential for higher salaries, it also involves significant time and financial investment, and job prospects depend on industry demand and individual specialization.

Is AI replacing statisticians?

AI is transforming the role of statisticians by automating routine data analysis tasks and enabling more complex modeling, but it does not replace the need for expert statistical judgment, interpretation, and domain knowledge. Statisticians are increasingly using AI tools and programming languages like R or Python to enhance their work, making their skills still essential in designing studies and ensuring data quality.
What are popular job titles related to Phd In Statistics jobs in Colorado? For Phd In Statistics jobs in Colorado, the most frequently searched job titles are:
Infographic showing various Phd In Statistics job openings in Colorado as of June 2026, with employment types broken down into 93% Full Time, 6% Part Time, and 1% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Senior AI Engineer (Camgian Labs)

Camgian Corporation

Fort Collins, CO • On-site, Remote

$103K - $142K/yr

Full-time

Posted 7 days ago


Job description

As a Senior Artificial Intelligence Engineer for Camgian Labs, our advanced R&D and rapid prototyping team, you will lead the design and development of AI/ML-powered prototypes that push the boundaries of innovation in space and missile defense. You'll collaborate with multidisciplinary teams to pioneer novel solutions and engage directly with customers and stakeholders to translate visionary concepts to impactful technologies. This role offers the opportunity to solve complex technical challenges, mentor junior engineers, and contribute to thought leadership and proposal development activities
Qualifications
  • Bachelor's degree in aerospace engineering, electrical engineering, computer science, computer engineering, statistics, applied mathematics, or a related field.
  • 5+ years of professional experience in AI/ML model validation and deployment.
  • Demonstrated proficiency in algorithm development and implementation using Python or similar programming languages.
  • Strong mathematical background and knowledge of AI, ML, and deep learning concepts.
  • Excellent written and verbal communication skills.
  • Experience interfacing with customers and stakeholders in technical environments.
  • Proficiency with revision control systems (such as Git), including branching, merging, and managing code repositories in a team setting.
  • Ability to work both independently and collaboratively in a team environment.
  • Experience collaborating effectively as a member of remote or hybrid project teams.
  • Ability to travel up to 10% of the time within the United States to support customer engagements and technical exchanges.
  • Eligibility to obtain or maintain a U.S. Government Security Clearance which requires U.S. citizenship.
Desired Skills
  • Master's or PhD in aerospace engineering, electrical engineering, computer science, computer engineering, statistics, applied mathematics, or a related field.
  • Experience with AI frameworks (e.g., TensorFlow, PyTorch, scikit-learn, OpenCV).
  • Familiarity with tools such as NumPy, SciPy, Pandas, Matplotlib.
  • Experience deploying AI models in cloud environments (e.g., AWS, Azure).
  • Strong analytical skills and creative problem-solving ability.
  • Understanding of Agile development methodology.
  • Experience with space domain awareness, satellite operations, or space operations.
Key Responsibilities
  • Conduct research and development of novel AI/ML concepts, algorithms, and techniques to advance space and missile defense capabilities.
  • Lead the design, development, and testing of scalable AI/ML software prototypes for space and missile defense using large-scale datasets.
  • Interface with customers and stakeholders to gather mission requirements, present technical solutions, and ensure project alignment.
  • Mentor and guide junior engineers, fostering a culture of technical excellence and collaboration.
  • Track project milestones and budgets, ensuring timely and quality outcomes.
  • Support proposal-writing activities and thought leadership opportunities.
  • Engage in continuous learning and professional development to stay at the forefront of AI/ML advancements, space domain technologies, and relevant emerging R&D trends.
Why Join Us?
  • Work on mission-critical projects that directly impact national security.
  • Collaborate with leading experts in AI, engineering, and data science.
  • Enjoy a dynamic, innovative, and inclusive team culture focused on continuous learning and experimentation.
  • Opportunities for professional growth and technical leadership.
About Camgian
  • Camgian's mission is to deliver advanced AI/ML solutions that accelerate decision-making in high-stakes environments. Our advanced R&D unit, Camgian Labs, is seeking a Senior AI Engineer to support the team's space and missile defense initiatives.