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Physics Data Analyst Jobs in Colorado (NOW HIRING)

Bachelors Degree in Mathematics, Physics, Statistics or related field. * Minimum five (5) years of ... Exceptional analytical skills and problem solving skills. * Willingness to learn new skills and ...

Data Engineer

Englewood, CO · On-site

$113K - $135K/yr

... Physics or a related field • Ability to travel up to 10% • Strong analytical abilities • US ... data environments and Streaming technologies like Kafka and Spark • Expertise in Scala and/or ...

Work with software engineers to implement physics-based analysis models into maintainable software ... data. * Strong written and verbal communication skills. * Demonstrated ability to take initiative ...

Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific ... physics, chemistry, biology, astronomy), or other science disciplines with a substantial ...

... physics, precision spectroscopy, optics, vacuum systems, electronics, cryogenics, or laser * Due to ... for data collection, signal processing, and data analysis * Excellent written and oral ...

... Physics, Data Science, Mechanical Engineering, Aerospace Engineering, Computational Biology ... Analysis, Scientific Computing, Statistics, Cyber-Physical Systems, etc. ALTERNATE EXPERIENCE ...

Data Science Engineer

Westminster, CO · On-site

$100K - $140K/yr

Integrate and maintain end-to-end analytical pipelines spanning observation processing, hypothesis ... Preferred Qualifications Experience with physics-informed ML or hybrid approaches that embed ...

Showing results 41-60

Physics Data Analyst information

See Colorado salary details

$35.8K

$86.9K

$143K

How much do physics data analyst jobs pay per year?

As of Aug 8, 2026, the average yearly pay for physics data analyst in Colorado is $86,898.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,700.00 and $102,000.00 per year, depending on experience, location, and employer.

What does a physics data analyst do?

A Physics Data Analyst collects, processes, and interprets large sets of data generated from physics experiments or simulations. They use statistical methods, programming, and specialized software to extract meaningful insights and support scientific research. Their work often involves cleaning data, identifying trends, creating visualizations, and collaborating with physicists to draw conclusions that can advance understanding in areas such as particle physics, astrophysics, or materials science.

What are the key skills and qualifications needed to thrive as a physics data analyst, and why are they important?

To thrive as a Physics Data Analyst, you need a solid background in physics, mathematics, and statistical analysis, often supported by a degree in physics or a related field. Proficiency with programming languages like Python or MATLAB, data visualization tools, and familiarity with statistical software and databases are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret complex datasets and share insights with diverse teams. These skills ensure accurate analysis, meaningful data-driven conclusions, and successful collaboration in research or industry environments.

What is the difference between Physics Data Analyst vs Data Scientist?

AspectPhysics Data AnalystData Scientist
Required CredentialsBachelor's or Master's in Physics, Data Analysis, or related fieldsBachelor's or Master's in Computer Science, Statistics, or related fields
Work EnvironmentResearch labs, scientific organizations, industry R&DTech companies, finance, healthcare, consulting
Employer & Industry UsageResearch institutions, aerospace, energyTech firms, finance, marketing
Common Search & ComparisonPhysics Data Analyst vs Data Scientist

The main difference between a Physics Data Analyst and a Data Scientist lies in their focus and industry. Physics Data Analysts typically work in research or scientific environments, applying physics principles to analyze data. Data Scientists have a broader scope, often working across industries like tech, finance, and healthcare, utilizing advanced statistical and machine learning techniques. Both roles require strong analytical skills, but their applications and work settings differ.

What are some common challenges physics data analysts face when interpreting experimental data?

Physics Data Analysts often work with large, complex datasets that may contain noise or inconsistencies due to experimental limitations. One common challenge is accurately distinguishing between meaningful patterns and random fluctuations, which requires strong statistical knowledge and experience with data-cleaning techniques. Additionally, analysts must frequently collaborate with physicists and engineers to understand the context of the data and ensure proper interpretation, making strong communication skills important. Overcoming these challenges involves continually updating technical skills and staying current with best practices in both physics and data analysis.
What are popular job titles related to Physics Data Analyst jobs in Colorado? For Physics Data Analyst jobs in Colorado, the most frequently searched job titles are:
What cities in Colorado are hiring for Physics Data Analyst jobs? Cities in Colorado with the most Physics Data Analyst job openings:
Infographic showing various Physics Data Analyst job openings in Colorado as of June 2026, with employment types broken down into 79% Full Time, 17% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $86,898 per year, or $41.8 per hour.

Data Scientist - Aurora, CO

ICR, Inc.

Aurora, CO

$100K - $210K/yr

Full-time

Medical, Retirement, PTO

Re-posted 24 days ago


Job description

Data Scientist
Aurora, CO
Applications will be accepted on an ongoing basis.
ICR has opportunities available for experienced and motivated Data Scientists.
Required Skills and Qualifications
  • Active Top Secret Security Clearance with SSBI and SCI access.
  • Bachelors Degree in Mathematics, Physics, Statistics or related field.
  • Minimum five (5) years of professional software / algorithm development.
  • Experience with software development lifecycle and use of associated tools.
  • Proficient in Python, R, Matlab, Lua, or other data science-centric programming language.
  • Mathematical knowledge of optimization, multi-variate calculus, probability amp; statistics, linear algebra, and numerical methods.
  • Knowledge of supervised and unsupervised machine learning concepts, such as Artificial Neural Networks, SVMs, Random Forests, Gaussian Processes, and other techniques.
  • Knowledge of common data visualization technologies, such as matplotlib, bokeh, d3, or Matlab.
  • Exceptional analytical skills and problem solving skills.
  • Willingness to learn new skills and technologies and exit “comfort zone”.
  • Good organization, decision making, and verbal and written communication skills.
  • High level of self-initiative and self-motivation with the ability to work under minimal supervision.
  • Ability to work effectively in small team settings to solve complex problems.
Preferred Skills and Qualifications
  • Experience with Deep Learning technologies such as Caffe, Theano, TensorFlow, or Neon.
  • Bayesian Statistics.
  • Proficient C/C++.
  • Big Data technologies such as Hadoop MapReduce, HDFS, Apache Spark, Apache Storm, ELK Stack.
  • Masters Degree or PhD in Mathematics, Physics, Statistics, Computer Science, or Data Science.
Salary Range: $100,000 - $210,000 (based on experience and meeting requirements)
This position offers a comprehensive benefits package that includes company equity, retirement plan, company-paid health care benefits, flexible paid time off policy, and opportunity for a raise and bonus during the year.
ICR, Inc. considers several factors when extending job offers, including but not limited to candidates’ key skills, relevant work and/or military experience, education, training, certifications and work location.
ICR is proud to be an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor.