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Phd In Statistics Jobs in Colorado (NOW HIRING)

ZR Sandbox

Data Scientist

Boulder, CO · On-site

$130K - $160K/yr

Master's or PhD in Data Science, Statistics, or related field. * 5-8 years of data science experience. * Expertise in Python, SQL, and machine learning frameworks. * Strong analytical and ...

ICR, Inc.

Data Scientist - Aurora, CO

Aurora, CO

$100K - $210K/yr

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 ...

TIFIN

Lead, Quant AI Investments

Boulder, CO

$150K - $225K/yr

MS/PhD in a quantitative discipline (Financial Mathematics, Statistics, CS, Engineering, or similar) * 5-10+ years in quantitative investment research, portfolio optimization, or investment product ...

University of Colorado

Post-Doctoral Fellow

Aurora, CO · On-site

$49K - $67K/yr

... statistical analyses (Microsoft Excel/PRISM). * Established track record in abstract and manuscript writing/publishing. Preferred Qualifications: * PhD or MD/PhD in the field of virology ...

True Anomaly

Perception Engineer

Denver, CO · On-site

... statistical analysis to support algorithm characterization and verification • Test and verify ... S. Citizen and eligible for DoD Secret or TS/SCI clearance Preferred : • Master's or PhD in ...

Camgian

Senior AI Engineer (Camgian Labs)

Fort Collins, CO · On-site

$104K - $143K/yr

Preferred : • Master's or PhD in aerospace engineering, electrical engineering, computer science, computer engineering, statistics, applied mathematics, or a related field. • Experience with AI ...

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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 is the highest paying job with a statistics degree?

The highest paying jobs with a statistics degree often include roles such as data scientist, quantitative analyst, or actuarial scientist, with salaries exceeding $100,000 annually. Senior positions in finance, technology, or consulting firms tend to offer the highest compensation, especially for those with advanced skills in machine learning, programming, and statistical modeling.

How much can you make with a PhD in statistics?

A PhD in statistics can lead to high-paying roles such as data scientist, quantitative analyst, or research scientist, with salaries typically 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 getting a PhD in statistics worth it?

A PhD in statistics prepares individuals for advanced research, academia, and data science roles that require deep analytical skills and expertise in statistical methods. It can lead to higher-level positions and increased earning potential but involves significant time and financial investment. The decision depends on career goals and the demand for specialized statistical knowledge in the desired industry.

What can I do with PhD in statistics?

A PhD in statistics qualifies individuals for advanced roles such as data scientist, quantitative analyst, biostatistician, or research scientist. These positions often involve data analysis, modeling, and interpretation using statistical software like R or SAS, and may require collaboration across industries such as healthcare, finance, or technology.
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:
What job categories do people searching Phd In Statistics jobs in Colorado look for? The top searched job categories for Phd In Statistics jobs in Colorado are:
Phd In Statistics jobs near you
Infographic showing various Phd In Statistics job openings in Colorado as of July 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, 1% Temporary, and 4% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution.
Bayesian Statistician (Data Scientist) - Aurora, CO

Bayesian Statistician (Data Scientist) - Aurora, CO

ICR, Inc.

Aurora, CO

$78K - $236K/yr

Full-time

Medical, Retirement, PTO

Posted 28 days ago

Job description

Bayesian Statistician (Data Scientist)
Aurora, CO
Applications will be accepted on an ongoing basis.

ICR has opportunities available for experienced and motivated Data Scientists with a Bayesian statistics background.
Essential Job Responsibilities
This Data Scientist will be expected to:
  • Work independently on complex technical tasks that require in-depth data analysis methodologies and data/information collection
  • Develop unique technical solutions for applications in the intelligence field
  • Participate as a member of a multidisciplinary team to analyze and satisfy customer requirements
  • Develop, implement, validate, document, and present findings of specialized analysis software tools and models as required
  • Effectively handle concurrent technical tasks with conflicting priorities
  • Approach difficult problems with enthusiasm and creativity
  • Have the ability to change focus when necessary
  • Travel (up to 10%)

Required Skills and Qualifications
  • Active Top Secret Security Clearance with SSBI and SCI eligibility.
  • Experience with Bayesian statistics and time series analysis
  • Masters Degree in statistics with a minimum of Two (2) years of professional experience or PhD in statistics or related field
  • Experience with computational analysis tools and developing software with at least one of the following programing language: Python (preferred), R, C++, MATLAB
  • Experience with developing and applying advanced statistical/machine learning models and algorithms for one or more of the following: classification, clustering, anomaly detection, density estimation, data mining, pattern recognition, knowledge discovery
  • Experience with extracting and processing structured/unstructured data from various sources (e.g. databases, text files, web) and preparing data for analysis
  • Collaborate with others in a multidisciplinary team environment to accomplish research goals
  • Ability to work effectively in small-team settings to solve complex problems
  • Ability and desire to obtain substantial domain knowledge in fields of application and ability to communicate effectively with subject matter experts
  • Proficient verbal and written communication skills to collaborate effectively in a team environment and present and explain technical information to customers

Desired Qualifications
  • Experience with the intelligence community
  • Broad knowledge of statistical analysis, ML methods, and problem-solving skills
  • Experience with: spatial statistics, multivariate statistics, Gaussian Process, Random Forest, Support Vector Machine, Natural Language Processing, Neural Networks
  • Proficient with Python, Jupyter, Markdown
  • Experience working with databases such as SQL and/or ELK stack
  • Experience with creating data visualizations / dashboards
Salary Range: $90,000 - $210,000
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.

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