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Masters In Statistics Jobs in Colorado (NOW HIRING)

Inotiv

In Vitro Manager

Boulder, CO · On-site

Masters in Biology, Molecular Biology, Cell Biology, Biochemistry, or a related discipline * >10 ... Excellent computer skills, as demonstrated by proficiency with Microsoft Office and statistical ...

Inotivco

In Vitro Manager

Boulder, CO

Masters in Biology, Molecular Biology, Cell Biology, Biochemistry, or a related discipline * >10 ... Excellent computer skills, as demonstrated by proficiency with Microsoft Office and statistical ...

DaVita, Inc.

FP&A Analyst

Denver, CO · On-site

Strong foundation in quantitative concepts (e.g. financial, statistical, forecasting, etc ... CFA, CPA) or advanced degree (e.g., Masters in Finance) preferred but not required * Familiarity ...

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All JobsMasters In Statistics JobsMasters In Statistics Jobs in Colorado

Masters In Statistics information

See Colorado salary details

$42.6K

$88K

$123K

How much do masters in statistics jobs pay per year?

As of Jul 23, 2026, the average yearly pay for masters in statistics in Colorado is $87,966.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,900.00 and $122,000.00 per year, depending on experience, location, and employer.

What jobs make $1,000,000 a year?

In the field of statistics, high-paying roles such as chief data officers, senior quantitative analysts, or data science executives can reach or exceed $1 million annually, especially in large corporations or financial firms. These positions typically require extensive experience, advanced skills in data modeling, and leadership responsibilities, often supplemented by bonuses and stock options.

Is a master's degree in statistics worth it?

A master's in statistics can enhance job prospects in data analysis, data science, and related fields, often leading to higher salaries and advanced roles. It provides skills in statistical software, programming, and data interpretation that are highly valued by employers. However, the value depends on career goals and industry demand for advanced quantitative expertise.

Are statisticians highly paid?

Statisticians with a master's in statistics often earn higher salaries than those with only a bachelor's degree, with median annual wages typically above the national average for all occupations. Salaries vary based on experience, industry, and location, but advanced skills in data analysis, programming, and statistical software can lead to higher compensation.

What can you do with a Master's in Statistics?

A Master's in Statistics opens up a wide range of career opportunities in various industries, including healthcare, finance, government, technology, and research. Graduates often work as data analysts, statisticians, biostatisticians, data scientists, or research scientists. They are responsible for collecting, analyzing, and interpreting data to help organizations make informed decisions. This degree also provides a strong foundation for pursuing doctoral studies or specialized roles in academia and industry.

What types of roles and industries typically hire professionals with a Master's in Statistics, and how do these roles differ in daily responsibilities?

A Master's in Statistics opens doors to a variety of roles across industries such as healthcare, finance, technology, government, and research institutions. For example, statisticians in healthcare may focus on designing clinical trials and analyzing patient outcomes, while those in finance might develop risk models or forecast market trends. In tech, statisticians often collaborate with data scientists and engineers to optimize algorithms or interpret large data sets. Daily responsibilities can range from data cleaning and analysis to presenting findings and advising stakeholders, with collaboration and communication being key across all sectors.

Is AI replacing statisticians?

AI is transforming the role of statisticians by automating data analysis tasks and enabling more complex modeling, but it does not replace the need for statistical expertise. Statisticians are essential for designing experiments, interpreting results, and ensuring data quality, often using tools like R or Python. Their skills remain valuable in developing, validating, and applying AI models across various industries.

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

To thrive as a Statistician, you need strong quantitative analysis skills, a solid foundation in probability and statistical theory, and typically a master's degree in statistics or a related field. Familiarity with statistical software such as R, SAS, or Python, and experience with data management systems are common technical requirements. Excellent problem-solving abilities, attention to detail, and clear communication skills help statisticians interpret data and explain results to non-experts. These skills are vital for providing accurate analyses that inform decision-making and drive research or business strategies.

What is the difference between Masters In Statistics vs Data Analyst?

AspectMasters In StatisticsData Analyst
Required CredentialsMaster's degree in Statistics or related fieldBachelor's or Master's degree in related fields like Business, Economics, or Computer Science
Work EnvironmentResearch, academia, data science teams in various industriesBusiness, finance, marketing departments, often in corporate settings
Industry UsageUsed in research, academia, specialized data science rolesApplied in business decision-making, reporting, and operational analysis

Masters In Statistics and Data Analyst roles share overlapping skills in data handling and analysis. However, a Masters In Statistics typically involves advanced statistical theory and research, preparing individuals for specialized or academic roles. Data Analysts focus on applying data skills to solve business problems, often with less emphasis on theoretical research. Both roles are vital in data-driven industries, but their focus and career paths differ.

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What cities in Colorado are hiring for Masters In Statistics jobs? Cities in Colorado with the most Masters In Statistics job openings:
Masters In Statistics jobs near you
Infographic showing various Masters In Statistics job openings in Colorado as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 19% Part Time, and 5% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $87,966 per year, or $42.3 per hour.
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 23 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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