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Data Science Jobs in Highlands Ranch, CO (NOW HIRING)

Deloitte

Lead AI and Data Science Engineer II

Denver, CO

$105K - $139K/yr

Lead AI and Data Science Engineer II Drive the design and delivery of advanced analytics, artificial intelligence (AI), and generative artificial intelligence (GenAI) solutions that inform Talent ...

Thaloz

CO - Sr. Data Scientist - 229

Denver, CO · On-site

This hands-on senior role sits at the intersection of Data Science, Machine Learning, and Product. You will partner with Engineering, Product, Risk, and Finance to turn ambiguous problems into ...

New

Vertafore

Sr. Data Scientist

Denver, CO · On-site

... science and AI solutions. o Source, evaluate, and integrate internal and external data assets. · Machine Learning & AI Development o Design, develop, evaluate, and deploy machine learning models ...

Cymertek

Data Scientist

Aurora, CO · On-site

DEGREE (Level Desired) Bachelor's Degree DEGREE (Focus) Computer Science, Data Science, Statistics, Mathematics, Applied Mathematics, Engineering, Economics, Physics, Operations Research, Information ...

Cymertek

Data Scientist

Aurora, CO · On-site

DEGREE (Level Desired) Bachelor's Degree DEGREE (Focus) Data Science, Computer Science, Statistics, Mathematics, Artificial Intelligence, Machine Learning, Information Systems, Operations Research ...

Ra

Data Scientist

Denver, CO

You are powerful in data science, business reporting, and statistical analysis. * You are proficient in Business Intelligence and Reporting. * You are an expertise with R, SAS, SPSS. * You have ...

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Showing results 41-60

All JobsData Science JobsData Science Jobs in Highlands Ranch, CO

Data Science information

See Highlands Ranch, CO salary details

$39.4K

$128.8K

$206.2K

How much do data science jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data science in Highlands Ranch, CO is $128,828.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,400.00 and $142,700.00 per year, depending on experience, location, and employer.

Is a data scientist in high demand?

Yes, data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

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

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.
More about Data Science jobs
What are the most commonly searched types of Data Science jobs in Highlands Ranch, CO? The most popular types of Data Science jobs in Highlands Ranch, CO are:
What are popular job titles related to Data Science jobs in Highlands Ranch, CO? For Data Science jobs in Highlands Ranch, CO, the most frequently searched job titles are:
What cities near Highlands Ranch, CO are hiring for Data Science jobs? Cities near Highlands Ranch, CO with the most Data Science job openings:
Data Science jobs near you
Infographic showing various Data Science job openings in Highlands Ranch, CO as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $128,828 per year, or $61.9 per hour.

Adjunct Faculty, Data Science

University of Denver

Denver, CO • On-site

$6.0K/wk

Full-time

Re-posted 2 days ago

University Of Denver rating

8.6

Company rating: 8.6 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

67th of 616 rated colleges and universities

Job description

Adjunct Faculty, Data Science

Apply now Job no: 498191
Work type: Adjunct Faculty
Location: Denver, CO
Categories: Faculty
Division: Ritchie School of Eng & Comp Sci

This is a general posting that will serve to create a pool of applicants for adjunct faculty openings throughout the 2025-2026 academic year. Should we have an opening and be interested in pursuing your application, we will contact you with specific information.

Department Summary

The Department of Computer Science (CS) at the Ritchie School of Engineering and Computer Science at the University of Denver is currently accepting applications for adjunct instructors for online and in-person courses.

For more information about our department and programs, please visit:

https://ritchieschool.du.edu/academics-education/departments/computer-science 
Position Summary

Adjunct faculty in the Data Science graduate program are subject matter experts in their field and integrate professionally relevant, diverse examples into their teaching and discussions. They meet the following expectations: 

  • Prepare and facilitate course lectures and learning online or in-person.
  • Maintain weekly office hours and consistent presence in assigned course(s).
  • Model and promote critical thinking as well as skill development.
  • Provide specific, relevant, timely feedback and grading.
  • Model and uphold academic standards and practices. 

Required Qualifications

  • MS. Degree in Computer Science or related field and/or professional relevant experience.
  • Content knowledge of assigned courses 

Preferred Qualifications

  • Experience teaching a the University level to undergraduate or graduate students
  • Experience mentoring students
  • Experience working with the required programming languages for relevant courses

Work Schedule

Work schedule will depend on the courses taught.

While the University's administrative offices are open Monday - Friday, 8:00 am - 4:30 pm, faculty schedules vary from term to term and are based on courses taught, service commitments, and research agendas. The University's academic calendars are posted on the registrar's website (the law school is on a semester system and has a different academic calendar).

Application Deadline

Applications are currently being accepted and reviewed for the 2025-2026 academic year.

Special Instructions

Candidates must apply online through jobs.du.edu to be considered. Only applications submitted online will be accepted. 

Course Rate

The course rate for this position is $6,067 per course on a 10-week term.

The University of Denver has provided a compensation range that represents its good faith estimate of what the University may pay for the position at the time of posting. The University may ultimately pay more or less than the posted compensation range. The salary offered to the selected candidate will be determined based on factors such as the qualifications of the selected candidate, departmental budget availability, internal salary equity considerations, and available market information, but not based on a candidate's sex or any other protected status

Benefits

The University of Denver offers some benefits for non-benefited employees. The University of Denver is a private institution that empowers students who want to make a difference. Learn more about the University of Denver.

Please include the following documents with your application:

  1. Curriculum Vitae
  2. Cover Letter

The University of Denver is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including sex stereotypes, sex characteristics, sexual orientation, gender identity, and gender expression), marital, family, or parental status, pregnancy or related conditions, national origin, disability, or status as a protected veteran. The University of Denver does not discriminate and prohibits discrimination on the basis of race, color, national origin, ancestry, age, religion, creed, disability, sex (including sex stereotypes, sex characteristics, sexual orientation, gender identity, and gender expression), marital family, and parental status, pregnancy, genetic information, military enlistment, or veteran status, and any other class of individuals protected from discrimination under federal, state, or local law, regulation, or ordinance in any of the University's educational programs and activities, and in the employment (including application for employment) and admissions (including application for admission) context, as required by Title IX of the Education Amendments of 1972; the Americans with Disabilities Act; Section 504 of the Rehabilitation Act of 1973; Title VI and VII of the Civil Rights Act of 1964; the Age Discrimination Act of 1975; the Age Discrimination in Employment Act of 1967; the Equal Pay Act; the Colorado Equal Pay for Equal Work Act; the Colorado Protecting Opportunities and Worker's Rights ("POWR") Act; and any other federal, state, and local laws, regulations, or ordinances that prohibit discrimination, harassment, and/or retaliation. For more information, please see the University of Denver's NonDiscriminationStatement.

All offers of employment are contingent upon satisfactory completion of a criminal history background check.

Advertised: August 11, 2025
Applications close:

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About University of Denver

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The University of Denver (DU) is a private research institution situated in Denver, Colorado, United States. Operating within the higher education industry, the university provides a wide range of undergraduate and postgraduate academic programs across various disciplines, including arts, humanities, business, law, and social sciences. Founded in 1864, just a few years after the city of Denver itself was founded, the university’s rich history is characterized by its commitment to the public good. Its mission is to provide top-tier education that promotes holistic student development, innovative scholarship, and inclusive community engagement. Among its notable achievements, DU boasts a substantial network of accomplished alumni, including former U.S. Secretary of State Condoleezza Rice.

Industry

Colleges, universities, and professional schools

Company size

1,001 - 5,000 Employees

Headquarters location

Denver, CO, US

Year founded

1864

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