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

ICR, Inc.

Data Scientist - Aurora, CO

Aurora, CO

$78K - $236K/yr

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 ...

Fanatics Betting & Gaming

Data Scientist III

Denver, CO · On-site

$117K - $167K/yr

The role reports into the Decision Science Manager and will focus on creating insight to drive the ... Collaborate with Data Scientists and Analysts to implement and refine scalable solutions for ...

EchoStar

Data Scientist - AI Products

Englewood, CO

$126K - $208K/yr

Partner with stakeholders to identify high-impact, feasible opportunities for the AI Office and demonstrate how data science can drive business outcomes * Deliver production-ready machine learning ...

Fanatics Betting & Gaming

Data Scientist III

Denver, CO · On-site

$117K - $167K/yr

The role reports into the Decision Science Manager and will focus on creating insight to drive the ... Collaborate with Data Scientists and Analysts to implement and refine scalable solutions for ...

Department of Human Services

Data Scientist

Denver, CO · On-site

$108K/yr

Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is ...

AArete

Data Scientist

Denver, CO

Strong Python experience for data science, machine learning, model experimentation, automation, API integration, and production-quality analytical workflows * Solid AI/ML background with practical ...

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All JobsData Science Intern JobsData Science Intern Jobs in Highlands Ranch, CO

Data Science Intern information

See Highlands Ranch, CO salary details

$12

$23

$44

How much do data science intern jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for data science intern in Highlands Ranch, CO is $23.62, according to ZipRecruiter salary data. Most workers in this role earn between $18.17 and $25.72 per hour, depending on experience, location, and employer.

What types of projects can I expect to work on as a Data Science Intern, and how will I collaborate with other team members?

As a Data Science Intern, you can expect to work on a variety of projects such as data cleaning, exploratory data analysis, building predictive models, or assisting with data visualization tasks. You'll often collaborate closely with data scientists, engineers, and sometimes business analysts, participating in team meetings and brainstorming sessions. Interns are usually given clearly defined tasks that contribute to larger projects, allowing you to learn from experienced professionals while making a meaningful impact. Regular check-ins and mentorship are typical, providing you with feedback and professional growth opportunities throughout your internship.

What does a Data Science Intern do?

A Data Science Intern typically assists with collecting, cleaning, and analyzing data to support business decisions or research. They work under the supervision of experienced data scientists, helping to build and test predictive models, create data visualizations, and present findings. Interns often use programming languages such as Python or R, and tools like SQL, to manipulate data. The role is designed to provide hands-on experience with real-world data science projects and help interns develop technical and analytical skills.

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

To thrive as a Data Science Intern, you need a solid grasp of statistics, data analysis, and programming (often in Python or R), typically supported by coursework in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn or TensorFlow), and version control systems (like Git) is commonly expected. Strong problem-solving abilities, communication skills, and a willingness to learn help interns collaborate effectively and translate data insights for diverse audiences. These skills and qualities ensure that interns can contribute meaningfully to projects, adapt quickly, and bridge the gap between raw data and actionable business solutions.
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 job categories do people searching Data Science Intern jobs in Highlands Ranch, CO look for? The top searched job categories for Data Science Intern jobs in Highlands Ranch, CO are:
What cities near Highlands Ranch, CO are hiring for Data Science Intern jobs? Cities near Highlands Ranch, CO with the most Data Science Intern job openings:
Data Science Intern jobs near you
Infographic showing various Data Science Intern job openings in Highlands Ranch, CO as of June 2026, with employment types broken down into 92% Full Time, and 8% Part Time. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution, with an average salary of $49,131 per year, or $23.6 per hour.

Data Scientist

GARGI TECHNOLOGIES INC

Denver, CO

Other

Posted 18 days ago

Job description

Job Description:

Role: Data Scientist (Multiple Openings)

Location: Jersey City, NJ / Atlanta, GA / Tampa, FL / Raleigh, NC / Denver , CO

Job Type: Full Time


Job Description:

We are looking for a Data Scientist responsible for extracting insights from complex datasets and building data-driven solutions that drive business value. This includes everything from exploratory data analysis and statistical modeling to designing and deploying machine learning models in production. Your primary responsibility will be to design, develop, and deploy these models, and to coordinate with the rest of the team working on different layers of the data and analytics infrastructure. Thus, a commitment to collaborative problem solving, sound statistical reasoning, and delivering measurable business impact is essential.

Need Experience range in between 2-7 Years


Key Skill Requirements:

1. Strong knowledge of Python and/or R for data analysis, with hands-on experience using libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, and Keras.

2. Strong understanding of statistics, probability, hypothesis testing, A/B testing, and core ML concepts including regression, classification, clustering, ensemble methods (Random Forest, XGBoost), and neural networks.

3. Hands-on experience with end-to-end ML workflows including data wrangling, feature engineering, model training, hyperparameter tuning, evaluation, and deployment using Cloud Technologies (AWS SageMaker / Azure ML / Google Cloud Platform Vertex AI), MLflow, and Docker.

4. Strong experience with SQL and relational databases (MySQL, PostgreSQL), along with familiarity with big data tools (Spark, Hive) and data visualization libraries/tools (Matplotlib, Seaborn, Plotly, Tableau, or Power BI). Exposure to NLP, computer vision, or Generative AI / LLM frameworks is a plus.


Roles & Responsibilities:

1. Work closely with Team Leader, data engineers, product managers, and other team members to translate business requirements into analytical and machine learning solutions.

2. Get involved in the entire life-cycle including data exploration, model development, validation, deployment, and monitoring of models on the assigned delivery lines.

3. Do hands-on coding, build reproducible data pipelines, and perform rigorous model evaluation and testing.

4. Focus on clean, high-quality, well-documented code and follow established best practices in ML engineering and experimentation.

5. Learn new technologies and techniques in the rapidly evolving data science and AI space, implement them, and share learnings with other team members.

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