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Data Science Teaching Assistant Jobs in Colorado

Garmin Ltd.

Data Scientist 1

Louisville, CO · On-site

$85 - $115/hr

Experiment with and evaluate new data science techniques, algorithms, and tools * Coordinate with ... and business initiatives * Assist in project definition activities and help set business ...

NuView Analytics

Senior Data Analyst

Denver, CO · Remote

$90K - $120K/yr

... and teaching junior team members best practices and techniques * Ability to process data objectively and efficiently * Intellectually curious about new data tools and data analytics/science ...

NuView

Senior Data Analyst

Denver, CO · On-site +1

$90K - $120K/yr

... and teaching junior team members best practices and techniques * Ability to process data objectively and efficiently * Intellectually curious about new data tools and data analytics/science ...

Sovrn

Senior/Staff Data Scientist

Boulder, CO · On-site

... assistants, orchestration frameworks, and search-augmented workflows in ways that accelerate prototyping and reduce iteration cycles. * Experience in data science and applied machine learning, with a ...

Sovrn

Senior/Staff Data Scientist

Boulder, CO

... assistants, orchestration frameworks, and search-augmented workflows in ways that accelerate prototyping and reduce iteration cycles. * Experience in data science and applied machine learning, with a ...

New

JBS USA

PEOPLE DATA SCIENTIST

Greeley, CO · On-site

... assist leadership in determining policy. * Communicate complex concepts to all levels and areas of ... data science role. * A bachelor's degree in a quantitative field (economics, statistics ...

JBS USA

PEOPLE DATA SCIENTIST

Greeley, CO · On-site

... assist leadership in determining policy. * Communicate complex concepts to all levels and areas of ... data science role. * A bachelor's degree in a quantitative field (economics, statistics ...

USAA

Data Scientist Senior

Colorado Springs, CO · On-site

These efforts will encompass exploring AI solutions that serve as intelligent work assistants ... Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial ...

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All JobsData Science Teaching JobsData Science Teaching Assistant JobsData Science Teaching Assistant Jobs in Colorado

Data Science Teaching Assistant information

What skills and qualifications are needed to be a data science teaching assistant?

To thrive as a Data Science Teaching Assistant, you need a solid understanding of data science concepts, programming (especially Python or R), statistics, and often a relevant degree or coursework. Familiarity with tools such as Jupyter Notebooks, data visualization libraries, and version control systems like Git is typically required. Strong communication, patience, and the ability to explain complex topics clearly are standout soft skills in this role. These skills enable effective student support, reinforce learning outcomes, and contribute to a positive educational environment.

What challenges do data science teaching assistants face when supporting student learning, and how can they be addressed?

Data Science Teaching Assistants often encounter challenges such as explaining complex concepts in accessible ways, managing diverse student skill levels, and providing timely feedback on assignments. To address these challenges, it's important to use clear examples, encourage open communication, and adapt explanations to different learning styles. Collaborating closely with course instructors and leveraging office hours or online discussion forums can also help TAs support students more effectively and ensure no one falls behind.

What is a data science teaching assistant?

Data Science Teaching Assistants (TAs) support instructors and students in data science courses or bootcamps. They help clarify complex concepts, assist with coding exercises, answer student questions, and sometimes grade assignments or provide feedback. TAs often have a strong foundation in programming, statistics, and data analysis, and they play a key role in enhancing the learning experience. Their involvement can range from leading small group sessions to providing one-on-one help during office hours.

How to become a data science teaching assistant?

To become a data science teaching assistant, candidates typically need a strong background in data science, statistics, or related fields, along with proficiency in programming languages like Python or R. Relevant experience with data analysis, machine learning, and teaching or mentoring skills are also important, and some positions may require a graduate degree or coursework in data science or education. Gaining experience through internships, projects, or assisting in courses can improve prospects for this role.

What is the difference between Data Science Teaching Assistant vs Data Analyst?

AspectData Science Teaching AssistantData Analyst
Required CredentialsOften a degree in data science, statistics, or related field; familiarity with data toolsDegree in statistics, data analysis, or related field; proficiency in data tools
Work EnvironmentEducational settings, labs, online coursesBusiness, corporate, or research environments
Employer & Industry UsageUniversities, online education platformsCorporations, consulting firms, government agencies
Common Search & Comparison IntentUnderstanding teaching roles in data science educationUnderstanding data analysis tasks and roles

While both roles involve working with data and require similar technical skills, a Data Science Teaching Assistant primarily supports educational activities, assisting instructors and students in learning data science concepts. In contrast, a Data Analyst focuses on analyzing data to generate insights for business decisions. The roles differ mainly in their work environment and primary objectives, though they share foundational data skills.

What are popular job titles related to Data Science Teaching Assistant jobs in Colorado? For Data Science Teaching Assistant jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Data Science Teaching Assistant jobs in Colorado look for? The top searched job categories for Data Science Teaching Assistant jobs in Colorado are:
What cities in Colorado are hiring for Data Science Teaching Assistant jobs? Cities in Colorado with the most Data Science Teaching Assistant job openings:
Data Science Teaching Assistant jobs near you
Infographic showing various Data Science Teaching Assistant job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Scientist 3 with Security Clearance

GRVTY

Colorado Springs, CO • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

What You'll be Owning: * We are seeking a Data Scientist to support our NLP project focused on accurate and automatic tokenization of language data from spoken or written sources. In this role, you will develop automated solutions for annotating language data with parts of speech information and enhance existing models by evaluating their performance against human-generated annotations for both speech and text. Your contributions will be crucial in advancing our NLP capabilities and ensuring high-quality language processing. What You Must Have : * Active TS/SCI w/ poly * Possess 2 or more of the following skill areas: * Foundations: (Mathematical, Computational, Statistical) * Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility) * Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations) * Devise strategies for extracting meaning and value from large datasets. * Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge. Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in Government data holdings. * Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data. Effectively communicate complex technical information to non-technical audiences. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting Government collection, processing, storage and analytic capabilities and limitations. * Bachelor's degree with 10 years of relevant experience or Associate's degree with 12 years of relevant experience * Bachelor's degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming, data structures, data mining, artificial intelligence). College-level requirement, or upper-level math courses designated as elementary or basic do not count. Note: A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university. * Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g. Python)), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering. Experience in more than one area is strongly preferred.

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