Data Scientist
Colorado Springs, CO · On-site
Particular emphasis will be placed on data curation in support of the Defense Intelligence Enterprise (DIE) Common Intelligence Feed (CIF) and data visualization in support of the Common Intelligence ...
Data Scientist
Colorado Springs, CO · On-site
Particular emphasis will be placed on data curation in support of the Defense Intelligence Enterprise (DIE) Common Intelligence Feed (CIF) and data visualization in support of the Common Intelligence ...
Data Scientist
Colorado Springs, CO · On-site
Particular emphasis will be placed on data curation in support of the Defense Intelligence Enterprise (DIE) Common Intelligence Feed (CIF) and data visualization in support of the Common Intelligence ...
Data Scientist
Colorado Springs, CO · On-site
Particular emphasis will be placed on data curation in support of the Defense Intelligence Enterprise (DIE) Common Intelligence Feed (CIF) and data visualization in support of the Common Intelligence ...
Particular emphasis will be placed on data curation in support of the Defense Intelligence Enterprise (DIE) Common Intelligence Feed (CIF) and data visualization in support of the Common Intelligence ...
Particular emphasis will be placed on data curation in support of the Defense Intelligence Enterprise (DIE) Common Intelligence Feed (CIF) and data visualization in support of the Common Intelligence ...
Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment orchestration * Run and scale training experiments on cloud or HPC ...
Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment orchestration * Run and scale training experiments on cloud or HPC ...
Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment orchestration * Run and scale training experiments on cloud or HPC ...
Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment orchestration * Run and scale training experiments on cloud or HPC ...
Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment orchestration * Run and scale training experiments on cloud or HPC ...
Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment orchestration * Run and scale training experiments on cloud or HPC ...
Machine Learning Engineer
Thornton, CO · On-site
Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment orchestration * Run and scale training experiments on cloud or HPC ...
Machine Learning Engineer
Thornton, CO · On-site
Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment orchestration * Run and scale training experiments on cloud or HPC ...
Machine Learning Engineer
Greeley, CO · On-site
Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment orchestration * Run and scale training experiments on cloud or HPC ...
Machine Learning Engineer
Greeley, CO · On-site
Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment orchestration * Run and scale training experiments on cloud or HPC ...
Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment orchestration * Run and scale training experiments on cloud or HPC ...
Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment orchestration * Run and scale training experiments on cloud or HPC ...
Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment orchestration * Run and scale training experiments on cloud or HPC ...
Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment orchestration * Run and scale training experiments on cloud or HPC ...
Machine Learning Engineer
Denver, CO · On-site
Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment orchestration * Run and scale training experiments on cloud or HPC ...
Machine Learning Engineer
Denver, CO · On-site
Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment orchestration * Run and scale training experiments on cloud or HPC ...
Machine Learning Engineer
Aurora, CO · On-site
Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment orchestration * Run and scale training experiments on cloud or HPC ...
Machine Learning Engineer
Aurora, CO · On-site
Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment orchestration * Run and scale training experiments on cloud or HPC ...
Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment orchestration * Run and scale training experiments on cloud or HPC ...
Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment orchestration * Run and scale training experiments on cloud or HPC ...
Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment orchestration * Run and scale training experiments on cloud or HPC ...
Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment orchestration * Run and scale training experiments on cloud or HPC ...
Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment orchestration * Run and scale training experiments on cloud or HPC ...
Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment orchestration * Run and scale training experiments on cloud or HPC ...
NIST PREP Data Infrastructure Engineer
Boulder, CO · On-site
$60K/yr
Performing the data curation and data engineering work to transform raw data into machine actionable datasets as guided by the FAIR data principles * Managing and consolidating data streams ...
NIST PREP Data Infrastructure Engineer
Boulder, CO · On-site
$60K/yr
Performing the data curation and data engineering work to transform raw data into machine actionable datasets as guided by the FAIR data principles * Managing and consolidating data streams ...
Data Scientist | AI | ML
Boulder, CO · On-site
... curation, and extract/transform/load (ETL) of relevant data sets to support AI/ML solution development Qualifications : Required : • Advanced proficiency in working with Python • A high degree of ...
Data Scientist | AI | ML
Boulder, CO · On-site
... curation, and extract/transform/load (ETL) of relevant data sets to support AI/ML solution development Qualifications : Required : • Advanced proficiency in working with Python • A high degree of ...
Data Processing (Data management and curation, data description and visualization, workflow, and reproducibility); Modeling, Inference, and Prediction (Data modeling and assessment, domain-specific ...
Data Processing (Data management and curation, data description and visualization, workflow, and reproducibility); Modeling, Inference, and Prediction (Data modeling and assessment, domain-specific ...
Data Processing (Data management and curation, data description and visualization, workflow, and reproducibility); Modeling, Inference, and Prediction (Data modeling and assessment, domain-specific ...
Quick apply
Data Processing (Data management and curation, data description and visualization, workflow, and reproducibility); Modeling, Inference, and Prediction (Data modeling and assessment, domain-specific ...
Data Processing (Data management and curation, data description and visualization, workflow, and reproducibility); Modeling, Inference, and Prediction (Data modeling and assessment, domain-specific ...
Data Processing (Data management and curation, data description and visualization, workflow, and reproducibility); Modeling, Inference, and Prediction (Data modeling and assessment, domain-specific ...
Data Curation information
See Colorado salary details
$10.18 - $15.39
9% of jobs
$15.39 - $20.59
10% of jobs
$20.59 - $25.80
4% of jobs
$27.96 is the 25th percentile. Wages below this are outliers.
$25.80 - $31
3% of jobs
$31 - $36.21
10% of jobs
$36.21 - $41.41
5% of jobs
The median wage is $44.01 / hr.
$41.41 - $46.61
15% of jobs
$46.61 - $51.82
8% of jobs
$55.07 is the 75th percentile. Wages above this are outliers.
$51.82 - $57.02
14% of jobs
$57.02 - $62.23
8% of jobs
$62.23 - $67.43
11% of jobs
$10
$42
$67
How much do data curation jobs pay per hour?
As of Sep 5, 2026, the average hourly pay for data curation in Colorado is $42.19, according to ZipRecruiter salary data. Most workers in this role earn between $28.06 and $55.44 per hour, depending on experience, location, and employer.
What is a data curation?
A Data Curation job involves collecting, organizing, maintaining, and ensuring the quality of data for accuracy and accessibility. Data curators clean and structure datasets, manage metadata, and ensure compliance with data governance standards. They work closely with data scientists, analysts, and engineers to support data-driven decision-making. This role is essential in industries like research, healthcare, finance, and technology, where high-quality data is crucial for insights and innovation.
What are the key skills and qualifications needed to thrive in data curation, and why are they important?
To excel in Data Curation, you need a strong background in data management, information science, and database technologies, often supported by a degree in a related field. Familiarity with data wrangling tools, metadata standards, programming languages (such as Python or R), and data management systems is highly valuable. Attention to detail, analytical thinking, and collaborative communication are standout soft skills in this position. These abilities ensure data integrity, usability, and accessibility, which are essential for supporting robust decision-making and research outcomes.
What are some typical challenges faced by professionals in data curation roles?
Professionals in Data Curation often manage large, complex datasets from diverse sources, which can present challenges in ensuring consistency, accuracy, and proper documentation. They may encounter incomplete or poorly formatted data that requires significant cleaning and standardization. Collaborating with researchers, data engineers, and subject matter experts is common to clarify requirements and maintain data integrity. Staying current with evolving data standards and technologies is also key to success, making adaptability important in daily work.
How do you become a data curator?
To become a data curator, you typically need a bachelor's degree in a related field such as information science, computer science, or data management. Gaining experience with data organization, metadata standards, and tools like database management systems or data cleaning software is important, along with developing strong analytical and attention-to-detail skills.
Is a data curator a good job?
A data curator manages and organizes data sets to ensure quality, consistency, and accessibility, often using tools like databases and data management software. It is a growing field with opportunities in industries such as healthcare, finance, and technology, and typically requires strong attention to detail and knowledge of data standards. The role can offer stable employment and the chance to develop specialized skills in data management.
What does a data curator do?
A data curator is responsible for organizing, maintaining, and ensuring the quality of data within a database or repository. They select relevant data, apply standards for consistency, and often use tools like data management software to prepare data for analysis or sharing.
What are the most commonly searched types of Data Curation jobs in Colorado?
The most popular types of Data Curation jobs in Colorado are:
What are popular job titles related to Data Curation jobs in Colorado?
For Data Curation jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Data Curation jobs in Colorado look for?
The top searched job categories for Data Curation jobs in Colorado are:
Job description
Radiance Technologies, a rapidly growing employee-owned company, is seeking an experienced Data Scientist to support the U.S. Army Space and Missile Defense Command (USASMDC) at Peterson Space Force Base, Colorado. This position supports a customer-funded, one-year effort with an anticipated period of performance from September 1, 2026, through August 31, 2027. The selected candidate will apply advanced data analytics techniques to support national security missions by researching and analyzing structured and unstructured data, developing complex database queries and analytical tools, and transforming data into actionable insights.
The Data Scientist will develop and implement data strategies using various data sources to support quantitative and qualitative content analytics and will apply knowledge of computer science concepts, data architecture, intelligence practices, and big-data environments. Working as part of a multi-disciplinary team, the Data Scientist will collaborate with Government and contractor personnel to integrate diverse data sources, contribute to new analytical capabilities across the enterprise, solve complex mission challenges, and communicate technical findings, recommendations, and insights to both technical and non-technical stakeholders. Particular emphasis will be placed on data curation in support of the Defense Intelligence Enterprise (DIE) Common Intelligence Feed (CIF) and data visualization in support of the Common Intelligence Picture (CIP).
Duties and Responsibilities
- Design and develop methods, processes, and systems to consolidate, integrate, and analyze structured and unstructured data.
- Develop and apply advanced software programs, algorithms, query techniques, models, and automated processes to cleanse, integrate, and evaluate datasets.
- Develop and execute complex database queries across multiple databases and Application Programming Interfaces using Python and other applicable programming languages.
- Analyze requirements and evaluate technologies supporting data science capabilities, including Natural Language Processing, Machine Learning, predictive modeling, statistical analysis, and hypothesis testing.
- Develop and implement data strategies using diverse data sources to support quantitative and qualitative content analytics.
- Incorporate existing NRO- and NGA-developed AI-enabled automated collection strategies and Automated Target Recognition (ATR) models using Computer Vision (CV).
- Collaborate across multidisciplinary teams to integrate diverse data sources, including SIGINT, GEOINT, All-source, and Targeting data.
- Contribute to the development of new analytical tools, algorithms, and data science capabilities across the enterprise.
- Identify meaningful insights, interpret analytical results, and communicate findings and recommendations to Government and contractor stakeholders.
- Support data curation in support of the Defense Intelligence Enterprise (DIE) Common Intelligence Feed (CIF) and data visualization supporting the Common Intelligence Picture (CIP).
- Develop analytical techniques to improve organizational performance and solve complex mission challenges.
- Maintain awareness of emerging data analytics, artificial intelligence, and big-data technologies.
Required Qualifications
- Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or another relevant STEM discipline or equivalent experience.
- Eight (8) or more years of experience performing intelligence analysis, data analysis, or closely related work. Eleven (11) years of task-related experience may be substituted for a bachelor's degree.
- U.S. Citizenship.
- Active Top Secret/Sensitive Compartmented Information (TS/SCI) security clearance.
- Experience with AWS or a similar cloud computing provider.
- Demonstrated experience solving problems using structured and unstructured data.
- Demonstrated experience applying statistical analysis and data visualization techniques.
- Demonstrated knowledge of computer science concepts, data architecture, intelligence practices, and managing data in big-data environments.
- Experience performing complex data analysis and database queries.
Desired Qualifications
- GIS Systems Engineering experience.
- Familiarity with Palantir programs.
- Ability and willingness to travel approximately two weeks per year for conferences and coordination with stakeholders.
- Demonstrated experience working on data science projects in multiple domains and providing new capabilities to the organization and customers.
- Experience in two or more of the following:
- Python
- Machine Learning
- Natural Language Processing
- Neural Networks
- Apache Spark
- Hadoop
- R
- C++
- SQL database/coding
- Visualization tools such as Tableau
- Ability to perform complex tasks and participate in determining objectives of assignments, including planning schedules and working independently to achieve objectives.
- Proficiency in applying technical standards, principles, theories, concepts, and analytical techniques across multiple applications.
- Experience developing solutions to address a national security issue or provide a competitive advantage for an organization.
Position Duration
This position supports a customer-funded effort with an anticipated period of performance from September 1, 2026 through August 31, 2027. Employment is expected to conclude upon completion of the customer requirement. While Radiance cannot guarantee follow-on work after the period of performance, employees are welcome to apply for other open positions within the company for which they are qualified.
Salary Range
$150,000 - $175,000
Radiance Technologies is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.