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Artificial Intelligence • Cloud • Security • Software • Cybersecurity
Recruit, enable, and manage strategic Global Systems Integrator partners to drive revenue and partner-sourced pipeline. Coordinate technical and marketing launches, conduct business reviews, enable joint selling, and work closely with regional sales teams to close deals.
Top Skills:
CloudContainersDatadogDevOpsMonitoringSaaSSystems Management
Aerospace • Cloud • Digital Media • Information Technology • Mobile • News + Entertainment • Generative AI
As a Data Scientist in AI Analytics, you will develop machine learning models and AI solutions to enhance customer engagement and streamline operations, translating data insights into actionable business strategies.
Top Skills:
AWSDatabricksPythonPyTorchScalaScikit-LearnSnowflakeSQLTensorFlow
Aerospace • Cloud • Digital Media • Information Technology • Mobile • News + Entertainment • Generative AI
The SEO/AEO Specialist enhances site visibility through advanced SEO techniques, addressing technical indexing challenges and implementing dynamic schema. The role includes auditing, data analysis, and collaboration across teams to improve performance in AI-driven search results.
Top Skills:
Adobe AnalyticsCSSGoogle Search ConsoleHTMLJavaScriptSemrush
Job Duties
- Employ some combination (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 other 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 customer data holdings
- Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist other 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 constantly shifting collection, processing, storage and analytic capabilities and limitations
Required Skills:
- US Citizens Only
- Active TS/SCI Clearance and Polygraph required
- Information Assurance Certification may be required
- Minimum of three (3) years of relevant experience and a Bachelor’s degree or five (5) years of relevant experience and an Associate’s degree required.
- Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science
- 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 two of more of the following:
- 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
- Software engineering
Compensation Range: $49,977.51 - $109,950.52
What you need to know about the Colorado Tech Scene
With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
