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Built In Colorado

Data Scientist - Specialist E3

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Job Description

Develop machine learning analytics for streaming data pipelines and real-time situational-awareness interfaces. Create validated training and testing datasets, perform advanced statistical analysis, design scalable analytic solutions, troubleshoot complex issues, develop testing procedures and documentation, and collaborate with engineering teams on system performance and interfaces. Lead critical analytics development and mentor junior engineers. The summary above was generated by
AI Warning:
Do not submit any sensitive, proprietary, or classified information in this system (including
PII, FOUO/CUI
). If your resume includes government program content, ensure all information has been cleared through the appropriate Prepublication Review process. Join Our Team! We seek the best talent and compensate accordingly. Radix is an inclusive workplace that fosters a professional, casual work environment and a leadership structure that enables collaboration and potential for employees to have daily impact on the Company's success. Top Reasons Why You Want to Work for Radix as a Software Engineer Small Company Culture Relaxed Flexible Work Environment Competitive Wages Medical, Dental, & Vision Premiums 100% Employer Funded Short-Term, Long-Term Disability, & Life Premiums 100% Employer Funded Company Funded Retirement plan of up to 25% of Base Salary 6 weeks of Paid Time Off (PTO) Professional Development and Educational Benefits Job Overview Primarily responsible for creating machine learning analytics that will be integrated into streaming data processing pipelines and appealing user interfaces that provide real-time situational awareness and expose advanced analytics to end users. This includes advanced mathematical and statistical analysis for manipulating, formatting, and corroborating data sources. Data scientists are responsible for generating "gold" data sets for training, testing, and verification of concepts and models. Applies computer science, engineering, and mathematical analysis concepts and principles in the development of machine learning analytics for the target application. Works closely with cross functional members of the engineering organization to develop and evaluate interfaces between streaming data processing pipelines and software, and operational performance requirements and design of the overall system. Develops analytics test procedures, analytics, and related documentation. Specialists are full performance engineers that can execute derived tasks autonomously and seamlessly work as part of a team contributing to larger technical objectives.
Essential Duties and Responsibilities:
Lead the development of critical data analytics. Design and implement high-performance, scalable data analytic solutions. Perform complex debugging and troubleshooting. Mentor and guide junior engineers and associates. Stay updated with emerging technologies and industry trends.
Competencies :
Strong understanding of data science and analytic development principles. Expertise in multiple data science methods and technologies.
Primary Location:
Radix Metasystems HQ, 325 Inverness Drive South, Englewood, CO 80112 Secondary/Additional Location(s): Buckley Space Force Base, Aurora, CO 80011
Salary Range:
The salary and compensation for this position will be determined based on skill level, experience, and education as applicable. These factors include, but are not limited to responsibilities of the job, ability to fulfill all job requirements, education, experience, knowledge, skills, certifications, as well as internal equity, alignment with market data, bargaining agreements (if any), or other applicable law.
Requisition:
2650
Qualifications Required Qualifications/Education :
Performance equivalent to or greater than 10 years of experience in an engineering or technical discipline. Associate, Bachelor's, Master's, and Doctorate degrees in a Technical or Engineering Discipline can be substituted for 2, 4, 6, or 8 years of equivalent experience, respectively.
Preferred Qualifications :
Strong leadership and mentoring abilities. Excellent problem-solving and analytical skills. Knowledge of data science methods and technologies.
Security Clearance Requirements :
TS/SCI with Counterintelligence Polygraph is required to start (no sponsorship possible)
Work Environment & Physical Requirements:
General office environment. Must be able to work at a desk for 8 hours per day and operate a computer, keyboard, and telephone.
Affirmative Action/EEO statement:
Radix Metasystems is an Equal Opportunity Employer. We do not discriminate based on race, color, religion, national origin, sex, age, disability, genetic information, or any other status protected by law or regulation. Qualified applicants are provided with an equal opportunity and selection decisions are based on job-related factors.
Other duties:
Please note this job description is not designed to cover or contain a comprehensive listing of all activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.
ADA Accommodations:
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the job. Please contact Human Resources for more information. Read Full Description HQ Radix Metasystems, Inc. Aurora, Colorado, USA Office Aurora, CO, United States Similar Jobs Hewlett Packard Enterprise Software Engineer 18 Minutes Ago In-Office 2 Locations 162K-371K Annually Senior level 162K-371K Annually Senior level Artificial Intelligence
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CRM 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.
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Funding Landscape:
$4.9 billion in VC funding in 2024 (Pitchbook)
Notable Investors:
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Benefits

  • Paid Time Off (PTO)
  • Professional Development
  • Other Retirement and Savings
  • Health Insurance