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Technical Operations Scientist Jobs in Colorado (NOW HIRING)

Data Scientist I

Englewood, CO · On-site

$72K - $118K/yr

The Data Scientist I solves the critical challenge of translating vast volumes of technical operation logs and system metrics into actionable narratives that reflect the actual customer experience ...

Data Scientist I

Englewood, CO · On-site

$72K - $118K/yr

The Data Scientist I solves the critical challenge of translating vast volumes of technical operation logs and system metrics into actionable narratives that reflect the actual customer experience ...

Technical and operational requirements gathering * Planning and coordination with Ibotta ... Preferably in Computer Science, Engineering, Analytics or a related field * Experience with system ...

Technical and operational requirements gathering * Planning and coordination with Ibotta ... Preferably in Computer Science, Engineering, Analytics or a related field * Experience with system ...

You will work closely with Operations, Operational Excellent (OE), Research and Optimization (R&O ... Communicate technical development activities like design of experiment, costing, data analysis, etc ...

You will work closely with Operations, Operational Excellent (OE), Research and Optimization (R&O ... Communicate technical development activities like design of experiment, costing, data analysis, etc ...

You will work closely with Operations, Operational Excellent (OE), Research and Optimization (R&O ... Communicate technical development activities like design of experiment, costing, data analysis, etc ...

You will work closely with Operations, Operational Excellent (OE), Research and Optimization (R&O ... Communicate technical development activities like design of experiment, costing, data analysis, etc ...

FOOD SCIENTIST I

Greeley, CO · On-site

$80K - $90K/yr

You will work closely with Operations, Operational Excellent (OE), Research and Optimization (R&O ... Communicate technical development activities like design of experiment, costing, data analysis, etc ...

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Technical Operations Scientist information

What are some typical challenges Technical Operations Scientists face when transitioning from research-focused roles?

Technical Operations Scientists often encounter challenges when shifting from research to operations, such as adapting to a faster-paced environment with strict timelines and regulatory requirements. Unlike pure research roles, this position emphasizes process optimization, troubleshooting, and cross-functional collaboration with manufacturing, quality assurance, and engineering teams. Success often depends on strong communication skills, attention to detail, and the ability to quickly resolve issues to maintain seamless production. Embracing these new responsibilities can offer valuable career growth and exposure to large-scale product development.

What is an operations scientist?

An operations scientist is a professional who applies scientific methods, data analysis, and modeling techniques to optimize and improve operational processes within an organization. They often use tools like statistical software and require strong analytical skills to identify efficiencies, troubleshoot issues, and support decision-making in technical or industrial environments.

What is the highest paid science job?

In the field of scientific careers, roles such as pharmaceutical scientists, data scientists, and biomedical engineers tend to have the highest salaries. Senior positions requiring advanced degrees, specialized skills, and experience often command six-figure incomes, especially in industries like biotechnology, pharmaceuticals, and technology research.

What does a technical scientist do?

A technical operations scientist analyzes and optimizes scientific processes, often working with laboratory equipment, data analysis tools, and automation systems. They support research and development activities by troubleshooting technical issues, ensuring compliance with safety standards, and maintaining technical documentation.

What are the key skills and qualifications needed to thrive as a Technical Operations Scientist, and why are they important?

To thrive as a Technical Operations Scientist, you need a strong background in life sciences or engineering, analytical problem-solving abilities, and relevant industry experience, often supported by a bachelor’s or master’s degree. Familiarity with laboratory information management systems (LIMS), process validation, and quality control tools is typically required, along with knowledge of regulatory standards such as GMP. Strong communication, attention to detail, and teamwork skills help you collaborate effectively and troubleshoot complex operational issues. These competencies ensure processes run smoothly, products meet quality standards, and regulatory compliance is maintained in a high-stakes technical environment.

What is the difference between Technical Operations Scientist vs Laboratory Scientist?

AspectTechnical Operations ScientistLaboratory Scientist
CredentialsBachelor's or Master's in Life Sciences, Chemistry, or related fields; often requires technical certificationsBachelor's or Master's in Life Sciences, Chemistry, or related fields; certifications vary by specialization
Work EnvironmentManufacturing facilities, biotech companies, or research labs focusing on process optimization and technical supportResearch labs, clinical labs, or academic settings conducting experiments and analyses
Employer & Industry UsageBiotech, pharmaceutical, and manufacturing industries; involved in technical operations and process troubleshootingAcademic, clinical, or research institutions; focused on experimental work and data collection

The Technical Operations Scientist and Laboratory Scientist roles share educational backgrounds and work in scientific environments. However, the Technical Operations Scientist emphasizes process support, technical troubleshooting, and manufacturing operations, while the Laboratory Scientist focuses on experimental research and data analysis. Both roles are essential in biotech and pharma industries but serve different functions within the research and production pipeline.

What are the four types of scientists?

Scientists can be categorized into four main types: theoretical scientists who develop models and hypotheses, experimental scientists who conduct experiments to test ideas, applied scientists who use scientific knowledge to solve practical problems, and interdisciplinary scientists who combine methods from multiple fields. In a technical operations context, understanding these types helps in collaborating across research, development, and implementation phases.

What are Technical Operations Scientists?

Technical Operations Scientists are professionals who bridge the gap between scientific research and operational processes in industries such as pharmaceuticals, biotechnology, or manufacturing. They focus on ensuring that scientific procedures are efficiently translated into scalable production systems, maintaining product quality and compliance. Their responsibilities often include troubleshooting process issues, optimizing workflows, supporting technology transfer, and liaising between research, development, and production teams. This role is critical for maintaining seamless operations and supporting continuous improvement in technical environments.
What are popular job titles related to Technical Operations Scientist jobs in Colorado? For Technical Operations Scientist jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Technical Operations Scientist jobs in Colorado look for? The top searched job categories for Technical Operations Scientist jobs in Colorado are:
What cities in Colorado are hiring for Technical Operations Scientist jobs? Cities in Colorado with the most Technical Operations Scientist job openings:
Data Scientist I

Data Scientist I

EchoStar

Englewood, CO • On-site

$72K - $118K/yr

Full-time

Medical, Retirement

Posted 2 days ago


EchoStar rating

6.9

Company rating: 6.9 out of 10

Based on 69 frontline employees who took The Breakroom Quiz

53rd of 78 rated telecommunications companies


Job description

Company Summary

EchoStar is reimagining the future of connectivity. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products.
Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV.


Department Summary

Beyond connecting customers to their favorite entertainment, our Video Services team delivers an award-winning TV experience to millions of customers across DISH TV and Sling TV platforms. Our dynamic teams are unwavering in our commitment to continuous innovation, ensuring the evolution of products and the constant enhancement of the overall customer experience.


Job Duties and Responsibilities

Candidates may need to participate in at least one in-person interview, which may include a live whiteboarding or technical assessment session.

The Data Scientist I solves the critical challenge of translating vast volumes of technical operation logs and system metrics into actionable narratives that reflect the actual customer experience for Sling and DISH TV. This role addresses the need for better observability by operationalizing AI and machine learning capabilities to monitor predictive health and identify system friction. By bridging the gap between raw data and product stability, the individual ensures that operational improvements are driven by clear, data-backed insights rather than anecdotal evidence.

What Success Looks Like (Objectives)

  • Refinement of key performance indicators through the maintenance of AI/ML frameworks that aggregate system logs for predictive health monitoring
  • Visualization of deployed AI/ML model performance via sophisticated Tableau dashboards that provide stakeholders with transparent and accurate insights
  • Implementation of optimized data workflows to eliminate bottlenecks and ensure seamless scalability for model training and deployment
  • Translation of complex machine learning outputs into clear business summaries that drive strategic product and operational improvements
  • Execution of data-driven investigations using anomaly detection to surface and address immediate friction points in the customer journey

Skills, Experience and Requirements
Core Skills and Competencies (What you’ll bring)
  • Foundational expertise in data analysis used to identify workflow improvements and ensure data transparency for large-scale model deployment

  • Practical experience applying predictive analytics and basic AI methods, such as anomaly detection, to solve real-world operational challenges

  • Proficiency in Tableau for designing dashboards that visualize the tangible outcomes of machine learning initiatives
  • Strategic AI application skills to operationalize advanced capabilities across a diverse technical operations ecosystem

  • Adeptness at cross-functional communication, specifically the ability to prepare data narratives for both technical and non-technical stakeholders

Minimum Requirements

Minimum Education: Bachelor’s Degree in Data Science, Computer Science, Statistics, Mathematics, or a related field

Minimum Experience: 0-2 years of experience in Data Analysis or Technical Operations

Required Technical Skills: Must have experience with:

  • Tableau Dashboard Design

  • Predictive Analytics tools

  • System Log Aggregation Frameworks

  • Foundational Python or SQL for data workflow management

Visa sponsorship not available for this role


Salary Ranges
Compensation: $72,400.00/Year - $118,900.00/Year
Benefits

We offer versatile health perks, including flexible spending accounts, HSA, a 401(k) Plan with company match, ESPP, career opportunities, and a flexible time away plan; all benefits can be viewed here: EchoStar Benefits.

The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, and competencies; compensation is based on the role's location and is subject to change based on work location. 

Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check. Our company is committed to fostering an inclusive and equitable workplace where every individual has the opportunity to succeed. We are dedicated to providing individuals with criminal or arrest records a fair chance of employment in accordance with local, state, and federal laws.

The posting will be active for a minimum of 3 days. The active posting will continue to extend by 3 days until the position is filled.

We pride ourselves on developing and promoting talent as an Equal Employment 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. EchoStar will accommodate the sincerely held religious beliefs of employees if such accommodations are not undue hardships and are otherwise within the bounds of applicable law. All qualified applicants with arrest or conviction records will be considered for employment in accordance with local, state, and federal law. You may redact any information that identifies age, date of birth, or dates of school/graduation from your application documents before submission and throughout our application process.
EchoStar will provide reasonable accommodation to otherwise qualified job applicants and employees with known physical or mental disabilities, unless doing so poses an undue hardship on the Company, poses a direct threat of substantial harm to others, or is otherwise not required by law. EchoStar has a more detailed Accommodation Policy that applies to employees. EchoStar endeavors to make echostar.com and jobs.echostar.com accessible to users. Please contact leaves@dish.com if you would like to discuss the accessibility of our website or need assistance completing the application process. This contact information is for accommodation requests only; do not use this contact information to inquire about the status of applications.
Click the links to access the following statements: EEO Policy Statement, Pay Transparency, EEOC Know Your Rights (English/Spanish)

Qualifications:Core Skills and Competencies (What you’ll bring)
  • Foundational expertise in data analysis used to identify workflow improvements and ensure data transparency for large-scale model deployment

  • Practical experience applying predictive analytics and basic AI methods, such as anomaly detection, to solve real-world operational challenges

  • Proficiency in Tableau for designing dashboards that visualize the tangible outcomes of machine learning initiatives
  • Strategic AI application skills to operationalize advanced capabilities across a diverse technical operations ecosystem

  • Adeptness at cross-functional communication, specifically the ability to prepare data narratives for both technical and non-technical stakeholders

Minimum Requirements

Minimum Education: Bachelor’s Degree in Data Science, Computer Science, Statistics, Mathematics, or a related field

Minimum Experience: 0-2 years of experience in Data Analysis or Technical Operations

Required Technical Skills: Must have experience with:

  • Tableau Dashboard Design

  • Predictive Analytics tools

  • System Log Aggregation Frameworks

  • Foundational Python or SQL for data workflow management

Visa sponsorship not available for this role

Education:UNAVAILABLEEmployment Type: FULL_TIME

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