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Overnight Meta Data Scientist Jobs in Colorado (NOW HIRING)

Meta

Edge Delivery Manager

Denver, CO · On-site

$135K - $191K/yr

Meta operates one of the largest Content Delivery Networks in the world. The Edge Production Infra ... data analytics and product teams to enable more efficient ISP partner engagements Minimum ...

Meta

Network Engineer, Optical Deployment

Denver, CO

$135K/yr

Meta is looking for an Optical Network Deployment & Support Engineer to join the team responsible ... Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or ...

Meta

Network Engineer, Foundation & Support

Denver, CO · On-site

$135K/yr

Meta is seeking a Network Engineer to join the Foundation and Support team, focused on the ... Analyze network performance data and incident trends to inform proactive improvements to site ...

Meta

Network Engineer, Optical Deployment

Denver, CO · On-site

$135K - $191K/yr

Meta is looking for an Optical Network Deployment & Support Engineer to join the team responsible ... across Network Engineering, Data Center, Network Investments, and Planning teams to ensure ...

Meta

Network Engineer, Optical Deployment

Denver, CO · On-site

$162K - $227K/yr

Meta is looking for an Optical Network Deployment & Support Engineering Lead to join the team ... across Network Engineering, Data Center, Network Investments, and Planning teams to ensure ...

Meta

Network Engineer, Foundation & Support

Denver, CO · On-site

$135K - $191K/yr

Meta is seeking a Network Engineer to join the Foundation and Support team, focused on the ... data and incident trends to inform proactive improvements to site network reliability and ...

Synergistic it

AI & Machine Learning Engineer

Denver, CO

$117.90K - $141.50K/yr

... data scientist , and machine learning/AI engineer . In other words, SynergisticIT focuses on ... A lot of jobseekers assume they must become "AI experts" overnight. Not true. Many companies are ...

Synergistic it

AI & Machine Learning Engineer

Denver, CO

$117.90K - $141.50K/yr

... data scientist , and machine learning/AI engineer . In other words, SynergisticIT focuses on ... A lot of jobseekers assume they must become "AI experts" overnight. Not true. Many companies are ...

Meta

Network Operations Engineer

Denver, CO · On-site

$107K - $159K/yr

Meta is seeking a Network Operations Engineer to join our Edge and Network Services (ENS ... In this role, you will utilize your knowledge in hyperscale data center structured cabling, fiber ...

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Overnight Meta Data Scientist information

What are the key skills and qualifications needed to thrive as an Overnight Meta Data Scientist, and why are they important?

To thrive as an Overnight Meta Data Scientist, you need a strong background in statistics, machine learning, and data analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with programming languages such as Python or R, experience with big data tools like Spark or Hadoop, and proficiency in data visualization platforms are often required. Strong problem-solving skills, attention to detail, and the ability to communicate findings clearly are essential soft skills for this role. These abilities are crucial for extracting actionable insights from complex datasets and supporting data-driven decision-making, even during off-hours when support may be limited.

What are some unique challenges faced by Overnight Meta Data Scientists, and how can they be addressed?

Overnight Meta Data Scientists often work during non-standard hours, which can present challenges such as limited real-time collaboration with daytime teams and the need to manage alert fatigue or solo problem-solving. To address these, it's important to establish clear handoff protocols, utilize asynchronous communication tools, and maintain detailed documentation for ongoing projects. Additionally, Overnight Data Scientists often focus on monitoring critical systems or running batch data processes, so developing strong troubleshooting skills and self-reliance is key. Many organizations support these roles with flexible scheduling and remote work options to help maintain work-life balance.

What is an Overnight Meta Data Scientist?

An Overnight Meta Data Scientist is a professional who works primarily during nighttime hours to analyze and interpret large datasets, often utilizing advanced statistical and machine learning techniques. The 'meta' aspect refers to working with metadata—data that provides information about other data—helping organizations optimize data management, enhance searchability, and improve data-driven decision-making. These scientists often monitor automated systems, ensure data pipelines are functioning, and may address urgent issues that arise outside of regular business hours. Their work is critical for organizations that require round-the-clock data processing and analysis, such as global tech companies and online platforms.

What is the difference between Overnight Meta Data Scientist vs Data Analyst?

AspectOvernight Meta Data ScientistData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; knowledge of machine learning and programmingBachelor's in Data Analysis, Statistics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentTypically in tech companies or research labs, often with flexible or overnight shiftsUsually in corporate offices, with standard daytime hours
Employer & Industry UsageTech firms, e-commerce, social media platformsFinance, marketing, healthcare, retail

Overnight Meta Data Scientists focus on advanced data modeling, machine learning, and large-scale data analysis, often working overnight shifts in tech environments. Data Analysts primarily handle data collection, cleaning, and reporting during regular hours. While both roles require strong analytical skills, the Meta Data Scientist role emphasizes technical expertise in algorithms and programming, whereas Data Analysts focus on interpreting data for business insights.

What are the most commonly searched types of Meta Data Scientist jobs in Colorado? The most popular types of Meta Data Scientist jobs in Colorado are:
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Overnight Meta Data Scientist jobs near you
Network Engineer, Foundation & Support (DC Design)

Network Engineer, Foundation & Support (DC Design)

Meta

Denver, CO

$135K/yr

Full-time

Posted 13 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

119th of 184 rated software companies

Job description

The Edge & Network Services (ENS) team at Meta is seeking individuals to help us tackle the unique challenges and opportunities we face while contributing to our mission of connecting the world. This global team offers a unique career opportunity to work with cutting-edge network infrastructure technologies and engineers solving complex problems in the industry. For this role, we are looking for a Network Infrastructure Design Engineer with demonstrated experience in developing and deploying network connectivity solutions at scale in a data center or similar mission-critical data processing environment.Are you ready to shape the future of Meta's data center designs? As a member of the ENS Foundation Design team, you will collaborate with technical teams across the organization to ensure that critical networks supporting seamless commissioning, provisioning, and ongoing operations of our global data centers have their cooling, space, power, and network connectivity needs met in new infrastructure design initiatives. Your mission is crucial - to guarantee that Meta's new data center designs incorporate the network infrastructure needs of ENS and its stakeholders. Join us in this exciting endeavor and make a real impact on Meta's future!
Network Engineer, Foundation & Support (DC Design) Responsibilities:
  • Leverage in-depth subject-matter knowledge to represent the network infrastructure design and deployment needs for Industrial Control Systems (ICS) and non-production networks, supporting the commissioning, provisioning, and ongoing operations of our global data centers
  • Collaborate across highly technical teams including network engineering, data center design and construction, and data center connectivity to develop, document, and incorporate network infrastructure cooling, space, power, and connectivity requirements into Meta data center designs and standards
  • Build and nurture business relationships with key stakeholders, partners, and vendors
  • Initiate and lead strategic initiatives driving efficiency, innovation, and standardization of network infrastructure within the data center environment
  • Influence future iterations of data center and network designs to ensure seamless integration of new infrastructure technologies
  • Drive improvements in technical references/standards, design processes, and training documentation
  • Support automation and tooling initiatives to drive consistency and efficiency in all aspects of infrastructure design, deployment, and operations
  • Perform construction administration site visits and work cross-functionally with construction, design architects/engineers, and contractors to validate cabling infrastructure and network builds according to Meta standards
  • Educate site design, construction, and operations teams on data center product design intent to minimize and proactively address site level design deviations
  • 20% to 30% travel required based on project demand

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 7+ years of work experience with designing and deploying large-scale data center connectivity infrastructure
  • Thorough knowledge of structured cabling and fiber optic infrastructure including design and installation best practices, industry standards, application, and limitations
  • Working knowledge of fault tolerant cooling and electrical architectures used for supporting network and compute hardware in a high availability environment
  • General knowledge of the data center design, construction, and start up/commissioning processes
  • Experience leading cross-functional teams through partnership and driving large-scale data center or similar infrastructure design initiatives
  • Track record of solving problems, setting strategic direction, and executing tactically, and achieving measurable outcomes
  • Working knowledge of internet networking technologies (TCP/IP, routing, switching), optical transport technologies (DWDM and Optical transceivers), network redundancy concepts
  • Demonstrated experience to work effectively in an ambiguous environment and collaborate with global cross-functional teams to develop and execute plans that address evolving business needs
  • Experience with scoping, prioritization, multitasking, and clear communication is required

Preferred Qualifications:
  • Experience leading and managing matrixed technical teams
  • Experience working with on-site construction teams, and managing contractors, and vendor relationships
  • Working knowledge of data center facilities management practices and supporting industrial control system infrastructure (Building Management Systems, Distributed Antenna Systems, corporate WIFI, Precision Timing Protocol, fire protection, physical security access control systems)
  • Working knowledge of data center infrastructure management (DCIM)
  • Data center design or relevant telecommunications/Professional Engineering licensure
  • Proficiency with AutoDesk design tools (ACC/Revit/BIM 360)
  • Familiarity with the Linux based systems and experience with scripting and automation (Bash, Python, Perl)
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$135,000/year to $191,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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