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Meta Data Science Jobs in Colorado (NOW HIRING)

BEDI Partnerships

Staff Data Scientist

Denver, CO

Serve as the embedded product data science partner for a cross-functional area focused on discovery ... meta-analysis across portfolios of tests. * Own the analytical strategy for your business area ...

Udemy

Staff Data Scientist

Denver, CO · On-site

Serve as the embedded product data science partner for a cross-functional area focused on discovery ... meta-analysis across portfolios of tests. * Own the analytical strategy for your business area ...

BEDI Partnerships

Staff Data Scientist

Denver, CO · On-site

Serve as the embedded product data science partner for a cross-functional area focused on discovery ... meta-analysis across portfolios of tests. * Own the analytical strategy for your business area ...

Meta

Edge Delivery Manager

Denver, CO

$135K/yr

Meta operates one of the largest Content Delivery Networks in the world. The Edge Production Infra ... Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or ...

Meta

Network Operations Engineer

Denver, CO

$106K/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 ...

Miqdigital

Paid Social Manager

Denver, CO

Manage a growing portfolio of omnichannel clients to lead efforts on Meta (Facebook/Instagram ... We're experts in data science, analytics and programmatic trading, and we're always ready to react ...

Miqdigital

Paid Social Manager

Denver, CO

Manage a growing portfolio of omnichannel clients to lead efforts on Meta(Facebook/Instagram ... We're experts in data science, analytics and programmatic trading, and we're always ready to react ...

PopSockets

Creator Affiliate Manager

Boulder, CO · On-site

... Meta, and other performance channels * Partner with Creative Strategy to bring the science side of ... Comfort with performance data: pulling reports, reconciling attribution, and tracking ROAS, CVR ...

PopSockets

Creator Affiliate Manager

Boulder, CO

... Meta, and other performance channels * Partner with Creative Strategy to bring the science side of ... Comfort with performance data: pulling reports, reconciling attribution, and tracking ROAS, CVR ...

PopSockets

Creator Affiliate Manager

Boulder, CO

... Meta, and other performance channels * Partner with Creative Strategy to bring the science side of ... Comfort with performance data: pulling reports, reconciling attribution, and tracking ROAS, CVR ...

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Meta Data Science information

What are typical daily responsibilities for someone in a Meta Data Science role?

In a Meta Data Science role, your daily tasks often involve analyzing large datasets to extract insights, developing and validating predictive models, and communicating findings to diverse teams. You will work closely with product managers, engineers, and other data professionals to design experiments and optimize business strategies. The role frequently requires presenting complex analyses in approachable terms and iterating on data solutions in response to feedback. You may also contribute to the development of internal data tools or pipelines, ensuring data quality and accessibility across the organization.

What is a Meta Data Science job?

A Meta Data Science job involves using data analysis, machine learning, and statistical techniques to drive insights and decision-making at Meta. Data scientists in this role work with large-scale datasets to optimize products, improve user experiences, and develop predictive models. They collaborate with engineers, product managers, and researchers to solve complex business problems. The role requires expertise in programming, data visualization, and experimental design to extract meaningful information from data.

Does Meta hire data scientists?

Yes, Meta regularly hires data scientists to analyze user data, improve products, and develop machine learning models. Candidates typically need strong skills in statistics, programming (such as Python or R), and experience with data analysis tools and large datasets.

What are the key skills and qualifications needed to thrive in the Meta Data Science position, and why are they important?

To excel in Meta Data Science, a strong background in statistics, machine learning, and data analysis, often supported by an advanced degree in a quantitative field, is essential. Proficiency in programming languages like Python or R, experience with big data platforms (such as Hadoop or Spark), and knowledge of data visualization tools are typically required, as well as relevant certifications like those from Google, AWS, or Microsoft. Exceptional problem-solving, communication, and teamwork skills set top candidates apart in this collaborative and data-driven environment. These competencies enable professionals to generate actionable insights, build scalable models, and effectively communicate findings to both technical and non-technical stakeholders.

How much does a meta data scientist make?

A data scientist at Meta typically earns between $100,000 and $160,000 annually, with senior roles exceeding $200,000. Compensation varies based on experience, location, and skills in data analysis, machine learning, and programming tools like Python or R.

Is 40 too late for data science?

Meta Data Science roles, like many data science positions, do not have strict age limits. Success depends on skills, experience, and continuous learning, such as mastering programming languages like Python or R and understanding machine learning concepts. Age should not be a barrier if you have relevant expertise and stay current with industry tools and techniques.

What does a Data Scientist at Meta do exactly?

A Data Scientist at Meta analyzes large datasets to identify patterns, develop models, and generate insights that inform product development and business strategies. They use statistical techniques, machine learning tools, and programming languages like Python or R to solve complex problems and improve user experience. Strong analytical skills and knowledge of data visualization are essential in this role.
What are the most commonly searched types of Meta Data Science jobs in Colorado? The most popular types of Meta Data Science jobs in Colorado are:
What are popular job titles related to Meta Data Science jobs in Colorado? For Meta Data Science jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Meta Data Science jobs in Colorado look for? The top searched job categories for Meta Data Science jobs in Colorado are:
Meta Data Science jobs near you
Infographic showing various Meta Data Science job openings in Colorado as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Network Engineer, Foundation & Support (DC Design)

Network Engineer, Foundation & Support (DC Design)

Meta

Denver, CO

$135K/yr

Full-time

Posted 14 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

124th of 192 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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