Qureos Mentor

Data Engineer, Product Analytics

<div>
 Meta&rsquo;s Products &amp; Applied Research (PAR) team is where product-focused research meets real-world impact, taking breakthrough AI research and transforming it into products that reach billions. As part of Meta Superintelligence Labs (MSL), we&rsquo;re driving the transformation of Meta&rsquo;s core experiences&mdash;across Facebook, Instagram, WhatsApp, Threads, and beyond&mdash;by applying cutting-edge research to real-world products at massive scale.We are looking for a Data Engineer to join our PAR organization where your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience.You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond.Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a strong focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
 
 
 Data Engineer, PAR Responsibilities:
 
 
 <ul>
 <li>
 Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
 </li>
 <li>
 Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve
 </li>
 <li>
 Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights visually in a meaningful way
 </li>
 <li>
 Define and manage Service Level Agreements for all data sets in allocated areas of ownership
 </li>
 <li>
 Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership
 </li>
 <li>
 Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
 </li>
 <li>
 Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
 </li>
 <li>
 Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
 </li>
 <li>
 Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts
 </li>
 <li>
 Influence product and cross-functional teams to identify data opportunities to drive impact
 </li>
 <li>
 Mentor team members by giving/receiving actionable feedback
 
 
 </li>
 </ul>
 Minimum Qualifications:
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
 </li>
 <li>
 7+ years of experience where the primary responsibility involves working with data. This could include roles such as data analyst, data scientist, data engineer, or similar positions
 </li>
 <li>
 7+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala or others.)
 
 
 </li>
 </ul>
 Preferred Qualifications:
 
 
 <ul>
 <li>
 Master's or Ph.D degree in a STEM field
 </li>
 <li>
 Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
 </li>
 <li>
 Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
 </li>
 <li>
 Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
 
 
 </li>
 </ul>
 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&mdash;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.
 
 
 $177,000/year to $247,000/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.
</div>

Data Engineer, PAR

<div>
 As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
 
 
 Data Scientist, Product Analytics Responsibilities:
 
 
 <ul>
 <li>
 Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
 </li>
 <li>
 Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses
 </li>
 <li>
 Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
 </li>
 <li>
 Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
 </li>
 <li>
 Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions
 
 
 </li>
 </ul>
 Minimum Qualifications:
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
 </li>
 <li>
 Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent
 </li>
 <li>
 4+ years of work experience in analytics, data querying languages such as SQL, scripting languages such as Python, and/or statistical mathematical software such as R (minimum of 2 years with a Ph.D.)
 </li>
 <li>
 4+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors &amp; long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights]
 
 
 </li>
 </ul>
 Preferred Qualifications:
 
 
 <ul>
 <li>
 Master's or Ph.D. Degree in a quantitative field
 </li>
 <li>
 Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
 </li>
 <li>
 Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
 </li>
 <li>
 Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
 
 
 </li>
 </ul>
 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&mdash;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.
 
 
 $147,000/year to $208,000/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.
</div>

Data Scientist, Product Analytics

<div>Meta is seeking a Connectivity Engineer to join the Design Engineering and Construction (DEC) team. Our data centers are the foundation upon which our services are delivered, and our rapidly scaling infrastructure operates. The team lights up Meta &rsquo;s global data centers, delivering the physical infrastructure that connects the world to the videos, feeds, and other information stored on Meta &rsquo;s server banks.The DEC Connectivity Engineer will provide site level support to ensure DEC telecommunication projects are being executed on schedule, within budget and at the level of quality specified. Connectivity Engineer will be the key point of contact for managing the full project life-cycle including project kick-off all the way through production turnover into operations. DEC Connectivity Engineer is highly collaborative with cross-functional partners at the Data Center Headquarters, our on-site contractor, and other data centers globally. 
 
 
<h3 class="jobSectionHeader">Connectivity Engineer - Data Center Design, Engineering, &amp; Construction Responsibilities:
 
</h3><ul><li>Project Planning &amp; Control - Create, maintain, and report on-site project and program scope, schedules, and milestones. Work closely with site project management team throughout the project lifecycle from the creation of project and program plans through project close out</li><li>
Learnings - Continuously review ongoing projects for efficiencies in schedule, budget, and opportunities to enable cross-functional partners to be successful. Document data points to assist with field coordination of projects. Support development of project management best practices and initiatives, coordinating SOPs/SIPs with vendors, and participating in global and regional standards. Coordinate lessons learned with the internal and external cross functional partners</li><li>
Forecasting - Support project controls team with forecasting and budget efforts as required. Share current project status with upstream and downstream partners, ensuring crisp and complete handoffs between teams</li><li>
Technical Reviews - Establish milestones for equipment purchase and track and report against these milestones. Assist with the selection and review of a contractor to support the structured cabling work within a data center</li><li>
Metrics - Report progress and risks on-site projects and other initiatives to key stakeholders</li><li>
Workflow - Work with installation partners to establish and track milestones. Conduct pre-project planning, project handoffs, and ensure design delivery and verification. Identify and respond to project risks and high-priority issues rapidly and effectively through effective action and appropriate escalation. Track and manage project change order requests</li><li>
Vendor Field Management - Responsible for all connectivity activities within construction, projects on site including tracking and reporting actual progress related to schedule expectations. Set and communicate clear expectations together with the immediate site team, build key relationships with our installation partners, foster a safe, collaborative working environment and execute a goal of &lsquo;right first time.&rsquo;</li><li>
Quality Assurance - Perform physical inspections to ensure that vendor work meets DEC quality standards throughout the lifecycle of the data center. Validate physical installs, test reports, build accuracy, material and local code compliance including constructability reviews on multiple design phases</li><li>
Technical Field Lead - Technical lead for industry and Meta standards, responsible for leading product evaluation, design, and installation methods in the field, including scope clarification, design, and installation details as the owner of the Request for Information process</li><li>
Technical Coordination - Develop solutions to in-field scope gap or clash issues. Partner with DEC design and engineering teams to digitally support design reviews, BOM reviews, and as-built drawing validations</li><li>
Communications and Cross-functional team engagement - Liaise with construction partners to ensure deliverables are met during new builds and retrofits. Coordinate with logistics partners, vendors, and suppliers to ensure a smooth end-to-end flow of materials as needed. Work closely with the relevant teams to proactively communicate progress and project risks and initiatives to key stakeholders</li><li>
Safety - Ensure that vendors adhere to safety obligations in accordance with local regulations and DEC Safety best practices. Lead a 'safety first' experience while working with others, in support of shared goals. Foster an environment of open and transparent communication while acknowledging demonstrated experience in EHS practices</li></ul> 
 
 
<h3 class="jobSectionHeader">Minimum Qualifications: 
</h3><ul><li>
7+ years of experience in project management within data center, telecommunications, or construction environments</li><li>
Experience engaging and guiding stakeholders</li><li>
Experience providing solutions to construction related problems</li></ul> 
 
 
<h3 class="jobSectionHeader">Preferred Qualifications: 
</h3><ul><li>
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)</li><li>
Experience managing IT or IP network deployment projects in a mission-critical environment requiring coordination across multiple disciplines for the delivery of a common goal</li><li>
Experience reviewing and leading installations to design documents and specifications</li><li>
Experience with fiber optic testing at scale, inclusive of complex troubleshooting</li><li>
Data center development and/or construction management experience</li><li>
Experience in leading deployments of network/structure cabling infrastructure</li><li>
Experience with Quality Assurance and Quality Control, including progressive inspections and acceptance</li><li>
Experience with outside plant cabling (OSP) deployments, including OTDR/OLTS testing</li><li>
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies</li><li>
Experience with Primavera 6</li><li>
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)</li></ul> 
 
 
<h3 class="jobSectionHeader">About Meta: 
</h3>
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&mdash;beyond the constraints of screens, the limits of distance, and even the rules of physics. 
 
 
<div>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. 
 
$123,000/year to $176,000/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.</div></div>

Connectivity Engineer - Data Center Design, Engineering, & Construction

<div>
 Meta is seeking talented experienced engineers to join our teams in building cutting-edge products that connect billions of people around the world. As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for passionate individuals who can help us advance the way people connect globally. If you're interested in joining a world-class team of engineers and researchers to work on exciting projects that have significant impact, we encourage you to apply.
 
 
 Software Engineer, Machine Learning Responsibilities:
 
 
 <ul>
 <li>
 Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences
 </li>
 <li>
 Implement custom user interfaces using latest programming techniques and technologies
 </li>
 <li>
 Analyze and optimize code for quality, efficiency, and performance, and provide feedback to peers during code reviews
 </li>
 <li>
 Set direction and goals for teams, lead major initiatives, provide technical guidance and mentorship to peers, and help onboard new team members
 </li>
 <li>
 Architect efficient and scalable systems that drive complex applications
 </li>
 <li>
 Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt
 </li>
 <li>
 Work on a variety of coding languages and technologies
 </li>
 <li>
 Establish ownership of components, features, or systems with expert end-to-end understanding
 
 
 </li>
 </ul>
 Minimum Qualifications:
 
 
 <ul>
 <li>
 Demonstrated experience driving change within an organization and leading complex technical projects
 </li>
 <li>
 Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
 </li>
 <li>
 8+ years of programming experience in a relevant language OR 4+ years experience with a PhD
 </li>
 <li>
 Experience utilizing data and analysis to explain technical problems and provide detailed feedback and solutions
 
 
 </li>
 </ul>
 Preferred Qualifications:
 
 
 <ul>
 <li>
 Masters degree or PhD in Computer Science or a related technical field
 </li>
 <li>
 Experience with frameworks like TensorFlow, PyTorch, or Scikit-learn
 </li>
 <li>
 Understanding of information retrieval concepts, such as indexing, querying, and ranking
 </li>
 <li>
 Demonstrated grasp of data structures and algorithms, including graph theory and optimization techniques
 </li>
 <li>
 Knowledge of NLP techniques, including text preprocessing, tokenization, and sentiment analysis
 </li>
 <li>
 Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
 </li>
 <li>
 Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
 </li>
 <li>
 Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
 
 
 </li>
 </ul>
 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&mdash;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.
 
 
 $183,997/year to $257,000/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.
</div>

Software Engineer, Machine Learning

<div>
 We are seeking experienced Data Scientists to join our team and drive impact across various product areas. As a Data Scientist, you will collaborate with cross-functional partners to identify and solve complex problems using data and analysis. Your role will involve shaping product development, quantifying new opportunities, and ensuring products bring value to users and the company. You will guide teams using data-driven insights, develop hypotheses, and employ rigorous analytical approaches to test them. You will tell data-driven stories, present clear insights, and build credibility with stakeholders. By joining our team, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.
 
 
 Data Scientist, Analytics (Technical Leadership) Responsibilities:
 
 
 <ul>
 <li>
 Work with complex data sets to solve challenging problems using analytical and statistical approaches
 </li>
 <li>
 Apply technical expertise in quantitative analysis, experimentation, and data mining to develop product strategies
 </li>
 <li>
 Identify and measure success through goal setting, forecasting, and monitoring key metrics
 </li>
 <li>
 Partner with cross-functional teams to inform and execute product strategy and investment decisions
 </li>
 <li>
 Build long-term vision and strategy for programs and products
 </li>
 <li>
 Collaborate with executives to define and develop data platforms and instrumentation
 </li>
 <li>
 Effectively communicate insights and recommendations to stakeholders
 </li>
 <li>
 Define success metrics, forecast changes, and set team goals
 </li>
 <li>
 Support developing roadmaps and coordinate analytics efforts across teams
 
 
 </li>
 </ul>
 Minimum Qualifications:
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
 </li>
 <li>
 Mathematics, Statistics, Operations Research) 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab)
 </li>
 <li>
 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development
 </li>
 <li>
 Experience working effectively with and leading complex analytics projects across multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance
 </li>
 <li>
 Experience with predictive modeling, machine learning, and experimentation/causal inference methods
 </li>
 <li>
 Experience communicating complex technical topics in a clear, precise, and actionable manner
 
 
 </li>
 </ul>
 Preferred Qualifications:
 
 
 <ul>
 <li>
 10+ years of experience communicating the results of analyses to leadership teams to influence the strategy
 </li>
 <li>
 Masters or Ph.D. Degree in a quantitative field
 </li>
 <li>
 Bachelor's Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research)
 </li>
 <li>
 10+ years of experience doing complex quantitative analysis in product analytics
 </li>
 <li>
 Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
 </li>
 <li>
 Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
 </li>
 <li>
 Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
 
 
 </li>
 </ul>
 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&mdash;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.
 
 
 $210,000/year to $281,000/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.
</div>

Data Scientist, Analytics (Technical Leadership)

<div>
 As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
 
 
 Data Scientist, Product Analytics Responsibilities:
 
 
 <ul>
 <li>
 Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
 </li>
 <li>
 Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses
 </li>
 <li>
 Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
 </li>
 <li>
 Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
 </li>
 <li>
 Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions
 
 
 </li>
 </ul>
 Minimum Qualifications:
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
 </li>
 <li>
 A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.)
 </li>
 <li>
 Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience
 </li>
 <li>
 Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
 
 
 </li>
 </ul>
 Preferred Qualifications:
 
 
 <ul>
 <li>
 Master's or Ph.D. Degree in a quantitative field
 </li>
 <li>
 Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
 </li>
 <li>
 Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
 </li>
 <li>
 Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
 
 
 </li>
 </ul>
 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&mdash;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.
 
 
 $177,000/year to $247,000/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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Join Meta and explore 11   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Meta

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