Qureos Mentor

Datacenter Site Selection Manager - Leasing

<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>
 We believe in the endless power of people when they come together. But we also believe strongly in our responsibility to minimize harm and keep people safe. In this role, you will be responsible for executing global and domestic Public Affairs marketing campaigns around high-priority topics, with a specialized focus on AI. You will improve team communication, collaboration, and remove roadblocks by leveraging a range of organizational and collaboration skills to keep our partners on track. Successful candidates will have the ability to manage a complex network of internal and external stakeholders, while also keeping their finger on the pulse of rapidly changing legislative and regulatory priorities.Analytical, team players who can easily adapt to changing needs and priorities and thrive in ambiguous and innovative environments will be happiest in this role. If you are a strategic marketing leader who is creative, cares about the intersection of products and society, crafts compelling messages, and excels at juggling many complex projects in time-sensitive environments, then we'd love to meet you.
 
 
 Public Affairs Marketing Manager Responsibilities:
 
 
 <ul>
 <li>
 Develop and implement advertising strategies that break through across regions and countries
 </li>
 <li>
 Use data and insights to make campaigns and communications more targeted, persuasive and effective
 </li>
 <li>
 Align key audiences, media and measurement approach into a single public affairs program stretching across multiple topics, audiences, and countries
 </li>
 <li>
 Work in close partnership with the public policy, communications, product and creative teams to ensure all work is grounded in research and business proof points and makes real impact with key constituencies
 </li>
 <li>
 Implement holistic and data-driven programs and process with clear, measurable results, that work in close harmony with media relations and direct outreach
 </li>
 <li>
 In partnership with cross-functional counterparts, continually refine objectives, the audience, media and creative strategy, and measurement approach for the work
 </li>
 <li>
 Define and implement the approach, strategy and process to ensure that Meta shows up appropriately in relevant conversations
 </li>
 <li>
 Build impactful relationships and serve as a dependable point of contact for the teams across policy, communications, marketing, creative, product, research, legal, and content strategy
 </li>
 <li>
 Project manage campaigns tell our responsibility story and drive awareness
 
 
 </li>
 </ul>
 Minimum Qualifications:
 
 
 <ul>
 <li>
 Seven to ten years working in marketing
 </li>
 <li>
 Proven project management experience, with experience driving multiple time-sensitive, cross-functional projects through a robust review process while meeting rapid-response and accelerated deadlines
 </li>
 <li>
 Highly professional communication and presentation skills
 </li>
 <li>
 Demonstrated experience thinking strategically about complex issues, leading to thoughtful recommendations and action plans
 </li>
 <li>
 Capacity to work effectively and swiftly with all levels of management, both internally and externally
 </li>
 <li>
 Proven experience prioritizing tasks and managing workload effectively, with willingness to take the initiative and make things happen
 </li>
 <li>
 Ability to partner with central and local teams across global markets, while reflecting regional and market-specific nuances, collaborating asynchronously, and actively seeking feedback to tailor content to its intended audience
 </li>
 <li>
 Analytical, team player who can easily adapt to changing needs and priorities, while thriving in dynamic environments
 </li>
 <li>
 Context switch easily, especially between strategic, tactical and executional responsibilities
 
 
 </li>
 </ul>
 Preferred Qualifications:
 
 
 <ul>
 <li>
 Experience working in political campaigns either working directly for a candidate/on an issue, or at an agency or consultancy
 </li>
 <li>
 Campaign management experience delivering high-impact campaigns in markets around the world, aimed at building trust with key constituencies
 </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.
 
 
 $124,000/year to $178,000/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>

Public Affairs Marketing Manager

<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>
 Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
 </li>
 <li>
 Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent
 </li>
 <li>
 2+ years of work experience in analytics and data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
 </li>
 <li>
 2+ 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.
 
 
 $119,000/year to $173,000/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>

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

About Company

Datacenter Site Selection Manager - Leasing

Data Scientist, Product Analytics

Public Affairs Marketing Manager

Data Scientist, Product Analytics

Data Scientist, Analytics (Technical Leadership)

Data Scientist, Product Analytics

Data Scientist, Analytics (Technical Leadership)