LinkedIn
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Company Description LinkedIn is the world’s largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We are committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that’s built on trust, care, inclusion, and fun where everyone can succeed.
Job Description LinkedIn’s Data Science team leverages big data to empower business decisions and deliver data-driven insights, metrics, and tools in order to drive member engagement, business growth, and monetization efforts. With over 1 billion members around the world, a focus on great user experience, and a mix of B2B and B2C programs, a career at LinkedIn offers countless ways for an ambitious data scientist to have an impact.
We are now looking for a talented and driven individual to accelerate our efforts and be a major part of our data-centric culture. It is expected that this person understands experimentation and/or machine learning techniques to be able to implement from scratch and have the ability to extend and enhance these techniques to specific applications like business problems. Successful candidates will exhibit technical acumen on inference and algorithms, and the business savviness to use these technical skills to drive better business decision-making.
At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.
Responsibilities
Work with a team of high-performing analytics, data science professionals, and cross-functional teams to identify business opportunities and develop algorithms and methodologies to address them.
Analyze large-scale structured and unstructured data.
Conduct in-depth and rigorous data science research, model improvement, advanced experiments, observational causal studies to quantify cause and effect in the ecosystem, identify business opportunities and drive member value and customer success.
Develop methodologies to enhance LinkedIn’s product and platform capabilities.
Engage with technology partners to build, prototype and validate scalable tools/applications end to end (backend, frontend, data) for converting data to insights.
Promote and enable adoption of technical advances in Data Science; elevate the practice of Data Science at LinkedIn.
Improve LinkedIn’s ability to measure and credibly speak to labor market trends and other economic phenomena.
Initiate and drive projects to completion independently.
Act as a thought partner to senior leaders to prioritize scope projects, provide recommendations and evangelize data-driven business decisions in support of strategic goals.
Partner with cross-functional teams to initiate, lead or contribute to large-scale/complex strategic projects for team, department, and company.
Provide technical guidance and mentorship to junior team members on solution design as well as lead code/design reviews.
Qualifications Basic Qualifications
Bachelor’s Degree in a quantitative discipline: Statistics, Operations Research, Computer Science, Informatics, Engineering, Applied Mathematics, Economics, etc.
3+ years of industry or relevant academia experience
Background in at least one programming language (e.g., R, Python, Java, Scala/Spark or Perl)
Experience in applied statistics and statistical modeling in at least one statistical software package (e.g., R, Python)
Preferred Qualifications
BS and 5+ years of relevant work experience, MS and 3+ years of relevant work experience, or Ph.D. and 1+ years of relevant work/academia experience
MS or PhD in a quantitative discipline: Statistics, Operations Research, Computer Science, Informatics, Engineering, Applied Mathematics, Economics, etc.
Suggested Skills
Machine Learning
Research
Causal Inference
Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.
If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. A request for an accommodation will be responded to within three business days.
LinkedIn will not discharge or discriminate against employees or applicants who inquire about or disclose pay information in certain contexts, in accordance with applicable laws.
Pay Transparency Policy Statement: As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.
Global Data Privacy Notice for Job Candidates: Please follow this link to access the document that provides transparency around the handling of personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.
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Company Description LinkedIn is the world’s largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We are committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that’s built on trust, care, inclusion, and fun where everyone can succeed.
Job Description LinkedIn’s Data Science team leverages big data to empower business decisions and deliver data-driven insights, metrics, and tools in order to drive member engagement, business growth, and monetization efforts. With over 1 billion members around the world, a focus on great user experience, and a mix of B2B and B2C programs, a career at LinkedIn offers countless ways for an ambitious data scientist to have an impact.
We are now looking for a talented and driven individual to accelerate our efforts and be a major part of our data-centric culture. It is expected that this person understands experimentation and/or machine learning techniques to be able to implement from scratch and have the ability to extend and enhance these techniques to specific applications like business problems. Successful candidates will exhibit technical acumen on inference and algorithms, and the business savviness to use these technical skills to drive better business decision-making.
At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.
Responsibilities
Work with a team of high-performing analytics, data science professionals, and cross-functional teams to identify business opportunities and develop algorithms and methodologies to address them.
Analyze large-scale structured and unstructured data.
Conduct in-depth and rigorous data science research, model improvement, advanced experiments, observational causal studies to quantify cause and effect in the ecosystem, identify business opportunities and drive member value and customer success.
Develop methodologies to enhance LinkedIn’s product and platform capabilities.
Engage with technology partners to build, prototype and validate scalable tools/applications end to end (backend, frontend, data) for converting data to insights.
Promote and enable adoption of technical advances in Data Science; elevate the practice of Data Science at LinkedIn.
Improve LinkedIn’s ability to measure and credibly speak to labor market trends and other economic phenomena.
Initiate and drive projects to completion independently.
Act as a thought partner to senior leaders to prioritize scope projects, provide recommendations and evangelize data-driven business decisions in support of strategic goals.
Partner with cross-functional teams to initiate, lead or contribute to large-scale/complex strategic projects for team, department, and company.
Provide technical guidance and mentorship to junior team members on solution design as well as lead code/design reviews.
Qualifications Basic Qualifications
Bachelor’s Degree in a quantitative discipline: Statistics, Operations Research, Computer Science, Informatics, Engineering, Applied Mathematics, Economics, etc.
3+ years of industry or relevant academia experience
Background in at least one programming language (e.g., R, Python, Java, Scala/Spark or Perl)
Experience in applied statistics and statistical modeling in at least one statistical software package (e.g., R, Python)
Preferred Qualifications
BS and 5+ years of relevant work experience, MS and 3+ years of relevant work experience, or Ph.D. and 1+ years of relevant work/academia experience
MS or PhD in a quantitative discipline: Statistics, Operations Research, Computer Science, Informatics, Engineering, Applied Mathematics, Economics, etc.
Suggested Skills
Machine Learning
Research
Causal Inference
Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.
If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. A request for an accommodation will be responded to within three business days.
LinkedIn will not discharge or discriminate against employees or applicants who inquire about or disclose pay information in certain contexts, in accordance with applicable laws.
Pay Transparency Policy Statement: As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.
Global Data Privacy Notice for Job Candidates: Please follow this link to access the document that provides transparency around the handling of personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.
#J-18808-Ljbffr