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’re committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture 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 to drive member engagement, business growth, and monetization efforts. With over 1 billion members, 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 looking for a talented and driven individual to accelerate our efforts and be a major part of our data-centric culture. The role requires understanding experimentation and/or machine learning techniques to implement from scratch and to extend these techniques to business problems. Successful candidates will demonstrate technical acumen in inference and algorithms and the business savviness to drive data-driven decisions.
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 for this role is hybrid, performed both from home and from a LinkedIn office on select days, as determined by the team.
Responsibilities
Work with a team of high-performing analytics and 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 data science research, model improvement, advanced experiments, observational causal studies to quantify cause and effect, identify 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 and elevate the craft at LinkedIn.
Improve LinkedIn’s ability to measure 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 and advocate for data-driven decisions in support of strategic goals.
Partner with cross-functional teams to lead or contribute to large-scale strategic projects for the team, department, and company.
Provide technical guidance and mentorship to junior team members and participate in 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 academic experience.
Experience with at least one programming language (e.g., R, Python, Java, Scala/Spark, etc.).
Experience in applied statistics and statistical modeling in at least one software package (e.g., R, Python).
Preferred Qualifications
BS with 5+ years of relevant work experience, MS with 3+ years, or PhD with 1+ years of relevant experience.
MS or PhD in a quantitative discipline: Statistics, Operations Research, Computer Science, Informatics, Engineering, Applied Mathematics, Economics, etc.
Benefits and Additional Information
Competitive total compensation including base salary, annual bonus, stock, and comprehensive benefits. Compensation may vary by location and other factors.
Culture that supports well-being and professional growth.
Equality and accessibility commitments, accommodations support, and pay transparency information as applicable by law.
Equal Opportunity LinkedIn is an equal opportunity employer and considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender identity or expression, sexual orientation, citizenship, or any other legally protected class. Reasonable accommodations are available on request for candidates with disabilities.
For accommodation requests, please contact accommodations@linkedin.com. Information about candidate privacy is available at the Global Data Privacy Notice for Job Candidates: https://legal.linkedin.com/candidate-portal.
San Francisco Fair Chance Ordinance applies where required. Pay Transparency and related disclosures apply as applicable.
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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’re committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture 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 to drive member engagement, business growth, and monetization efforts. With over 1 billion members, 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 looking for a talented and driven individual to accelerate our efforts and be a major part of our data-centric culture. The role requires understanding experimentation and/or machine learning techniques to implement from scratch and to extend these techniques to business problems. Successful candidates will demonstrate technical acumen in inference and algorithms and the business savviness to drive data-driven decisions.
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 for this role is hybrid, performed both from home and from a LinkedIn office on select days, as determined by the team.
Responsibilities
Work with a team of high-performing analytics and 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 data science research, model improvement, advanced experiments, observational causal studies to quantify cause and effect, identify 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 and elevate the craft at LinkedIn.
Improve LinkedIn’s ability to measure 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 and advocate for data-driven decisions in support of strategic goals.
Partner with cross-functional teams to lead or contribute to large-scale strategic projects for the team, department, and company.
Provide technical guidance and mentorship to junior team members and participate in 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 academic experience.
Experience with at least one programming language (e.g., R, Python, Java, Scala/Spark, etc.).
Experience in applied statistics and statistical modeling in at least one software package (e.g., R, Python).
Preferred Qualifications
BS with 5+ years of relevant work experience, MS with 3+ years, or PhD with 1+ years of relevant experience.
MS or PhD in a quantitative discipline: Statistics, Operations Research, Computer Science, Informatics, Engineering, Applied Mathematics, Economics, etc.
Benefits and Additional Information
Competitive total compensation including base salary, annual bonus, stock, and comprehensive benefits. Compensation may vary by location and other factors.
Culture that supports well-being and professional growth.
Equality and accessibility commitments, accommodations support, and pay transparency information as applicable by law.
Equal Opportunity LinkedIn is an equal opportunity employer and considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender identity or expression, sexual orientation, citizenship, or any other legally protected class. Reasonable accommodations are available on request for candidates with disabilities.
For accommodation requests, please contact accommodations@linkedin.com. Information about candidate privacy is available at the Global Data Privacy Notice for Job Candidates: https://legal.linkedin.com/candidate-portal.
San Francisco Fair Chance Ordinance applies where required. Pay Transparency and related disclosures apply as applicable.
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