LinkedIn
Overview
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. The role tackles a wide range of technical challenges spanning products, engineering, research, data engineering, finance, and infrastructure. LinkedIn's infrastructure is the backbone of our operations, encompassing datacenters, servers, network infrastructure, power systems, and foundational software platforms that power our products and services. The work location for 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. Develop methodologies to enhance LinkedIn's operations and platform capabilities. Apply technical expertise to forecasting and capacity planning to seek opportunities for improvement. 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 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 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 and 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. 5+ years of industry or relevant academic experience Background in at least one programming language (e.g., R, Python, Java, Ruby, Scala/Spark or Perl) Experience in applied statistics and statistical modeling in at least one statistical software package (e.g., R, Python) Preferred Qualifications
7+ years of industry or relevant academic experience MS or PhD in a quantitative discipline or other quantitative field Experience in infrastructure planning, operations research, or a related field Familiarity with cloud computing platforms and infrastructure management systems Benefits and Additional Information
We offer a compensation package including base salary and additional components such as annual performance bonus, stock, benefits, and other incentive programs. The pay range for this role is $170,000 - $277,000; actual compensation is based on factors including skill set, experience, certifications, and work location. For more information, see the LinkedIn benefits page. LinkedIn is an equal opportunity employer. We consider 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. We are committed to an inclusive and accessible experience for all job seekers and employees, and provide reasonable accommodations upon request. Seniority level
Mid-Senior level Employment type
Full-time Job function
Data Science Referral notices: Referrals increase your chances of interviewing at LinkedIn. Get notified about new Data Scientist jobs in Sunnyvale, CA.
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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. The role tackles a wide range of technical challenges spanning products, engineering, research, data engineering, finance, and infrastructure. LinkedIn's infrastructure is the backbone of our operations, encompassing datacenters, servers, network infrastructure, power systems, and foundational software platforms that power our products and services. The work location for 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. Develop methodologies to enhance LinkedIn's operations and platform capabilities. Apply technical expertise to forecasting and capacity planning to seek opportunities for improvement. 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 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 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 and 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. 5+ years of industry or relevant academic experience Background in at least one programming language (e.g., R, Python, Java, Ruby, Scala/Spark or Perl) Experience in applied statistics and statistical modeling in at least one statistical software package (e.g., R, Python) Preferred Qualifications
7+ years of industry or relevant academic experience MS or PhD in a quantitative discipline or other quantitative field Experience in infrastructure planning, operations research, or a related field Familiarity with cloud computing platforms and infrastructure management systems Benefits and Additional Information
We offer a compensation package including base salary and additional components such as annual performance bonus, stock, benefits, and other incentive programs. The pay range for this role is $170,000 - $277,000; actual compensation is based on factors including skill set, experience, certifications, and work location. For more information, see the LinkedIn benefits page. LinkedIn is an equal opportunity employer. We consider 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. We are committed to an inclusive and accessible experience for all job seekers and employees, and provide reasonable accommodations upon request. Seniority level
Mid-Senior level Employment type
Full-time Job function
Data Science Referral notices: Referrals increase your chances of interviewing at LinkedIn. Get notified about new Data Scientist jobs in Sunnyvale, CA.
#J-18808-Ljbffr