LinkedIn is the world’s largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters.nnAt LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what’s best for you and when it is important for your team to be together.nnLinkedIn’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, LinkedIn offers countless ways for an ambitious data engineer to have an impact and transform your career.nnPremium Data team at LinkedIn is looking to bring a manager to kick start the Premium Data Engineering team! We leverage the power of data to inform business strategies, optimize product performance, and support innovative initiatives that help Premium members achieve their goals and drive LinkedIn Premium business growth. As a manager you will get the ability to influence a multi-billion dollar business and shape the data architecture and platform capabilities supporting our online subscription platform. With almost 8 million Premium members globally, your work will have a significant impact on LinkedIn Premium and its members. Join us to be part of a dynamic team that makes meaningful impacts and shapes the future with building robust and scalable data applications and tooling.nnResponsibilities:nn• You will partner with cross-functional teams to initiate, lead, and drive to completion large-scale/complex strategic projects for teams, departments, and the company.nn• You will lead and manage a team of high-performing data science and data engineering professionals, and cross-functional teams to design, develop and manage core company data foundations, executive metrics and methodologies, create insightful automated dashboards and data visualization to track them and extract useful business insightsnn• You will analyze large-scale structured and unstructured data; develop deep-dive analyses and machine learning solutions to drive member value and customer success.nn• You will engage with technology partners to build, prototype and validate scalable tools/applications end to end (backend, frontend, data) for converting data to insightsnn• You will act as a thought partner to senior leaders and executives to develop long-term roadmaps and strategy, prioritize/scope projects, provide recommendations and evangelize data-driven business decisions in support of strategic goalsnn• You will provide technical guidance and mentorship to junior data scientists on analysis design and lead code/design reviews.nn• You will be an org-wide innovator and build/leverage the most advanced practices of research, machine learning, experimentation + causal inference, data engineering and statistical modeling to deliver significant business impactnnBasic Qualifications:nn• BS/BA in Computer Science or related technical disciplinenn• ?5+ years of industry experiencenn• 1+ year(s) of management experience or 1+ year(s) of staff level engineering experience with management trainingnnPreferred Qualifications:nn• Masters degree or PhD in a quantitative discipline: Economics, Statistics, Operations Research, Computer Science, Informatics, Engineering, Applied Mathematics, etc.nn• 7+ years of relevant work experiencenn• 2+ years experience in managing Data Science teamsnn• Strong leadership with track records in building high performing Data Science and Data Engineering teams, driving projects, applying strategic thinking, building thought leadership, and influencing senior leaders and executivesnn• Demonstrated ability to work with peers in engineering and product management across teams to set technical and product directionnn• Excellent communications skills, with the ability to synthesize, simplify and explain complex problems to different types of audience, including executivesnn• Experience with manipulating massive-scale structured and unstructured datann• Experience with Hadoop or other MapReduce paradigms, and associated languages such as Pig, Hive, etc.nn• Proficiency in SQL and at least one programming language (e.g., R, Python, Scala).nn• Experience influencing strategy through data-centric presentations.nnSuggested Skills:nn• Executive presencenn• Communicationnn• Technical LeadershipnnYou will Benefit from our Culture:nnWe strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.nnLinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $147,000.00 to $240,000.00 Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit Opportunity StatementnnLinkedIn is committed to diversity in its workforce and is 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 an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: Please reference and for more information.nnLinkedIn 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.nnIf 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 and describe the specific accommodation requested for a disability-related limitation.nnReasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:nn-Documents in alternate formats or read aloud to younn-Having interviews in an accessible locationnn-Being accompanied by a service dognn-Having a sign language interpreter present for the interviewnnA request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.nnLinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.nnPay Transparency Policy StatementnnAs a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: Data Privacy Notice for Job CandidatesnnThis document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: