LinkedIn was built to help professionals achieve more in their careers, and everyday millions of people use our products to make connections, discover opportunities and gain insights. Our global reach means we get to make a direct impact on the world’s workforce in ways no other company can. We are much more than a digital resume – we transform lives through innovative products and technology.

　　Creating economic opportunity for every member of the global workforce is a responsibility we all share. To truly transform the global economy, we must evolve the way we hire and enable our talent to serve people of all backgrounds and experiences. LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. 

　　At 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.

　　Responsibilities:

　　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.

　　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 insights

　　You will analyze large-scale structured and unstructured data; develop deep-dive analyses and machine learning solutions to drive member value and customer success.

　　You will engage with technology partners to build, prototype and validate scalable tools/applications end to end (backend, frontend, data) for converting data to insights

　　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 goals

　　You will provide technical guidance and mentorship to junior data scientists on analysis design and lead code/design reviews.

　　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 impact

　　Basic Qualifications:

　　BS/BA in Computer Science or related technical discipline

　　8+ years of industry experience

　　2+ years experience in managing Data Science teams

　　Preferred Qualifications:

　　10+ years of relevant work experience

　　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 executives

　　Demonstrated ability to work with peers in engineering and product management across teams to set technical and product direction

　　Excellent communications skills, with the ability to synthesize, simplify and explain complex problems to different types of audience, including executives

　　Experience with manipulating massive-scale structured and unstructured data

　　Experience with Hadoop or other MapReduce paradigms, and associated languages such as Pig, Hive, etc.

　　Proficiency in SQL and at least one programming language (e.g., R, Python, Scala).

　　Experience influencing strategy through data-centric presentations.

　　Suggested Skills:

　　Java

　　Distributed Systems

　　Large Scale systems

　　Relational Databases

　　Data Manipulation

　　You will Benefit from our Culture:

　　We 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.

　　LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is [$144,000 to $235,000]. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations.

　　The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For additional information, visit: https://careers.linkedin.com/benefits.*

　　Equal Opportunity Statement

　　LinkedIn 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: https://lnkd.in/equalemploymentopportunity2017. Please reference http://www1.eeoc.gov/employers/upload/eeoc_self_print_poster.pdf and https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf for more information.

　　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 [email protected] and describe the specific accommodation requested for a disability-related limitation.

　　Reasonable 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:

　　-Documents in alternate formats or read aloud to you

　　-Having interviews in an accessible location

　　-Being accompanied by a service dog

　　-Having a sign language interpreter present for the interview

　　A 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.

　　LinkedIn 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.

　　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

　　This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://lnkd.in/GlobalDataPrivacyNotice