Company Description LinkedIn’s vision is to create economic opportunities for every member of the global workforce.  It was built to help professionals achieve more in their careers, and every day 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’re much more than a digital resume – we transform lives through innovative products and technology.   Searching for your dream job? At LinkedIn, we strive to help our employees find passion and purpose. Join us in changing the way the world works. Job Description 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. LinkedIn Data Science team is distributed in US (Sunnyvale, Mountain View, San Francisco, New York), India and Dublin. We leverage science and engineering to maximize the power of data. Our work spans member engagement, growth, marketing, sales, operations, economic graph and more. With over one billion members around the world, a focus on member value, and a mix of B2B and B2C programs, a career in Data Science at LinkedIn offers countless ways to have an impact. As the Director of Data Science for the PSM (Product Service & Marketplaces comprising of LinkedIn Ads and LinkedIn Sales Solutions) team, you will lead an amazing team who are key to building data and intelligence into both Ads and Sales Solutions marketplaces comprising of marketing, sales, pricing, and customer success processes. This includes building a data foundation (e.g., metrics, targeting dimensions); applying statistical techniques such as A/B testing, and LTV estimation to measure Ads initiatives; applying machine learning to optimize the performance of key PSM process; and conduct in depth member and customer deep dive analysis to inform strategic decisions. You’ll be responsible for building a strong technology-driven culture, overseeing some of the most talented scientists and engineers on the planet, and helping them to pursue their passion and transform their careers. You will develop a strong bench of talent across people and technical leadership, and help the team find their voice to articulate how our go-to-market teams can be Data First. Your growth will come from building and supporting strong leaders to whom you can effectively delegate, mentor for peak performance, define clear roles and accountability, communicate clear priorities and maximize cross-organizational alignment. Responsibilities Define the strategic vision and roadmap to empower PSM growth by deepening our understanding of systems and marketplaces, enabling effective optimizations and data informed decisions. Partner with our Marketing and Sales executive teams to align on goals, identify opportunities in our current state, as well as define where to build scalable technology and aligned methodology across lines of business. Build strong collaboration and connective tissue with the other Line of Business Data Science teams and with key horizontal DS functions. Be a role model and professional coach for data scientists and managers. Help them realize their potential by setting clear expectations, openly evaluating performance, upholding accountability, and providing challenges (within and outside their team) to stretch their skills. Analyze large-scale structured and unstructured data; develop deep-dive analysis and machine learning models to drive member value and customer success Lead the team to deliver strong results by researching and building cutting edge, leverageable methodologies and solutions. Align with relevant teams on prioritization. Be an industry thought leader. Represent LinkedIn in relevant industry forums. Qualifications Basic Qualifications B.S. Degree in a quantitative discipline: Statistics, Operations Research, Computer Science, Informatics, Engineering, Applied Mathematics, Economics, etc. 5+ years experience with SQL and at least one programming language (e.g., R, Python, Scala) 5+ years of experience in management positions Preferred Qualifications MS/PhD degree in a quantitative field - Computer Science, Operational Research, Statistics, Economics or related fields Excellent communications skills, with the ability to synthesize, simplify and explain complex problems to different types of audience, including executives Team player who understands the collaborative nature of this work with the ability to influence at C-suite level in a cross-functional environment. Experience managing through leads Experience managing teams of 20+ data scientists/engineers Publications in conferences Extensive experience with statistical inference, statistical modeling, experimentation, causal inference, and ML algorithms. Demonstrated ability to work with peers in Data Science or cross-functional teams Experience telling stories with data and evangelizing a data driven culture Demonstrated thought leadership; experience publishing publicly visible research papers and/or speaking at conferences. Ability to work closely with tech leads to provide substantive guidance to more technically or analytically complex projects. Suggested Skills: * People Leadership * Ads experience * Data Science / Analytics 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 $218,000 to $357,000. 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 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://microsoft.sharepoint.com/:b:/t/LinkedInGCI/EeE8sk7CTIdFmEp9ONzFOTEBM62TPrWLMHs4J1C\_QxVTbg?e=5hfhpE. Please reference https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.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 accommodations@linkedin.com 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