Director of Data Science, GTM

Location: Sunnyvale, CA
Company: LinkedIn
Industry: IT
Job Type: Full Time
Posted: 5 days ago
Company Description LinkedIn 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 LinkedIn Data Science team has 350+ data scientists, 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 across member engagement, growth, marketing, sales, operations, Economic Graph and more.

With over 700 million 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 this newly created SaaS Go-To-Market (GTM) team, you have the opportunity to lead an amazing team who are key to building data and intelligence into our sales, marketing, pricing, and customer success processes. This includes building a data foundation (eg, metrics, targeting dimensions); applying statistical techniques such as A/B testing, media mix modelling, LTV estimation, and multi-touch attribution to measure our GTM efforts; applying machine learning to optimize the performance of key GTM 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.

Your long-term success will come not from a "command and control" style, but from "inspire and empower." Qualifications Responsibilities. Define the strategic vision and roadmap to transform Linkedin's GTM teams focused on our Saas businesses (Talent, Learning, Glint and Sales Solutions) and Pricing to be Data-first.

Partner with our Sales and Marketing 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 (LoB). Build strong collaboration and connective tissue with the other LoB 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..

Develop a long-term roadmap for your team and participate in developing long-term roadmap for the broader teams..

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. Basic Qualifications.

Bachelors degree in a quantitative field - Computer Science, Operational Research, Statistics, Economics or related fields. 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 prestigious conferences. Extensive experience with Statistical inference and ML algorithms..

Demonstrated ability to work with peers in Data Science or cross-functional teams 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://legal.linkedin.

com/content/dam/legal/LinkedIn_EEO_Statement_2020.pdf. Please reference and https://www.dol.

gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf for more information. LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. If you believe you need a reasonable accommodation in order to search for a job opening or to apply for a position, please contact us by sending an email to

This email box is designed to assist disabled job seekers who seek a reasonable accommodation to the application process. Emails sent for non-disability related issues, such as following up on an application, will not receive a response. In your email, please include the following: (1) confirm you have a disability; (2) identify the disability-related limitation that needs to be accommodated, and (3) if known, describe the specific accommodation requested for the disability-related limitation.

A response to your request may take up to three business days. 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: 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: Show more Show less.

Seniority level Not Applicable. Employment type Full-time. Job function Management. Industries Internet.

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