GTM Marketing Optimization Team
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 directly impact 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 opportunities 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.
LinkedIn Data Science team has 350+ data scientists, distributed in the 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 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.
You’ll be responsible for building a strong technology-driven culture, overseeing some of the most talented ML 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 team can be Data and Algorithms first. Your growth will come from building and supporting strong team members 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. ”
Responsibilities:
You will guide ML modeling for our go-to-market challenges specific to marketing optimization such as media mix modeling, experimentation, attribution, targeting, and bid optimization.
You will Act as a champion for a data/algorithm-driven culture, evangelizing best practices both with LinkedIn and among the local and global data science community.
You are expected to drive meetings and lead discussions with technical as well as non-technical (marketing strategy team, strategic finance, Biz Ops) audience.
You will be required to craft compelling stories and make logical recommendations based on a thorough understanding of data and predictive models created on top of that.
Basic Qualifications:
BS (or higher, e. . , MS, or Ph. . ) in a technical field or equivalent technical experience
8+ years of industry experience
3+ years experience in managing Data Science teams
Preferred Qualifications:
10+ years of relevant work experience
Experience with building a strong DS team, helping team members realize their full potential, and influencing the team culture.
Strong sense of ownership and intellectual curiosity.
Ability to translate high-level business objectives into actions.
Excellent communication skills, with the ability to synthesize, simplify and explain complex problems to different types of audiences, including executives.
Track record of solving complex ML problems.
Expertise in applied statistics and machine learning with strong coding skills for data analysis and ML.
Taken algorithms into production
Experience in experimentation in the marketing domain is a plus.
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
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. /equalemploymentopportunity2017. Please reference http://www1. . /employers/upload/eeocselfprintposter. and https://www. . /ofccp/regs/compliance/posters/pdf/OFCCPEEOSupplementFinalJRFQA_508c. 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. 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. /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. /GlobalDataPrivacyNotice
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