Data Science Manager, Jobs Marketplace System Insights - job 1 of 2

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.LinkedIn’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, a career at LinkedIn offers countless ways for an ambitious data scientist to have an impact.LinkedIn's Jobs Marketplace is a complex ecosystem that requires a thorough understanding of demand and supply dynamics. As we shift towards building AI-first products, there is a greater need for dedicated DS partnerships to provide system-level insights, measurement, and tools that accelerate AI iterations and advancement. Jobs Marketplace System Insights team is formed in 2023 with the goal to build deeper understanding, create scalable tools, advance in measurement both online and offline of our core jobs marketplace AI systems.This individual will lead the team on:1. Enhance system understanding and operational excellence through AI explainability and interpretability.2. Boost job seeker engagement and revenue by identifying gaps and opportunities in our AI system.3. Improve AI systems and business metrics that align with customer, seeker, and LinkedIn value.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 act as a champion for a data-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 business/PM audiences.• You will be required to craft compelling stories and make logical recommendations based on thorough understanding of data and predictive models created on top of that.• You will guide architecture, data models, and engineering best practices for this area as well as broader Data Science and Data as required.Basic Qualifications:• BS (or higher, e.g., MS, or PhD) in a technical or quantitative field — Computer Science, Operational Research, Statistics, Economics, or related fields• 5+ years of industry experience• 1+ year(s) of management experience or 1+ year(s) of staff level engineering experience with management trainingPreferred Qualifications: • 8+ 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 data science problems• Expertise in applied statistics in at least one statistical software packageSuggested Skills:• Executive presence• Communication• Technical LeadershipYou 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 $138,000 - $226,000. 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 StatementLinkedIn 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 interviewA 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 StatementAs 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 CandidatesThis document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://lnkd.in/GlobalDataPrivacyNotice