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Senior Manager, Data Science - Strategy & Insights

Sunnyvale, CA

LinkedIn is the world’s largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We’re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that’s built on trust, care, inclusion, and fun – where everyone can succeed.

Join us to transform the way the world works.

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 900 million 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.

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.”

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:

● Lead and manage a team of high-performing data science professionals, and cross-functional teams to design, develop and manage core company executive metrics and methodologies, create insightful automated dashboards and data visualization to track them and extract useful business insights

● 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 set a vision and design a long-term Data Science roadmap to prioritize investments with horizontal teams that will elevate business decision making through advanced analytical approaches, algorithms, and tooling.

● You will set a vision and design a long-term Data Science roadmap to prioritize investments with horizontal teams that will elevate business decision making through advanced analytical approaches, algorithms, and tooling.

● 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 will provide technical guidance and mentorship to team members and uplevel team’s craftsmanship.

Basic Qualifications:

● BS or above degrees in a quantitative field: Computer Science, Operational Research, Statistics, Economics, or related fields

● 7+ years of relevant industry or relevant academic experience in Data Science

● 2+ years experience in managing a team

● Experience with SQL or relational database query performance and at least one programming language (e.g., R, Python)

Preferred Qualifications:

● 10+ years of relevant work experience

● 3+ years’ experience in managing Data Science teams

● Strong leadership with track records in building high performing Data Science 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 audiences, including executives

● Experience influencing strategy through data-centric presentations

Suggested Skills:

• Executive presence

• Communication

• Technical Leadership

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 157,000 to 257,000. 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