Staff Data Scientist - Labor Economics (Mountain View) Job at LinkedIn, Mountain View, CA

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  • LinkedIn
  • Mountain View, CA

Job Description

LinkedIn is the worlds 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.

We work in a mission-driven organization with complex business and social models and objectives. This role will require a strong understanding of LinkedIns business, vision and concept of labor markets; a strong ability to examine complex data and and improve the way we work.

At LinkedIn, we know that labor markets matter. When publicly available data and our data are used with intention, there is significant opportunity to better understand current dynamics and trends as well as to help individuals get jobs, increase career mobility, and unlock economic opportunity.

This role will be based in either Sunnyvale, San Francisco or NYC depending on which area the candidate approved-for-hire chooses.

At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.

This Role:
As a Labor Economist, you will use your background in economic research and analytics to advance thought leadership about how local and global trends and shocks to the macroeconomy and labor market influence job seeking behavior and outcomes. You will partner with business leaders and employ strategic thinking to inform decisions about LinkedIns thought leadership, product development and user experience.

Youll work closely with our multi-disciplinary team of researchers to identify and conduct research that influences how we create opportunity for LinkedIns members and create value for our customers. You will oversee research projects, working with partners across Product, Engineering, Policy, and Marketing teams. Youll develop ongoing relationships with teams to help build sustainable, long-term impact. Your work will have high visibility from leadership.

Responsibilities
Conduct applied labor and macroeconomic research to generate impact for our internal and external audiences.
Design, conduct, and analyze studies with high levels of technical accuracy.
Analyze large structured and/or unstructured data.
Communicate research findings to stakeholders and leadership.
Create frameworks and tools to allow more teams across the company to leverage your research.

Basic Qualifications
Masters or PhD in Economics or related field ( e.g. Business, Statistics, Engineering, other cognitive sciences) or equivalent practical experience.
6+ years of experience network economics and research methods applied to understanding how networks impact our behavior
Experience leading research and actionable output.

Preferred Qualifications
Experience in analyzing labor markets and evaluating data collected and curated from multiple sources.
Experience working with data systems, coding in SQL, R and/or Python
Excellent communication and presentation skills. Able to present complex ideas simply, directly and elicit meaningful feedback.
Demonstrated ability to frame and solve problems in an objective way, and to lead others through efficient and structured methods of decision-making.
Ability to build collaborative partnerships with Product and Engineering teams.
Experience working effectively in a highly matrixed organization that is both dynamic and high-growth.

Suggested Skills
Economic Research
Data Analysis, Econometrics
Communication
Collaboration
Strategic Thinking

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 $138,000.00 to $226,000.00 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

Equal Opportunity Statement
We seek candidates with a wide range of perspectives and backgrounds and we are 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 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:

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:

Seniority level

  • Seniority level

    Not Applicable

Employment type

  • Employment type

    Full-time

Job function

  • Industries

    Technology, Information and Internet and IT Services and IT Consulting

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Job Tags

Full time, For contractors, 16 hours, Work at office, Local area, Flexible hours,

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