Data Scientist

4 weeks ago

Sunnyvale, California, United States LinkedIn Full time
Job Summary

As a Data Scientist on LinkedIn's Data Science team, you will be responsible for leveraging big data to empower business decisions and deliver data-driven insights, metrics, and tools 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.

Key Responsibilities

• Work with a team of high-performing analytics, data science professionals, and cross-functional teams to identify business opportunities and develop algorithms and methodologies to address them.

• Analyze large-scale structured and unstructured data to drive member value and customer success.

• Conduct in-depth and rigorous causal analysis and develop causal methodology and machine learning models to drive member value and customer success.

• Develop methodologies to enhance LinkedIn's product and platform capabilities.

• Engage with technology partners to build, prototype, and validate scalable tools/applications end to end (backend, frontend, data) for converting data to insights.

• Promote and enable adoption of technical advances in Data Science; elevate the art of Data Science practice at LinkedIn.

• Improve LinkedIn's ability to measure and credibly speak to labor market trends and other economic phenomena.

• Initiate and drive projects to completion independently.

• Act as a thought partner to senior leaders to prioritize/scope projects, provide recommendations, and evangelize data-driven business decisions in support of strategic goals.

• Partner with cross-functional teams to initiate, lead, or contribute to large-scale/complex strategic projects for team, department, and company.

• Provide technical guidance and mentorship to junior team members on solution design as well as lead code/design reviews.

Requirements

• Bachelor's Degree in a quantitative discipline: Statistics, Operations Research, Computer Science, Informatics, Engineering, Applied Mathematics, Economics, etc.

• 5+ years of industry or relevant academia experience

• Background in at least one programming language (e.g., R, Python, Java, Ruby, Scala/Spark, or Perl)

• Experience in applied statistics and statistical modeling in at least one statistical software package (e.g., R, Python)

Preferred Qualifications

• 7+ years of industry or relevant academia experience

• MS or PhD in a quantitative discipline: Statistics, Operations Research, Computer Science, Informatics, Engineering, Applied Mathematics, Economics, etc.

Suggested Skills

• Machine Learning

• Research

• Causal Inference

Benefits

LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $164,000 - $268,000. 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.

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

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