Senior Applied Scientist, Causal Inference
Mountain View, CA, United States · Senior · Contract
Sponsorship not specified$139k-$229kDetected 1 day ago
PythonJavaRubyScalaAlgorithmsMachine LearningSparkData ScienceStatisticsA/B TestingResearchMentoring
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odds of building a lasting career here
37Unrated
Cap-exempt (no lottery)0
Sponsors this role0
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70
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About the role
- Join us to transform the way the world works.
- 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.
- At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business.
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.
- Conduct in-depth and rigorous data science research, model improvement, advanced experiments, observational causal studies to quantify the cause and effect in the ecosystem, identify business opportunities and 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
- 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
- Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal.
Requirements
- Bachelor's Degree in a quantitative discipline: Statistics, Operations Research, Computer Science, Informatics, Engineering, Applied Mathematics, Economics, etc.
- 3+ years of industry or relevant academia experience
- Experience in applied statistics and statistical modeling in at least one statistical software package, (eg.
Nice to have
- BS and 5+ years of relevant work experience, MS and 3+ years of relevant work experience, or Ph.D. and 1+ years of relevant work/academia experience
- MS or PhD in a quantitative discipline: Statistics, Operations Research, Computer Science, Informatics, Engineering, Applied Mathematics, Economics, etc.
- Suggested Skills
- Causal Inference
- We strongly believe in the well-being of our employees and their families.
- LinkedIn is committed to fair and equitable compensation practices.
- Being accompanied by a service dog
- Having a sign language interpreter present for the interview
Compensation
- As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.
Company info
- We are now looking for a talented and driven individual to accelerate our efforts and be a major part of our data-centric culture.
- Suggested Skills - Machine Learning - Research - Causal Inference 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
- 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.
Visa & Work Authorization
- in, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class
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This listing is sourced directly from LinkedIn's careers page and normalized into a canonical job model.