LinkedIn · 2 hours ago
Senior Applied Scientist, Causal Inference
Mountain View, CA
Full-time
Hybrid
Mid, Senior Level
$139K/yr - $229K/yr
3+ years expLinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. They are seeking a Senior Applied Scientist specializing in Causal Inference to leverage big data for business decisions and deliver data-driven insights to drive member engagement and business growth.
Professional NetworkingRecruitingSocial MediaSocial Recruiting
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
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
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
Qualification
Required
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
Background in at least one programming language (eg. R, Python, Java, Ruby, Scala/Spark or Perl)
Experience in applied statistics and statistical modeling in at least one statistical software package, (eg. R, Python)
Preferred
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
Benefits
Generous health and wellness programs
Time away for employees of all levels
Annual performance bonus
Stock
Benefits and/or other applicable incentive compensation plans
Company
LinkedIn is a professional networking site that allows users to create business connections, search for jobs, and find potential clients. It is a sub-organization of Microsoft.
10001+ employees
H1B Sponsorship
LinkedIn has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (892)
2024 (1108)
2023 (913)
2022 (1580)
2021 (1043)
2020 (1146)
Funding
Current Stage
Public CompanyTotal Funding
$154.8MKey Investors
Bain Capital VenturesGreylockSequoia Capital
2016-06-13Acquired
2016-02-15Private Equity
2014-04-01Series Unknown
Leadership Team
Ryan Roslansky
Chief Executive Officer
Dan Shapero
Chief Operating Officer
Recent News
2026-01-22
Entrepreneur.com
2026-01-21
Company data provided by crunchbase