Staff Data Scientist, Applied Science
LinkedIn · Posted Oct 14
Professional networking, job search, recruiting, online learning, and B2B marketing services
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About the role
LinkedIn's Data Science team leverages big data to develop data-driven solutions for LinkedIn's Infrastructure organization, which encompasses data centers, servers, network infrastructure, power systems, and foundational software platforms. This role guides the Experimentation Platform team as the statistical voice and technical lead, co-designing a new AI experimentation experience and backend with hierarchical experimentation and statistical correctness guardrails. The position also involves developing and integrating experiment analysis techniques such as variance reduction methods, quantile treatment effect analysis, cross-experiment analysis, cluster-randomized designs, and budget split testing.
What you will do
- Co-design the new AI experimentation experience and the backend that powers it.
- Collaborate cross-functionally to identify business opportunities and develop algorithms and methodologies to address them.
- Analyze large-scale structured and unstructured data.
- Develop methodologies to enhance LinkedIn's online experimentation 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.
- 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.
Skills used in this role
What the employer is looking for
- MS or PhD in a quantitative discipline: Statistics, Economics, Applied Mathematics, Operations Research, Computer Science, Informatics, or other quantitative field relevant to the science of experimentation.
- Expertise in statistics, including analysis of bias and variance for experimental design and analysis approaches.
- Fluent in at least one programming language and a capable user of AI software engineering tools.
- Ability to establish requirements and design a new system for a broad set of users.
- 3+ years in a position that includes substantial technical leadership.
- 10+ years of total experience
Preferred qualifications
- Experience in infrastructure/platform development.
- Ability to collaborate with and shape technical solutions for a broad set of customers and stakeholders.
Benefits and support
- Compensation and benefits are detailed in the job posting
About LinkedIn
LinkedIn is the world's largest professional network, connecting over a billion users globally to create economic opportunity. Owned by Microsoft, the platform provides tools for job searching, professional networking, B2B marketing, sales intelligence, and online learning. Through its data graph, it bridges the gap between global talent and enterprise organizations.
- Industry
- Professional Network
- Company size
- 10001+ employees
- Founded
- 2003-05-05
- Location
- Sunnyvale, California, USA
- Funding stage
- Public Company
Funding
Public Company · $103.5M raised
- 2003-11-01Seed$4.7M
- 2004-08-01Series A$10M
- 2007-01-15Series B$53M
- 2008-06-01Series C$22.7M
- 2014-05-15Post Ipo Debt$500M
Leadership
Chief Executive Officer
EVP of LinkedIn and Microsoft Office
President of Platforms and Digital Work
Senior Vice President & Chief Financial Officer
Senior Vice President & Chief Business Officer
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