Staff Data Scientist, Applied Science

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.

Responsibilities:

• 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.

Basic Qualifications:

• 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.

Suggested Skills:

• Structured thinking around bias
• Understanding of AI Experimentation
• Leadership

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