Staff Data Scientist, Applied Science

This role involves guiding the Experimentation Platform team in developing a statistically correct, flexible, and powerful platform for online experimentation. You will be the statistical voice and technical lead, co-designing a new AI experimentation experience and backend, ensuring high-level functionality like hierarchical experimentation and statistical correctness guardrails. You will be in charge of developing and integrating a variety of experiment analysis techniques, including more powerful variance reduction methods, quantile treatment effect analysis, and cross-experiment analysis. Finally, you will help drive expansion of platform capabilities into additional experiment designs, such as cluster-randomized designs and budget split testing. 

 

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.

• 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.

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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