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Strong employer brand, remote role, and generalist senior data scientist title increase applicant competition.
Advanced ML, experimentation, and production modeling requirements make background transferability limited across industries.
Explicit multi-degree years minimums, required ML/A-B testing and production experience create strict filters.
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Lead design and execution of advanced data analyses, experiments, and machine learning models to solve complex product and business challenges.
Develop and maintain scalable data pipelines and models integrated into product workflows, impacting product performance and decisions.
Mentor other data scientists, promote best practices, and contribute to tools and processes enhancing team efficiency and impact.
Bachelor's degree in Computer Science, Mathematics, Statistics, or related field with minimum 8 years experience; or Master's degree with 6 years experience; or PhD with 3 years experience.
Expertise in A/B testing and experimentation is mandatory.
Strong foundation in data science methods and technologies.
Work Experience Required: Minimum 8 years (Bachelor's), 6 years (Master's), or 3 years (PhD) as specified.
Experienced in cross-functional collaboration with engineering and product teams to embed data science solutions into product strategy.
Demonstrated ability to influence technical direction and contribute to long-term planning in data science.
Skilled in communicating complex findings effectively to diverse technical and business audiences.