Salary Context
This role offers $130k–$180k. The median for Senior-level data_science roles is $120k–$180k (based on 25 listings). Near median.
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Job Description
MS/PhD in Computer Science, Statistics, Data Science, Physics, Operations Research, or similar quantitative domain.
5+ years of industry experience with data analysis at web scale or relevant work experience, demonstrating increasing levels of responsibility and impact.
Expert proficiency in Python for data manipulation, analysis, and modeling.
Expert proficiency in at least one database language (e.g., SQL, Snowflake) for complex data extraction and transformation.
Proven ability to translate highly ambiguous business questions and strategic needs into robust technical requirements and analytical solutions.
Deep understanding and practical application of advanced statistical techniques and modeling, including predictive modeling and causal inference.
Exceptional communication and presentation skills, with a track record of influencing product and executive leadership.
Deep expertise in user engagement analytics, retention strategies, and/or growth modeling.
Extensive experience with large data sets using technologies like Hadoop and Spark.
Demonstrated experience in architecting and implementing automated analytics tasks and data pipelines at scale.
Proven track record of leading complex projects within highly cross-functional teams, driving consensus and delivering results.
Experience mentoring junior team members and contributing to a data science community.
Experience contributing to product strategy and roadmap definition.
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