Senior Data Scientist

Responsibilities

• Extract, format, and validate complex datasets from multiple sources to guarantee quality and analysis readiness.
• Execute advanced analyses utilizing SQL, R, and Python to resolve ambiguous problems and deliver optimal solutions.
• Report Key Performance Indicators to leadership and translate analytical results into actionable product improvement insights.
• Prototype scalable business cases and build robust processes with the foresight to anticipate future challenges.
• Master internal data structures and metrics to effectively advocate for impactful product development changes. Influence cross-functional teams to align strategic resources while providing oversight and setting standards for data scientists.
• - Extract, format, and validate complex datasets from multiple sources to guarantee quality and analysis readiness. - Execute advanced analyses utilizing SQL, R, and Python to resolve ambiguous problems and deliver optimal solutions. - Report Key Performance Indicators to leadership and translate analytical results into actionable product improvement insights. - Prototype scalable business cases and build robust processes with the foresight to anticipate future challenges. - Master internal data structures and metrics to effectively advocate for impactful product development changes. Influence cross-functional teams to align strategic resources while providing oversight and setting standards for data scientists.

Minimum qualifications:

Qualifications

• Minimum qualifications: - Bachelor’s degree in Data Science, Statistics, Mathematics, Physics, Economics, Operations Research or a related field and 6 years of progressive post-baccalaureate experience in the job offered or in a Data Scientist-related occupation. - Alternatively, will accept a Master’s degree in Data Science, Statistics, Mathematics, Physics, Economics, Operations Research or a related field, and 3 years of experience in the job offered or in a Data Scientist-related occupation. - Position requires 3 years of experience in the following: Coding in SQL, Python, or R to manipulate, analyze, visualize large datasets, and build models; Statistical analysis or quantitative data synthesis to draw inferences, identify trends, and solve product or business problems; User experience measurement or attribution modeling to evaluate customer interactions; Product analytics or business intelligence to define metrics, create dashboards, and measure success; and Stakeholder management or cross-functional collaboration to align objectives, gather consensus, and persuade leaders.