p>Responsibilities: • Research, develop, and maintain data pipelines, statistical models, and advanced analytical solutions • Own projects end-to-end, including problem definition, implementation, validation, and iteration • Deliver high-quality analytical and modeling outputs with limited manager oversight • Collaborate closely with data science peers and cross-functional partners across business units • Help ensure data science processes and outputs align with broader team strategies and roadmaps • Provide guidance or informal mentorship to junior data scientists or analysts when needed • Contribute to improving data science practices, tooling, and documentation.
Requirements:
• 3+ years of experience in data science, applied analytics, or a related quantitative field (industry, academia, or both) • 2+ years of experience using SQL and Python and/or R to query, analyze, and manipulate data • 2+ years of experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing.