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Description:
• Provide leadership for data science initiatives and derive actionable insights from complex datasets
• Collaborate with teams to identify opportunities and solve challenging problems
• Mentor team members
• Extract knowledge and insights from high volume, high dimensional data
• Confer with business partners for data analysis
• Identify meaningful insights from large data sources and communicate findings
• Harden models for production deployment and monitor performance
• Design scalable data infrastructure and pipelines
• Stay abreast of emerging technologies and evaluate their impact
• Mentor and provide technical guidance to team members
Requirements:
• Master’s or PhD degree in a mathematics, statistics, machine learning, data science, economics, computer science, operations research, or other quantitative field
• 8+ years of experience designing, building, and supporting advanced analytics models in a professional environment
• Experience with database Rational Database Management System (RDBMS) technologies (e.g., SQL server, Greenplum, Oracle)
• Experience with big data technologies (e.g., Snowflake, Hadoop, Spark, Hive, Databricks, Azure)
• Experience with data querying languages (e.g. Python, SQL)
• Experience with data visualization tool (e.g., Tableau, Power BI, Jupyter Hub)
Benefits:
• Employee-centric flexible environment with in-office, hybrid, and remote work arrangements
• Reasonable accommodations for applicants with disabilities
• Empowering, collaborative, dynamic workplace