Partner with product and engineering teams to translate business requirements into data-driven solutions and analytical frameworks
Design and implement advanced statistical methodologies and predictive models to enhance data analysis capabilities
Deliver clear actionable insights through effective data visualization and comprehensive reporting to key stakeholders
Drive operational efficiency by developing and deploying analytics solutions that provide meaningful business intelligence
Lead data quality initiatives and establish data governance standards
Architect and optimize data pipelines for scalable analytics solutions
Develop automated monitoring systems for data integrity and model performance
Maintain expertise in emerging data technologies and industry best practices while continuously improving analytical processes

10+ years of experience in quantitative analysis and data science
Expert proficiency in SQL, data modeling, and data warehouse optimization, including Redshift query and table design
Deep understanding of data lake architectures, ETL processes, data catalog management, and data lineage/impact analysis
Experience designing and optimizing data pipelines and productionizing models for both batch and streaming data workloads
Familiarity in stream processing technologies, including Apache Flink, Spark, Kafka
Hands-on experience with AWS data platforms, including EMR cluster management and performance optimization
Ability to apply industry best practices across analytics, data engineering, and applied data science workflows
Analytical, problem-solving, and independent decision-making skills to resolve complex data challenges
Effective verbal, written, and data-driven communication, including presenting complex findings to diverse audiences
Excellent collaboration and partnership skills across technical and non-technical teams

Data Scientist

Key skills