We are seeking a Principal Data Scientist to design, build, and maintain large-scale data pipelines, collaborate with stakeholders, and lead business intelligence initiatives to drive infrastructure optimization and efficiency improvements. The ideal candidate has 8+ years of experience in data science or software engineering, a strong understanding of data governance, data quality, and data security principles, and excellent communication and collaboration skills.

Requirements

Design, build, and maintain large-scale data pipelines for statistical analysis and ML modeling
Collaborate with data scientists and other stakeholders to understand data needs and develop solutions

Create comprehensive data strategy to enable reporting and business analytics
Conduct research to evaluate data and answer strategic business questions
Generate actionable insights and enable reporting through data transformation, statistical analyses, or machine learning methods

Fine-tune and optimize algorithms and models to ensure scalability, reliability, and performance at a high level
Develop and maintain data architectures that support data warehousing, data lakes, and data governance
Work with cross-functional teams to integrate data pipelines
Ensure data quality, integrity, and security across all data pipelines and systems

Develop and maintain metrics and monitoring to ensure data pipeline performance and reliability
Champion data engineering and data science principles
Provide guidance and mentorship to junior data scientists, contributing to team knowledge and best practices
Stay up-to-date with the latest developments in machine learning, statistics, and data science, applying new techniques to improve processes and products