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
Benefits
- Competitive benefits based on parity and consistency
- Flexible medical, life insurance, and retirement options
- Volunteer programs
- Inclusive workforce that promotes opportunities for all
Follow us on social media