As a Data Scientist, you'll partner with cross-functional teams to tackle business challenges head-on using data-driven solutions, build, develop, and deploy advanced AI and machine learning models, and use diverse healthcare datasets to uncover actionable insights and optimize business processes.
Requirements
- BS/MS in a quantitative field (Computer Science, Data Science, Engineering, Information Systems, Economics)
- At least 4+ years of relevant data engineering/analytics engineering experience
- Proficiency with Python and SQL
- Hands-on experience with Snowflake, AWS (e.g., S3, Lambda), Amazon Redshift, Apache Spark, and Apache Airflow
- Familiarity with MongoDB, Oracle, Teradata, and/or SQL Server
- Strong track record building ETL/ELT pipelines, integrating diverse sources, orchestrating workflows, and implementing data quality, lineage, and governance
- Proven performance tuning and scalability practices
- Ability to translate business logic into technical requirements and analytical datasets
- Experience supporting feature engineering and model operations
- Proficiency in data manipulation, cleansing, and interpretation
- Ability to analyze results and present findings
- Clear written and verbal communication to convey complex methods and outcomes to technical and non-technical stakeholders
- Comfortable working cross-functionally and in cross-cultural environments
- Experience with support/maintenance projects, ticket handling, and change management
- Experience with Git and CI/CD workflows
Benefits
- Generous Paid Time Off
- 401k Matching
- Retirement Plan
- Healthcare Services
- Competitive Salary