Data Science Principal
Seattle, Washington, United States
USD 176K-282K Senior-level Full Time
Tasks
- Automate data profiling matching and anomaly detection
- Build and operate ETL and ELT pipelines for source remediation
- Build close support tools for GL sub ledger and intercompany
- Build data analytics tools
- Co design audit ready data pipelines with lineage and audit trails
- Create dashboards for data health
- Create self service analytics capabilities for finance teams
- Define data requirements validate input data quality and feedback loops
- Design data integration strategy across ERP sub ledgers and data platform
- Develop automated validation frameworks
- Enable data access for ML and LLM initiatives
- Enforce data quality and hygiene upstream
- Establish master data management standards
- Lead M A data due diligence and integration workstreams
- Maintain data dictionaries lineage and quality scorecards
- Partner with CIO on enterprise architecture and system integration
- Perform data mapping cleansing and migration for acquisitions
- Support Snowflake data warehouse deployments
Perks/Benefits
- 401k employer match
- Discretionary paid time off
- Emotional and mental wellness support
- Employee resource groups
- Fitness programs
- Learning and development programs
- Medical, dental, vision plans
- Paid parental leave
- Snacks in office
Skills/Tech-stack
Anomaly Detection | Audit trails | Data Cleansing | Data Governance | Data Lineage | Data Management | Data Mapping | Data Migration | Data Quality | Data Science | Data dictionaries | Data profiling | ELT | ERP | ETL | General controls | IT General Controls | Language Models | Large Language Models | Machine Learning | Master Data | Master Data Management | Python | SOX | SQL | Self-Service | Self-service analytics | Service analytics | Snowflake | US GAAP
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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