Data Science Principal
San Francisco, California, United States
USD 176K-282K Senior-level Full Time
Tasks
- Automate data profiling matching and anomaly detection
- Build and operate ETL and ELT pipelines
- Build automated validation frameworks
- Build close support tools for GL to sub ledger and intercompany
- Co design audit ready data pipelines with traceable lineage
- Create dashboards for data health visibility
- Create self service analytics capabilities
- Define data requirements validate data quality and create feedback loops
- Design and develop data analytics tools
- Drive upstream data hygiene remediation
- Enable AI builders with clean governed datasets
- Establish and enforce master data management standards
- Lead M and A data due diligence and integration workstreams
- Own data dictionaries lineage and quality scorecards
- Partner with CIO on technology roadmaps and system integration
- Perform data mapping cleansing and migration plans
- Support ERP sub-ledger and enterprise data platform integration
- Support Snowflake data warehouse deployment
Perks/Benefits
- 401k 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 offices
Skills/Tech-stack
AI code generation | Anomaly Detection | Audit trails | Business Intelligence | Code generation | Data Cleansing | Data Governance | Data Lineage | Data Management | Data Mapping | Data Migration | Data Quality | Data Science | Data Warehousing | Data profiling | ELT | ERP integration | ETL | Extract Load Transform | Extract Transform Load | General controls | IT General Controls | Language Models | Large Language Models | Machine Learning | Master Data | Master Data Management | Python | SOX Compliance | SQL | Sigma | Snowflake | US GAAP
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Regions
Countries
States
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