Data Science Principal
Tasks
- Automate data profiling matching and anomaly detection
- Build ETL and ELT pipelines
- Build automated validation frameworks
- Build close support tools for GL and sub ledger
- Build self-service analytics capabilities
- Co design audit ready data pipelines
- Collaborate on ERP and data platform integration
- Create feedback loops for data quality
- Define data requirements for machine learning workflows
- Design data analytics tools
- Develop dashboards for data health
- Enable AI builders with governed datasets
- Establish master data management standards
- Execute data mapping cleansing and migration
- Implement upstream data hygiene remediation
- Lead M and A data integration workstreams
- Maintain data dictionaries and lineage
- Own data quality scorecards
- Perform data due diligence for M and A
- Support SOX compliance initiatives
- Support Snowflake data warehouse deployment
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 Governance | Data Lineage | Data Management | Data Mapping | Data Quality | Data profiling | Data remediation | ELT | ERP | 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 | SQL | Snowflake | US GAAP
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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