Data Science Principal
New York, New York, United States
USD 176K-282K Senior-level Full Time
Tasks
- Automate data profiling matching anomaly detection
- Build M and A integration frameworks
- Build close support tools
- Build data analytics tools
- Build data mapping cleansing migration plans
- Co design audit ready data pipelines
- Create dashboards for data health visibility
- Create self service analytics capabilities
- Define data requirements validate input quality
- Design data integration strategy
- Develop automated data validation frameworks
- Drive upstream data hygiene remediation
- Enable AI builders with governed datasets
- Enforce master data management standards
- Lead M and A data due diligence
- Lead cross functional data projects end to end
- Maintain data dictionaries lineage documentation
- Operate ETL pipelines for data quality remediation
- 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 Trail | Automation | Data Cleansing | Data Governance | Data Lineage | Data Management | Data Mapping | Data Matching | Data Migration | Data Quality | Data Validation | Data profiling | 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
Roles
Data Engineer | Data Science | Data Science Principal | Engineer | Principal
Regions
Countries
States
Cities
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