Data Warehouse Architect w/ AI & R Python
Data Warehouse Architect w/ AI & R Python
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Salary Not Disclosed
1 Vacancy
Job Description
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84 months Data Modeling experience in designing and creating DataMart Data warehouse using Star & Snowflake Schemas in Insurance industry
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84 months experience with designing and implementing ML Predictive and AI systems.
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84 months experience with Spotfire Analyst Web Player using Iron Python Python Java Scripts and R
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84-month experience in developing documenting maintaining end to end ETL data pipeline using IBI Data Migrator (or similar tools)
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24 months experience in developing data warehouse in Workers Compensation Insurance industry (Medical Billing Claims DBL PFL Underwriting Premium and payroll)
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36 months experience in Graph Database (Neo4j Cypher GDS)
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84 months experience in Oracle PL/SQL development including triggers stored procedures packages and advanced query optimization database design and implementation.
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48 months experience in implementing data governance programs including solid knowledge of (data management data quality and data lineage )
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Bachelors Degree in Computer Science
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Master Degree in Computer Science or Data Science
Agency: New York State Insurance Fund
Detailed Job Description: Continue the effort of building NYSIF Enterprise Data Warehouse (onpremise) consolidating and retiring multiple legacy Data marts with the goal of eliminating unnecessary duplication establish single source of truth improve data quality increase efficiency in BI team and reduce maintenance cost. The hired consultant will focus on creating dashboard to facilitate claims/underwriting insight and decision making. Consultant also will develop predictions models in R/Python and operationalizing prediction models created by data scientists team implementing enterprise data catalog full data lineage and will also help with integrating financial transactions cash flows external auditors requests and accounting reporting into NYSIF Enterprise Data Warehouse. The consultant will assist in recommending DataMart and Data warehouse and Data Governance best practices and procedures. Design graph data models for the purpose of developing fraud detection predictive models using Neo4j.Employment Type
Full-time
