Data Warehouse Architect w/ AI & R Python

Overview

On Site
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 31 day((s))
100% Travel

Skills

Data Modeling
JavaScript
Stored Procedures
Triggers
Data Quality
Data Management
Oracle PL/SQL
Data Warehouse
Database Design
Computer Science
Python
Star Schema
Snowflake schema
Insurance industry
Machine learning
Predictive systems
AI systems
Spotfire
IronPython
R programming
ETL pipelines
Data Migrator
Workers' Compensation
Medical billing
Claims processing
DBL
PFL
Underwriting
Premium
Payroll
Graph database
Neo4j
Cypher
GDS
Query optimization
Data governance
Data lineage
Data Science

Job Details

  • 84 months Data Modeling experience in designing and creating DataMart, Data warehouse using Star & Snowflake Schemas in Insurance industry

  • 84 months experience with designing and implementing ML, Predictive and AI systems.

  • 84 months experience with Spotfire Analyst, Web Player using Iron Python, Python, Java Scripts, and R

  • 84-month experience in developing, documenting, maintaining end to end ETL data pipeline using IBI Data Migrator (or similar tools)

  • 24 months experience in developing data warehouse in Workers' Compensation Insurance industry (Medical Billing, Claims, DBL, PFL, Underwriting, Premium and payroll)

  • 36 months experience in Graph Database (Neo4j, Cypher, GDS)

  • 84 months experience in Oracle PL/SQL development, including triggers, stored procedures, packages, and advanced query optimization, database design and implementation.

  • 48 months experience in implementing data governance programs including solid knowledge of (data management, data quality, and data lineage )

  • Bachelor's Degree in Computer Science

  • Master Degree in Computer Science or Data Science

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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.
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