Data Scientist - Full Time

We are seeking several Data Scientists for full time /permanent opportunities with our client, a large hospital system.

Salary: $120-170k based on years of experience and other factors

**PhD required

**7 years minimum years of data scientist experience required

Role Details:

This Position works to support the developer in the creation, maintenance, and improvement of products, primarily in the Power Platform suite, that facilitate comprehensive end-to-end data collection, transform raw data into actionable business insights through statistical analysis, KPI development, PowerBI dashboarding, and proven machine learning methods, and reduce or eliminate manual effort in data processing by automating common processes. The data scientist will propose, implement, and leverage AI and ML solutions to advance business intelligence capabilities. Data science tasks will include analysis, query, aggregation, visualization, extract/transform/load, complex statements, scripts, stored procedures, triggers, and implement business intelligence and data warehousing solutions. Mine data using state of the art methods.

1. Builds, maintains, and improves dashboards, applications, and automations within the Power Platform (PowerBI, Power Automate, and PowerApps), SharePoint, and InfoPath environments to reduce or eliminate manual effort in data processing by automating common processes.
2. Connects to and leverages application programming interfaces (APIs), system-to-system connections, and manual transfer of data as part of business intelligence extract, transforms, and load (ETL).
3. Builds predictive risk models backed by statistical analysis and support data-driven solutions.
4. Identifies and applies usages of AI and ML to extract key insights from unstructured system documentation for analysis, to automate of processes, and to integrate with other applications.
5. Develops and carry out full-service data calls, including creation of collection applications and forms, data normalization, data cleansing, and visualization.
6. Creates insightful and impactful business intelligence analysis and visualizations to be consumed by senior management, and IT system owners.
7. Researches and recommends business data storage and data integration solutions specific to the IT environment.
8. Develops user guides and documents for business intelligence products.
9. Finds and designs new approaches to handle, analyze, and use large data sets.
10. Solves complex data and storage issues.
11. Analyzes and reports results with actionable recommendations.
12. Connects to and leverage application programming interfaces (APIs), system-to-system connections, and manual transfer of data as part of business intelligence extract, transform, and load (ETL).
13. Incorporates data science tools such as scripting (SQL, R, Python, etc.) into existing and new services to continuously advance available offerings.
14. Identifies, understands, and connects new sources of business intelligence from enterprise holdings that answer key business intelligence questions from leadership.
15. Works on data collection for regular and ad-hoc data calls for internal and external customers, develops and enhances service requests portals, dashboards and visualizations integrating business data from SharePoint, applications, files, and internal and external data sources, creating and maintaining Power Automations supporting multiple business processes, integration of AI/ML into BI reporting, cleansing, and curation of business intelligence datasets, re-development of a quantitative cybersecurity risk assessment tool, and development of additional quantitative risk assessment tools.