Data Scientist

SECURE ROOTS
Houston, United States of America
6 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Houston, United States of America

Tech stack

Artificial Intelligence
Artificial Neural Networks
Health Informatics
Computer Programming
Databases
Data as a Services
Data Discovery
ETL
Data Presentation
Decision Support Systems
Python
Machine Learning
Microsoft SQL Server
Power BI
SQL Stored Procedures
SQL Databases
Tableau
T-SQL
Information Technology
Data Analytics

Job description

  • Develop and maintain existing tools and KPIs of the EHC; support implementation in the field; stay abreast of new technology (including AI/ML and generative AI) and actively contribute ideas for new programs.
  • Collaborate with business partners and discipline experts (rotating, electrical, process, reliability) to understand requirements, prioritize use cases, and define appropriate technical solutions.
  • Lead technical development of advanced diagnostics, health analytics, and decision support tools-from data discovery/ETL through modeling, validation, and deployment.
  • Develop scalable data and analytics applications (e.g., MS-SQL/T-SQL, historian integrations, Tableau/Power BI) and create interactive dashboards and visualizations to communicate results.
  • Coordinate external data services and development with providers and conduct regular market research on remote monitoring and data analytics methods to continuously improve EHC efficiency and effectiveness.

Requirements

  • Bachelor's or Master's degree in Computer Science, Engineering, Statistics, Operations Research, or a related field with a specialization in data science/analytics (degree must be from an accredited institution or equivalent)
  • 5+ years of relevant industry experience developing analytics, predictive technologies, or decision support tools
  • Experience formulating and solving optimization, machine learning, forecasting, and/or statistical modeling problems (e.g., regression, segmentation, survival analysis, PCA, neural networks)
  • Strong programming skills in Python (and/or R) and proficiency with SQL (MS/T-SQL); ability to work with databases, stored procedures, and data quality/ETL concepts
  • Excellent communication and data storytelling skills; ability to succinctly convey complex solutions to stakeholders and executive leadership; willingness to travel domestically as needed

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