Data Scientist

Strong knowledge and technical expertise in standards and technologies to support complex business analysis, data gathering and evaluation, data pipeline and data model design, development, testing and implementation. - Databases: Oracle, MS SQL Server, Azure PostgreSQL, Denodo - SQL: design and develop complex SQL queries, stored procedures, views, or to tune existing ones for optimal performance - Programming: Python, R - Azure Cloud - Azure Databricks - ETL Tools: Azure Data Factory, IBM DataStage etc. - Data presentation: MS Power BI Excellent communication and interpersonal skills

Experience Preferred

Minimum of five (5) years of recent, full-time paid experience as a Data Scientist carrying out complex data science projects that included independently developing and applying methods to identify, collect, process, structure, and analyze data using statistical prediction, inference, and optimization to support data-driven program design and management. At least three (3) of the five (5) years were in a lead position. Three (3) years of experience with Azure Databricks database and analytics platform.

Education Preferred

A bachelor’s degree from an accredited college or university in a field of applied research such as Data Science, Machine Learning, Mathematics, Statistics, Business Analytics, Psychology, or Public Health that included a minimum of 12 semester or 18 quarter units of coursework in data science, predictive analytics, quantitative research methods, or statistical analysis.

Professional Certification such as Certified Analytics Professional (CAP), Databricks Data Engineer, Databricks ML Engineer, Azure Data Scientist Associate, DASCA’s Senior or Principal Data Scientist Certification etc.

Additional Information

Candidates must be California residents only. The position will be 100% telework.