Description

You will design and implement data pipelines, models, and statistical methods to support data-driven program management.

Responsibilities

• Develop and apply statistical prediction, inference, and optimization methods to analyze data.
• Design and develop complex SQL queries, stored procedures, and views for database management.
• Tune existing database queries to ensure optimal performance.
• Build and maintain data pipelines and data model designs.
• Perform data gathering, evaluation, testing, and implementation for complex business analysis.

Required Skills

• Minimum of 5 years of recent, full-time experience as a Data Scientist.
• At least 3 years of experience in a lead position.
• 3 years of experience with Azure Databricks database and analytics platform.
• Proficiency in Python and R.
• Strong SQL skills for complex query development and performance tuning.
• Experience with Oracle, MS SQL Server, Azure PostgreSQL, or Denodo.
• Experience with Azure Cloud and Azure Data Factory.
• Experience with ETL tools such as IBM DataStage.
• Bachelor’s degree in Data Science, Machine Learning, Mathematics, Statistics, Business Analytics, Psychology, or Public Health with specific coursework in predictive analytics or quantitative research.

Preferred Skills

• Professional certifications such as CAP, Databricks Data Engineer, Azure Data Scientist Associate, or DASCA Senior/Principal Data Scientist.
• Experience with MS Power BI for data presentation.

Key Skills

Education

Bachelor's degree