Requirements:
- 1-4 years of industry experience, including internships.
- Valid work authorization in the United States.
- Strong collaborative interpersonal skills.
- Proficiency in data ingesting, cleansing, feature engineering, and statistical estimation.
- Experience with machine learning and hypothesis testing.
- Ability to analyze healthcare data for actionable insights.
Must Have:
- Experience with datasets of at least 100K rows.
- Proficient in wrangling "Ugly Data."
- Solid understanding of basic SQL features.
- Experience with machine learning and statistics on non-training datasets.
- Strong Python skills, including ML libraries.
Plus:
- Familiarity with Jupyter Notebooks and source control software.
- Experience with distributed computing and healthcare data.
- Knowledge of BI dashboarding tools.
- Proficiency in Object-Oriented Design and Functional Programming.
- Excellent written and verbal communication skills.
Advanced Experience:
- Expert knowledge of SQL queries for processing large datasets.
- Thorough understanding of SQL windowing functions.
- Experience with indexing, stored procedures, and materialized views.
- Handling datasets ranging from 10M to 10B rows.
- Experience with DevSecOps procedures and major Cloud environments.
- Knowledge of Repeated Measures Statistical methods and forecasting.
- Performance optimization for data science development.
- Familiarity with stacks, CQRS data structures, and state machines.
- Understanding of Semi-Structured and UnStructured data and NLP packages.
- Artificial Intelligence and Neural Network experience.
- Comfortable presenting to business stakeholders and executives.