Data Scientist

Requirements: • No C2C or C2H. • Strictly US Citizen, Greencard holder • Python and SQL, statistical, testing, Google Cloud. CRM • Cloud service • Mainstream model algorithms - machine learning • Data oriented • PySPARK Qualifications: • Advanced (Master or above) degree with specialization in Statistics, Computer Science, Data Science, Economics, Mathematics, Operations Research or another quantitative field or equivalent. • 5+ years of experience in statistical methods and machine learning within industry and research. • Understanding of algorithmic complexity of model training and testing, particularly for real-time and near real-time models. • Has strong knowledge of causal inference techniques, Gen AI (LLM) implementation, or reinforcement learning. • Solid technical knowledge of A/B testing methodologies, experimental design, statistics and other analytical concepts. • Experience implementing scalable, distributed, and highly available systems using Google Cloud. • Proficient in Python and SQL Responsibilities: • Leverage data science to identify patterns as part of long term strategic assessments and recommendations • Build long-range predictive models to evaluate and optimize long term goals • Simulate and predict long term demand for various scenarios to assist with investment decisions • Clearly display data visualization to convey a point in programs such as Tableau • Develop a comprehensive knowledge of the business, and utilize it to derive exacting data science project requirements from general business problem discussions • Design and code data products that implement the full scope of ingesting and updating data, building and refreshing models, scoring using those models, and then serving results on an ad-hoc and on-demand basis • Help drive A/B testing for Marketing and Product teams through reporting and insight. • Find growth opportunities through customer segmentation and retention analysis. Create customer cohorts through predictive modeling and CRM database marketing. • Help manage prioritization in sprints and participate in daily scrums. • Partner closely with Marketing, Product, Ad Sales, Strategy, and Production teams to provide BI support and data analysis. • Create standardized reporting for multiple groups within the NBCED organization. • Provide ad-hoc analyses, troubleshooting, and deep dives as needed. • Create presentations