Full Time
Principal Data Scientist
New York, NY, United States
As a Principal Data Scientist, you will build advanced machine learning models, including deep learning models, gradient boosting machines, time series models, statistical models and clustering analysis based on project requirements. Check model stability, model optimization and model performance measurements and perform exploratory data analysis, feature selection, and data visualization.
Salary Range - $170,373.00-$180,000.00
Responsibilities
Build advanced machine learning models, including deep learning models, gradient boosting machines, time series models, statistical models and clustering analysis based on project requirements.
Check model stability, model optimization and model performance measurementsand perform exploratory data analysis, feature selection, and data visualization.
Design, document,develop, code, and test advanced analytics models into scalable advanced analytics solutions.
Develop frameworks for tracking and measuring results produced by analytics models.
Researchnew machine learning techniques and advanced analytics solutions and implement them on Ether,our Machine Learning and Artificial Intelligence based platform.
Experiment and develop new machine learning algorithms for tasks, including balance forecasting, loss forecasting, credit risk models, and credit assignment.
Develop data pipelines, innovative feature engineering, and datamanipulation with data transformation.
Generate actionable insights and recommend optimized strategies, based on the analytical model, and perform sensitivity analysis.
Skills & Competencies
Master’s degree, or foreign degree equivalent, in Business Analytics, Statistics, Mathematics,Computer Engineering, or a related field and 4 years of experience in a related occupation.
Theposition also requires 4 years of experience in Machine Learning, Data Analytics, andVisualization.
4 years of experience creating Machine Learning pipelines and optimization
4 yearsof experience using open-source programming languages for large scale data analytics, includingdata handling and machine learning packages.
4 years of experience in creating machine learningmodels and strategies
1 year of experience in AI research and deep learning.
Telecommuting may be permitted. When not telecommuting, must report/appear into/at 50 West 47th Street, Suite 1614, New York, NY 10036.
Employer will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a background check and drug screen (as applicable).
Scienaptic is the world's leading AI-powered Credit Underwriting platform. Designed by seasoned Chief Risk Officers, its platform is creating industry-leading business impact in terms of lifts such as higher approvals (15-40%) and lower credit losses (10-25%). Last year alone, Scienaptic helped financial institutions evaluate 45 million credit applicants and approve over 15 million of them. Scienaptic's clients include Fortune 100 banks, credit unions, regional banks and FinTech's