We are looking for a Data Scientist who will help us discover the information advantage hidden in vast amounts of data, and help us make smarter decisions to deliver better products and services. Your primary focus will be in applying data science techniques, including machine learning, deep learning, natural language processing, statistical analysis, and building high quality prediction systems integrating with our products and services. This role will work with other data scientists in the team on data science projects to enhance revenue and mitigate risk.
Individual contributor role practicing and enabling data science at Bank of America
Builds and optimizes classifiers using machine learning techniques
Performs ad-hoc analysis and presents results in a clear manner
Extends company’s data with third party sources of information when needed
Performs tasks of data wrangling and feature engineering
Ensures data integrity for analysis and modeling
Required and Desired Qualifications:
Strong STEM background, Knowledge of Machine Learning, NLP, Deep Learning, Statistical Modeling, Quantitative Analysis, Forecasting, Data Visualization
Knowledge of of machine learning techniques and algorithms, such as Gradient Boosted Trees, CNN, RNN LSTM, etc.
Proficiency in languages such as Python (scikit learn, pandas, numpy etc.) SAS, SQL, R & MATLAB, C/C++
Prior experience with SQL and NoSQL databases, distributed computing
Knowledge of data visualization tools
Minimum of 2 years of relevant experience
Good applied statistics skills, such as distributions, statistical testing, regression, etc.
Ability to manage multiple and competing priorities
Excellent written and verbal communication skills
Bachelor or Advanced Degree in a STEM discipline like computer science, Engineering, Statistics, Mathematics, Bioinformatics etc.