Job description

Job Description:

Role Overview:

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.

Key Responsibilities:

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

Data visualization

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.

Data-oriented approach

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.

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