Job Description:
At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day.
One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being.
Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization.
Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us!
Job Description:
This job is responsible for analyzing and interpreting large datasets to uncover potential revenue generation opportunities and develop effective risk management strategies. Key responsibilities include collaborating with key stakeholders to comprehend business problems, utilizing data gathering and analysis techniques to devise solutions, and presenting recommendations based on the findings. Job expectations include demonstrating flexibility, resilience, accountability, a disciplined approach, and a commitment to fostering responsible growth for the enterprise.
Key Responsibilities:
Performs tasks of data wrangling and feature engineering
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
Ensures data integrity for analysis and modeling
Data visualization
Experience
Strong experience with SQL and NoSQL databases, distributed computing
Strong STEM background - Knowledge of Machine Learning, NLP, Deep Learning, Statistical Modeling, Quantitative Analysis, Forecasting, Data Visualization
Knowledge 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++
Knowledge of data visualization tools
Minimum of 2 years of relevant experience
Education
Bachelor or Advanced Degree in a STEM discipline like computer science, Engineering, Statistics, Mathematics, Bioinformatics etc.
Responsibilities:
Skills:
Shift:
1st shift (United States of America)Hours Per Week:
40