Data Scientist I

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. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.

Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being a diverse and inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.

At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

Job Description Details:

The data science team (within GPS) is working on more than five projects that are driving/will drive significant impact across the GPS business. Some examples include:

• A revolutionary approach leveraging advanced statistical methods to identify the best interest-rate or product price to provide to clients

• A Generative AI powered “chatbot-like” search platform that enables sales and product teams to quickly find high quality answers to product, servicing, and client related questions

• A comprehensive AI model that helps to move foreign currency conversion “up the payment stream” and away from the beneficiary banks

• Applying advanced NLP techniques to generate near real-time insights into what clients are reaching out to servicing teams about, providing servicing teams with constant information on how they can better serve clients

Who we’re looking for:

If you are passionate about working in cross-functional teams and utilizing your skills for technical product management, statistical analytics, predictive modeling, and generating revenue, consider applying to this role.

You will be responsible for a variety of challenging projects that require constant communication and collaboration with data engineers, data scientists and other internal teams. Utilizing extensive business and programming knowledge, you will help to tackle a variety of machine learning problems ranging from recommendation systems, stochastic optimization, and time series forecasting. You will also implement A/B testing and research emerging technologies, among other day-to-day duties.

Responsibilities:

• Work with stakeholders throughout the organization to identify opportunities for leveraging internal and external data to drive business solutions

• You will impact how teams strategically collaborate to drive the company forward and help create the future of data science within GPS

• You will be responsible for the success and improvement of the applications that support development, research, and data science in GPS (the "products"), help set long-term vision and strategy for selective products, and collaborate with Data Scientists to meet the needs of the "users"

• Work closely with other Data Scientists to set technical strategy and prioritize development work

Required Skills:

• Minimum of 3 years' of data science experience working in a highly technical environment

• Extensive experience with Excel and PowerPoint and an insatiable curiosity to understand how things work

• Solid understanding of data structures and algorithms with substantial Python experience

• Understanding of how to frame a data science problem and a high-level understanding of key machine learning algorithms (KMeans, boosting / bagging models, etc.)

• Take feedback and transform it into strategic action

Desired Qualifications:

• Data visualization tools, such as D3.js, GGplot, and Matplotlib expereince

Minimum Education Requirements: BA in a quantitative field such as: computer science, math, and physics or equivalent work experience

Skills:

• Adaptability

• Attention to Detail

• Business Analytics

• Technical Documentation

• Agile Practices

• Application Development

• Collaboration

• Data Visualization

• DevOps Practices

• Artificial Intelligence/Machine Learning

• Networking

• Policies, Procedures, and Guidelines Management

• Presentation Skills

• Risk Management

• Critical Thinking Skills

• Written Communications

• Verbal Communications

• Tech Design Skills

Shift:

Hours Per Week: