Data Scientist II

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 aplications 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"

• You will work closely with other Data Scientists to set technical strategy and prioritize development work, Bank of America and its affiliates consider for employment and hire qualified candidates without regard to race, religious creed, religion, color, sex, sexual orientation, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law, and as such affirms in policy and practice to support and promote the concept of equal employment opportunity, in accordance with all applicable federal, state, provincial and municipal laws. The company also prohibits discrimination on other bases such as medical condition, marital status or any other factor that is irrelevant to the performance of our teammates.

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Strongly Preferred:

• Bachelor's degree in a quantitative field such as: computer science, math, and physics

• You have 3-5 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.)

• Critical thinking skills; able to take feedback and transform it into strategic action

• Strong verbal, communication, technical design and documentation skills

Desired Skills:

Nice to have:

• Graduate level degree in a quantitative field such as, computer science, math, and physics

• Experience with data visualization tools, such as D3.js, GGplot, and Matplotlib

Skills:

• Agile Practices

• Application Development

• DevOps Practices

• Technical Documentation

• Written Communications

• Artificial Intelligence/Machine Learning

• Business Analytics

• Data Visualization

• Presentation Skills

• Risk Management

• Adaptability

• Collaboration

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