Data Scientist II at Bank of America in New York City, NY

DATA SCIENTIST II Location: New York 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 and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates’ physical, emotional, and financial wellness through affordable, competitive and flexible benefits. We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve. Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! Job Description: What we’re building: 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 Required Skills: 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 • Consulting • Networking • Policies, Procedures, and Guidelines Management Shift: 1st shift (United States of America) Hours Per Week:  40 Pay Transparency details US - NY - New York - ONE BRYANT PARK - BANK OF AMERICA TOWER (NY1100) Pay and benefits information Pay range $165,000.00 - $246,200.00 annualized salary, offers to be determined based on experience, education and skill set. Discretionary incentive eligible This role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company. Benefits This role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.