Full job description 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 an 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. Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! Job Description: This job is responsible for analyzing and interpreting large datasets to help the Cybersecurity team protect the company against malware, data loss, and ddos attacks. This role is to have the data scientist work with teams across the organization to build models and new capabilities to improve operational efficiency & identify new threats which need to be remediated. 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. This individual will also need to work closely with all regulatory, audit, and risk management teams to make sure all models are built within the guidelines of Bank of America. Responsibilities: Performs business analytics, which includes data analysis, trend identification, and pattern recognition, using advanced techniques (e.g., machine learning, text mining, statistical analysis, etc.) to support decision-making and drive data-driven insights Applies agile practices for project management, solution development, deployment, and maintenance Creates and maintains technical documentation, capturing the business requirements and specifications related to the developed analytical solution and its implementation in production Manages multiple priorities and maintains quality and timeliness of work deliverables such as quantitative models, data science products, data analysis reports, or data visualizations, while exhibiting the ability to work independently and in a team environment Delivers engaging presentations and engages in both in-person and virtual conversations that effectively communicate technical concepts and analysis results to a diverse set of internal stakeholders, and develops professional relationships to foster collaboration on work deliverables Mitigates risk by identifying potential issues and developing controls Researches the latest advances in the fields of data science and artificial intelligence to support business analytics Required Qualifications 3-8 years’ experience with machine learning, text mining and/or statistical analysis: Experience using: Machine Learning Libraries Sklearn (scikit learn) Numpy Scipy Pandas Polars pyspark Tensorflow Torch Jax Huggingface lightgbm Skills: Adaptability Attention to Detail Business Analytics Technical Documentation Written Communications Shift: 1st shift (United States of America) Hours Per Week: 40