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. 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.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 analyticsSkills:• Adaptability• Attention to Detail• Business Analytics• Technical Documentation• Written Communications• Agile Practices• Application Development• Collaboration• Data Visualization• DevOps Practices• Artificial Intelligence/Machine Learning• Networking• Policies, Procedures, and Guidelines Management• Presentation Skills• Risk ManagementGlobal Risk Analytics (GRA) and Enterprise Independent Testing (EIT) are sub-lines of business within Global Risk Management (GRM). Collectively, they are responsible for developing a consistent and coherent set of models, analytical tools, and tests for effective risk and capital measurement, management and reporting across Bank of America. GRA and EIT partner with the Lines of Business and Enterprise functions to ensure the capabilities it builds address both internal and regulatory requirements, and are responsive to the changing nature of portfolios, economic conditions, and emerging risks. In executing its activities, GRA and EIT drive innovation, process improvement and automation.The Data Science for Technology, Risk and Operations (DSTRO) team, a sub-line of business within GRA, is responsible for developing, enhancing and maintaining the Enterprise Information Products (EIPs) dataset. Additionally, DSTRO leverages artificial intelligence to enhance the efficiency and effectiveness of Enterprise Information Testing (EIT) and oversees the development of Natural Language Processing (NLP) solutions. The team is also dedicated to advancing Data Science and Artificial Intelligence (AI) capabilities and execution within GRA, working closely with Global Technology, Global Operations, Model Risk Management, and the AI Policy, Strategy, and Governance teams to establish a robust operational framework for both vendor and internal technology and operations models.The Team:We are the Model Development Executive Support team within Data Science for Technology, Risk and Operations (DSTRO) within the Global Risk Analytics organization. We support certain organizations as they develop models.Job Description:The role is to work with Model Development/Stakeholders to understand their models and to work with them in partnership to review required model documentation with the goal to improve the quality/content of the document to enable a quicker/smoother Model Approval.You will work as an individual contributor within the document review team to handle requests for document review. You will review the document, add comments and feedback and work with the author in a timely manner to progress the document to the approval phase.Required Skills:• Artificial Intelligence/Model Development• Highly proficient in Model Technical Documentation• Proficient in written and verbal communications• Strong track record of partnering and finding common ground• Eager to work with more junior model developers to help mentor• Comfortable working in a dynamic, fast paced environment (Adaptability)• Excellent with Presentation Skills and Proficient in using Data Visualization• A focus on Risk Management• Has worked with Policies, Procedures, and Guidelines Management• Comfortable and happy to leverage Workforce Diversity ManagementDesired Skills:• Prior experience working as a Model Validator• Prior experience working as a Data Scientist• Prior experience working with teammates/customers across the globe• Proficient in Business Acumen• Attention to details• Being well organizedShift:1st shift (United States of America)Hours Per Week:40