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 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:
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 analytics

As a Data Scientist on the team, key Responsibilities will involve:

• Develop analytical solutions supporting credit risk, fraud analytics, customer segmentation, and portfolio management.
• Extract, transform, and analyze large datasets from enterprise data platforms.
• Build dashboards, reports, and automated analytical workflow / solutions
• Support credit risk scorecard development, monitoring, performance tracking, and stress testing.
• Perform data quality validation, reconciliation, and process improvement initiatives.
• Conduct portfolio analytics, segmentation, trend analysis, and loss forecasting
• Extends company’s data with third party sources of information when needed

Requirements:

• Master's degree or higher in Computer Science, Data Science, Statistics, Mathematics, Finance, or a related quantitative discipline.
• Strong STEM background - Knowledge of Machine Learning, NLP, Deep Learning, Statistical Modeling, Quantitative Analysis, Forecasting, Data Visualization
• Minimum 2 years of experience developing tableau data visualization, reports and dashboards.
• Proficiency in languages such as Python (scikit learn, pandas, numpy etc.), SQL, SAS, R & MATLAB, C/C++
• Prior experience with SQL and NoSQL databases, distributed computing
• Applied statistics skills, such as distributions, statistical testing, regression, etc.
• Strong business analysis and documentation skills, including requirements, process flows, and data lineage
• Ability to manage multiple and competing priorities
• Excellent written and verbal communication skills

Skills:

• 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 Management

Shift:

Hours Per Week: