Data Scientist I

Bank of America•Atlanta, GA

2d•Onsite

About The Position

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! 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.

Requirements

Data Analysis
Data Cleansing
Data Quality and Validation
Agile Practices
Technical Documentation
Written Communications
Research and Analytical Methods
Data management
Data Visualization
Presentation Skills
Risk Awareness
Adaptability
Problem Solving and ability to find creative solutions to data problems
Strong attention to detail and curiosity about data patterns and anomalies
Understanding of BofA Products, Policies, Procedures, and Guidelines
Ability to collaborate effectively within and between cross-functional teams
Awareness of the US marketplace and interest in major industries, consumer brands and financial transaction trends.
2-5 years of experience with data science/feature engineering/data engineering
Strong programming skills in SQL/SAS along with experience working with Teradata table structures
Familiarity with statistical and non-statistical analytical techniques
Experience with research methodology/design of experiments
Ability to work with incomplete/ambiguous information, organize available facts, and discern subtle patterns where others might sense only noise
Ability to integrate diverse information sources, tools and techniques into production processes

Nice To Haves

Bachelor’s degree in Math, Economics, Statistics, Engineering, Finance, Computer Science or similar discipline or related work experience is preferred

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
Contribute to the continued development and maintenance of the THOR information product.
Build working knowledge of THOR database structures, data sources, value-added attributes, and production processes.
Develop an understanding of the distributions, patterns, and data nuances within the 2 billion transactions housed by THOR each month and processed on a daily basis.
Support the analysis and evaluation of proposed product enhancements for production releases, while bringing a “learning laboratory” approach to solving data problems.
Apply established quality-control practices and maintain careful attention to detail throughout analysis, development, testing, documentation, and post-production validation.
Investigate data anomalies and communicate findings, questions, risks, and potential opportunities to the project team and appropriate business partners.
Evaluate alternative approaches for transaction categorization and other THOR value-added attributes using established research and testing methods.
Support ad hoc analytical requests, user documentation, training materials, and informational presentations for the THOR user community.
Collaborate with team members and cross-functional partners to complete assigned deliverables and resolve data or development issues.