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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist I - **Company:** Bank of America - **Location:** Jersey City, NJ, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Data Analysis, Big Data, C++ (Programming Language), Data Visualization, DevOps, Distributed Systems, R (Programming Language), Python (Programming Language), MATLAB, Machine Learning, Natural Language Processing, NoSQL, NumPy, Pattern Recognition, SAS (Software), Software Engineering, SQL Databases, Text Mining, Enterprise Data Management, Deep Learning, Pandas, Scikit Learn, Information Technology, Data Lineage - **Published:** October 31, 2026 - **Apply:** https://dejobs.org/x/x/385528C1269448C8AB87C1D5C52D255A/job/ ## About the Role * 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 ## 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., * 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, Bank of America and its affiliates consider for employment and hire qualified candidates without regard to race, religious creed, religion, color, sex, sexual orientation, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law, and as such affirms in policy and practice to support and promote the concept of equal employment opportunity, in accordance with all applicable federal, state, provincial and municipal laws. The company also prohibits discrimination on other bases such as medical condition, marital status or any other factor that is irrelevant to the performance of our teammates. View your "Know your Rights (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12.pdf) " poster. View the LA County Fair Chance Ordinance (https://dcba.lacounty.gov/wp-content/uploads/2024/08/FCOE-Official-Notice-Eng-Final-8.30.2024.pdf) .