Data Scientist I

Bank of America; Jersey City (NJ); On-site; USD 115,000 - 143,000; Full time

Benefits offered by this job

Annual discretionary plan

Benefits eligible

Job summary

Bank of America is seeking a Data Scientist in Jersey City to analyze large datasets, uncover revenue opportunities, and develop risk management strategies. You will collaborate with stakeholders to solve business problems, gather data, and present findings using advanced analytics and data-driven insights.

You will develop analytical solutions for credit risk, fraud analytics, and portfolio management, build dashboards, and support scorecards while maintaining data quality and process

Qualifications

• Master's degree or higher in Computer Science or related quantitative discipline.
• Strong STEM background with ML, NLP, DL, statistics, forecasting, data viz.
• Minimum 2 years of experience developing Tableau data visualizations and dashboards.
• Proficiency in Python, SQL, SAS, R and MATLAB, plus C/C++.
• Experience with SQL/NoSQL databases and distributed computing.
• Applied statistics skills and data quality concepts.
• Strong business analysis and documentation skills.

Responsibilities

• Develop analytical solutions for 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 workflows.
• Support credit risk scorecard development, monitoring, and stress testing.

Skills

Adaptability

Attention to Detail

Business Analytics

Technical Documentation

Written Communications

Agile Practices

Application Development

Collaboration

Data Visualization

DevOps Practices

Artificial Intelligence/Machine Learn

Networking

Policies, Procedures, and Guidelinese

Presentation Skills

Risk Management

Education

Master's degree or higher in Computer Science, Data Science, Statistics, Mathematics, Finance, or related quantitative discipline

Tools

Python

SQL

SAS

R

MATLAB

C/C++

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 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.

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:

1st shift (United States of America)

Hours Per Week:

40

Pay Transparency details

US - NJ - Jersey City - 525 Washington Blvd (NJ2525)

Pay and benefits information

Pay range

$115,000.00 - $143,000.00 annualized salary, offers to be determined based on experience, education and skill set.

Discretionary incentive eligible

This role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company.

Benefits

This role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.