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, delivery tasks associated with the integration, cleaning, transformation, and control of data in operational and analytical data systems and presenting recommendations based on the findings. Job expectations include providing technical thought leadership by implementing complex data solutions and interactions across multiple systems and domains.

Responsibilities:

• Performs business analytics, which includes data analysis, trend identification, and pattern recognition, using advanced techniques (e.g., statistical analysis, machine learning, text mining, etc.) to support decision-making and drive data-driven insights

Maintains, improves, cleans, and manipulates large data for operational and analytics data systems, builds complex processes supporting data transformation, data structures, metadata, and data quality controls

• 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

Skills:

• Analytical Thinking
• Data Management
• Adaptability
• Attention to Detail
• Business Analytics
• Technical Documentation
• Written Communications
• Agile Practices
• Application Development
• Collaboration
• Data Visualization
• DevOps Practices
• Networking
• Policies, Procedures, and Guidelines Management
• Risk Management

Global 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.

We are looking for a Data Scientist who will help us discover the information advantage hidden in vast amounts of data, and help us make smarter decisions to deliver better products and services. Your primary focus will be in applying data engineering and data science techniques, that may include machine learning, deep learning, natural language processing, statistical analysis, and building high quality prediction systems integrating with our products and services. This role will work with other data scientists in the team on data science projects to enhance revenue and mitigate risk.

Key Responsibilities:

Individual contributor role practicing and enabling data science at Bank of America

Assembles large, complex data sets that meet requirements

Performs tasks of data wrangling and feature engineering

Performs ad-hoc analysis and presents results in a clear manner

Extends company's data with third party sources of information when needed

Ensures data integrity for analysis and modeling

Data visualization

Good applied statistics skills, such as distributions, statistical testing, regression, etc.

Data-oriented approach

Ability to manage multiple and competing priorities

Excellent written and verbal communication skills

Builds and optimizes classifiers using machine learning techniques

Required Skills:

Bachelor or Advanced Degree in a STEM discipline like computer science, Engineering, Statistics, Mathematics, Bioinformatics etc.

Strong STEM background

Knowledge of Machine Learning, NLP, Statistical Modeling, Quantitative Analysis, Forecasting, Data Visualization

Knowledge of machine learning techniques and algorithms, such as Gradient Boosted Trees, CNN, RNN LSTM, etc.

Proficiency in languages such as SQL, Python (scikit learn, pandas, numpy etc.), SAS

Prior experience with SQL and NoSQL databases, distributed computing Knowledge of data visualization tools like Tableau

Minimum of 2 years of relevant experience

Shift:
1st shift (United States of America)

Hours Per Week:
40