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. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day.

One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being.

Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization.

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, 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.

This is a Data Scientist role in Bank of America Erica, Chat and Voice Technology team. Team builds next generation AI and Search platforms for the bank and enables AI virtual assistants across multiple channels and platforms. This position requires candidate to be well versed with various machine learning/AI techniques and NLP techniques in order to analyze data and develop models/algorithms to solve business problems. 

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

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

Required Skills

• Bachelor or Master’s Degree in Computer Science or related engineering field

• Knowledge of recent developments in AI space including but not limited to transformers, LLMs, and Generative AI
• Strong Python development skills
• Adept at leveraging ML/AI techniques to solve critical business problems with good understanding of Supervised, Unsupervised, and Reinforcement Learning.
• Good interpersonal communication skills for tech and business conversations
• Good analytical skills to break down requirements and solve complex problems

Desired Skills

• Background in mathematics or statistics
• Experience working on Java based applications
• Experience with open source search engines like SOLR, Elasticsearch
• Experience with Vector databases like Redis

Minimum Education Requirement: Bachelor Degree or equivalent working experience

Shift:

1st shift (United States of America)

Hours Per Week: 

40