Data Scientist (AI/ML)

Plano, TX

Full-time

Onsite

Entry, Mid Level

Bank of America is committed to making financial lives better through every connection. The Data Scientist role involves analyzing large datasets to identify revenue opportunities and develop risk management strategies, while collaborating with stakeholders and utilizing machine learning and NLP techniques to deliver insights and solutions.

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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
Develop NLP/AI virtual assistants, Generative AI, and agentic AI solutions

Qualification

Required

2+ years of experience with machine learning and related techniques
Strong Python development skills
Knowledge of recent developments in AI space including but not limited to transformers, LLMs, Generative AI
Bachelor’s degree in Computer Science, Data Science, Mathematics, or related field or equivalent experience
Good understanding of a version control system like git to be able to efficiently collaborate with colleagues.
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, solve complex problems