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Data Scientist

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Bank of America

14d ago

  • Job
    Full-time
    Mid & Senior Level
  • Data
    IT & Cybersecurity
  • Charlotte

AI generated summary

  • You should have a quantitative degree, 3-5 years in data science, expertise in NLP and Generative AI, strong Python skills, knowledge of ML algorithms, and good communication abilities.
  • You will identify data-driven business opportunities, collaborate with teams, enhance applications for GPS products, and set strategies with fellow Data Scientists to prioritize development work.

Requirements

  • Required Qualifications:
  • Bachelor’s degree in a quantitative field such as: computer science, math, and physics
  • Minimum of 3 to 5 years of hands-on data science experience working in a highly technical environment
  • Extensive experience with Natural Language Processing techniques and Generative AI frameworks such as RAG, text embedding, finetuning, etc.
  • Strong understanding of data structures and algorithms with substantial Python experience
  • Understanding of how to frame a data science problem and a deep understanding of key machine learning algorithms (KMeans, boosting / bagging models, etc.)
  • Critical thinking skills; able to take feedback and transform it into strategic action
  • Strong verbal, communication, technical design, and documentation skills
  • Desired Qualifications:
  • Graduate level degree in a quantitative field such as, computer science, math, and physics or equivalent work experience
  • Experience with data visualization tools, such as D3.js, GGplot, and Matplotlib

Responsibilities

  • Work with stakeholders throughout the organization to identify opportunities for leveraging internal and external data to drive business solutions
  • Impact how teams strategically collaborate to drive the company forward and help create the future of data science within GPS
  • Responsible for the success and improvement of the applications that support development, research, and data science in GPS (the "products"), help set long-term vision and strategy for selective products, and collaborate with Data Scientists to meet the needs of the "users"
  • Work closely with other Data Scientists to set technical strategy and prioritize development work

FAQs

What is the primary purpose of the Data Scientist position at Bank of America?

The primary purpose of the Data Scientist position is to review and interpret large datasets to uncover revenue generation opportunities and to ensure the development of effective risk management strategies.

What kind of projects will the Data Scientist be involved in?

The Data Scientist will be involved in projects such as developing a Generative AI-powered search platform, a comprehensive machine learning model for foreign currency conversion, identifying optimal interest rates or product prices, and applying advanced NLP techniques for client insights.

What qualifications are required for this role?

Required qualifications include a Bachelor’s degree in a quantitative field, 3 to 5 years of hands-on data science experience, extensive experience with NLP techniques and Generative AI frameworks, strong Python programming skills, and a deep understanding of machine learning algorithms.

Is experience with data visualization tools necessary for this job?

While it is a desired qualification, having experience with data visualization tools such as D3.js, GGplot, and Matplotlib is considered beneficial but not strictly necessary.

What type of team collaboration is expected in this role?

The Data Scientist is expected to work collaboratively with stakeholders throughout the organization, including data engineers and other data scientists, to identify opportunities for leveraging data and to drive business solutions.

What skills are emphasized for success in this role?

Emphasized skills include Agile Practices, Application Development, DevOps Practices, technical documentation proficiency, strong communication skills, expertise in Artificial Intelligence/Machine Learning, and adaptability.

What is the work schedule for this position?

The position operates on a 1st shift schedule, with hours typically totaling 40 per week.

Does the role require strong critical thinking skills?

Yes, strong critical thinking skills are essential; the candidate should be able to take feedback and transform it into strategic action.

What is the culture like at Bank of America in the context of this role?

The culture emphasizes a commitment to diversity and inclusion, responsible growth, and a supportive workplace focused on the physical, emotional, and financial wellness of employees.

Is a graduate-level degree preferred for this position?

Yes, a graduate-level degree in a quantitative field or equivalent work experience is considered a desired qualification for this role.

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Bank of America

Helping to make financial lives better through the power of every connection.

1-10
Employees

Mission & Purpose

Bank of America is one of the world's largest financial institutions, serving individuals, small- and middle-market businesses and large corporations with a full range of banking, investing, asset management and other financial and risk management products and services. The company serves approximately 56 million U.S. consumer and small business relationships. It is among the world's leading wealth management companies and is a global leader in corporate and investment banking and trading. This LinkedIn company page is moderated. For more information, please visit: https://bit.ly/32FDdQr. For account issues, please visit: https://bit.ly/2GeTIeP.

Culture & Values

  • Deliver together

    We believe in the importance of treating each client and teammate as an individual and treating every moment as one that matters. We strive to go the distance to deliver, with discipline and passion. We believe in connecting person-to-person, with empathy and understanding. We believe everything we do for our clients, teammates and the communities we serve is built on a solid business foundation that delivers for shareholders.

  • Act responsibly

    We believe that integrity and the disciplined management of risk form the foundation of our business. We are aware that our decisions and actions affect people’s lives every day. We believe in making decisions that are clear, fair and grounded in the principles of shared success, responsible citizenship and community building.

  • Realize the power of our people

    We strive to help all of our employees reach their full potential. We believe that diverse backgrounds and experiences make us stronger. We respect every individual and value our differences - in thought, style, sexual orientation, gender, gender identity and expression, race, ethnicity, culture, age, ability and experience.

  • Trust the team

    We believe great teams are built on mutual trust, shared ownership and accountability. We act as one company and believe that when we work together, we best meet the full needs of our clients, and deliver value to our shareholders.