Senior Data Scientist – GBS IND

Key Responsibilities

• Individual contributor role enabling Artificial Intelligence (AI) research and development at Bank of America
• Code design, research and prototype implementations for next-generation Artificial Intelligence systems, Data Analytics, Model development & support, MRM process documentation and governance.
• Development & enhancement of models including evaluation of vendor-built models.
• Helps define the technology tool stack for the solutions, Evaluates and adapts new tools/framework/practices for team(s).
• Constantly seek better ways of solving technical problems and designing the solution, Research and evaluate Innovative approaches to Data Science problems. Identify gaps and work with appropriate partners to develop plans to close gaps.
• Collaborate with development teams to understand requirements, ensure the architecture is feasible to implement and subsequently implemented accurately.
• Use data assets to gain insights into current processes and models.
• Drive processing, cleansing, and verifying the integrity of data used for analysis.
• Build, improve and extend NLP capabilities in various domains.
• Communicate findings, opportunities and gaps in techniques, tools, and infrastructure to all levels of the organization.
• Take results from POC to development to production in collaboration with product engineers and iterate through the validation and recalibration cycles.
• Take a leadership role in the data science community of experts.
• Lead Data Quality metrics development and monitoring, internal process design and documentation.
• Feature engineering.
• Contribute to story refinement/defining requirements.
• Participate in estimating work necessary to realize a story/requirement through the delivery lifecycle.
• Adhere to team delivery/release process and cadence pertaining to code deployment and release.
• Mentor and manage junior talent.

Qualification & Requirements

Education – B.E./ B. Tech/M.E./M. Tech/BSC/MSC/BCA/MCA (prefer IT/CS specialization)

Experience Range – 10 to 15 years.

Foundational skills

• Strong technical experience in Machine Learning, NLP, Deep Learning, Statistical Modeling.
• Strong understanding of machine learning techniques and algorithms, capability, and skills to develop and enhance models.
• Strong hands-on in Implementing LLM Models, GEN-AI Models, OpenAI API’s.
• Strong hands-on design and development experience in Python.
• Experience with data visualization tools.
• Worked on the Data analysis libraries like pandas.
• Experience in web APIs.
• Hands on experience with various databases – Oracle, SQL server and working experience in SQL, PL/SQL
• Strong hands-on experience with Unix scripting, Database tools like TOAD, SQL Developer and Autosys etc.
• Strong problem solving, analytical and interpersonal skills.
• Ability to work effectively in a team environment.
• Strong written and oral communication skills. Should have the ability to clearly express ideas.
• Experience working with Agile Methodology
• Experience with automated SDLC solutions (CI/CD)

Desired skills

• Project management tool JIRA and Version Control tools Github, Bitbucket – will be an added advantage.
• Must be able to interact and co-ordinate with distributed & Cross-functional teams.
• Self-starter capability, ability to acquire new skills autonomously.
• Ability to present technical concepts to senior level business stakeholders.
• Assisting with the business cases and understanding stakeholder’s expectations and objectives
• Strong problem identification and solving skills.
• Excel in a fast paced, dynamic environment.

Benefits

• Insurance Benefits
• Retirement Benefits
• Vacation Policy
• Other Perks and Benefits…