Data Scientist I — AI & ML Research Engineer

National Black MBA Association; New York (NY); On-site; USD 107,000 - 193,000; Full time

Benefits offered by this job

Benefits

Discretionary incentive plan

Annual discretionary award

Job summary

Bank of America’s GPS Data and AI team seeks a highly technical Research Engineer who can translate complex concepts into actionable insights and scalable ML pipelines. The role blends research, engineering, and product responsibilities across recommendations, NLP, and time‑series forecasting, with large A/B testing to push data-driven innovation.

You will work with cross‑functional teams to deploy models into production, drive revenue‑driven insights, and shape data science capabilities within

Qualifications

• Bachelor’s degree in a quantitative field (CS, math, statistics, physics)
• At least 3 years translating mathematical models and algorithms into production code (Python and/or C++)
• Strong foundation in probability, statistics, and applied machine learning (NLP, time-series, Generative AI)
• Experience in a highly technical data‑driven research environment

Responsibilities

• Frame abstract business problems using advanced data science and machine learning algorithms
• Work with stakeholders across the organization to identify opportunities for leveraging data to drive business solutions
• Own critical research and application development, strengthening the firm's competitive advantage
• Shape cross‑team collaboration to advance the firm's data science capabilities

Skills

Python

C++

Probability & statistics

Machine learning

NLP

Time-series analysis

Generative AI

Communication

Education

Bachelor's degree in a quantitative field (CS, math, stats, physics)

Graduate degree in a quantitative field

Tools

Python

C++

Job description

Bank of America’s GPS Data and AI team seeks a highly technical Research Engineer who can translate complex concepts into actionable insights and scalable ML pipelines. The role blends research, engineering, and product responsibilities across recommendations, NLP, and time‑series forecasting, with large A/B testing to push data-driven innovation.

You will work with cross‑functional teams to deploy models into production, drive revenue‑driven insights, and shape data science capabilities within