Data Scientist I

Company Name: Bank of America
Location: New York, NY
Date Posted: 29th Jun, 2016

Responsible for enabling analysis, modeling, and optimization through producing information products. Involved in the research and development efforts. Primary requirement is not related to traditional programming or systems analysis skills, but to the ability to support the creation of sophisticated, value-added analytic systems that support revenue generation, risk management, operational efficiency, regulatory compliance, portfolio management, and research. These systems must overcome issues of complex data (e.g., VLDB, multi-structured, ‘big data‘, etc.) as well as deployment of advanced techniques (e.g., machine learning, text mining, statistical analysis, etc.) to deliver insights. This role often possesses a degree in hard science or another heavy quantitative business or social discipline. Able to work independently or in a team on complex projects. 

The data scientist will:

      Participate in business partner and department meetings and lead requirements gathering, ideation, design thinking, prototyping, & interactive data sessions or providing advanced visualizations

      Interact with vendor for enhancements or issues with software

      Innovate and advance BI services (i.e. best in class tools) commensurate with business partner or department needs

      Drive continuous improvements to keep BI architecture and solutions aligned with current & future business needs


·         Advanced degree in a quantitative discipline (data science, machine learning, statistics, mathematics, operations research, etc.), formal training preferred or significant exposure through work

·         Experience in report design, development, analysis & implementation especially using Business Intelligence

·         Uncovers opportunities for improvement

·         Excellent analytical, strategic planning, complex problem resolution and leadership skills

·         Ability to think on feet and make well-reasoned decisions with suboptimal information

·         Ability to translate complex business problems into discrete quantifiable components

·         Excellent written & verbal communication skills

·         Technical aptitude with SQL, understands relational databases

·         Candidate should have some experience working in a financial services environment

·         Candidate will also have experience using Business Intelligence Tools such as Spotfire, Qlik, or Tableau

·         Candidates must be able to work in a team environment as well as independently

·         Understanding of treasury, credit products as well as service, fulfillment and operations for corporate and      commercial clients

·         Consulting experience or MBA

·         Experience with R, Java, Python, HTML