Data Scientist II

Bank of America; Hyderabad; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

Bank of America is seeking a professional who can enable analysis, modeling, and optimization by producing information products. This role supports research and development efforts and focuses on building sophisticated analytic systems that drive revenue, risk management, operational efficiency, regulatory compliance, portfolio management, and research.

Work with complex data and deploy advanced techniques like machine learning and text mining to deliver insights.

Qualifications

• High School Diploma / GED / Secondary School or equivalent.

Responsibilities

• Opportunity & Inclusion Champion: Creates an inclusive team where members are treated fairly and respectfully.
• Manager of Process & Data: Demonstrates and expects process knowledge, data driven decisions, simplicity and continuous improvement.
• Enterprise Advocate & Communicator: Delivers clear and concise messages that motivate, convey the “why” and connects contributions to business results.
• Risk Manager: Leads and encourages the identification, escalation and resolution of potential risks.
• People Manager & Coach: Knows and develops team members through coaching and feedback.
• Financial Steward: Manages expenses and demonstrates an owner’s mindset.
• Enterprise Talent Leader: Recruits, on-boards and develops talent, and supports talent mobility for career growth.
• Driver of Business Outcomes: Delivers results through effective team management, structure, and routines.

Education

High School Diploma / GED / Secondary School or equivalent

Job description

Job Description

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 requires familiarity with machine learning Dev ops life cycle and agile practices. Able to work independently or in a team on complex projects.

Managerial Responsibilities

• Opportunity & Inclusion Champion: Creates an inclusive team where members are treated fairly and respectfully.
• Manager of Process & Data: Demonstrates and expects process knowledge, data driven decisions, simplicity and continuous improvement.
• Enterprise Advocate & Communicator: Delivers clear and concise messages that motivate, convey the “why” and connects contributions to business results.
• Risk Manager: Leads and encourages the identification, escalation and resolution of potential risks.
• People Manager & Coach: Knows and develops team members through coaching and feedback.
• Financial Steward: Manages expenses and demonstrates an owner’s mindset.
• Enterprise Talent Leader: Recruits, on-boards and develops talent, and supports talent mobility for career growth.
• Driver of Business Outcomes: Delivers results through effective team management, structure, and routines.

Minimum Education Requirement

High School Diploma / GED / Secondary School or equivalent