Data Scientist I

Bank of America • Charlotte, NC

18h • Onsite

About The Position

The Data Scientist analyzes and interprets large datasets to identify potential revenue opportunities and develop risk management strategies. The role collaborates with stakeholders to understand business problems, applies data-gathering and analysis techniques, and presents recommendations based on findings.

Within Application Production Services & Engineering (APS&E), the Data Scientist works across Engineering organizations to measure organizational effectiveness. The role collects and normalizes metrics, publishes them for senior management, and develops reporting from describing current state toward identifying optimization opportunities. It also helps communicate findings to the Senior Leadership Team and CIO Partners.

Requirements

• 8+ years of experience in data analytics.
• Python, Tableau, and SQL skills.
• Ability to analyze large datasets and normalize them for executive management consumption.
• Ability to use data to tell a story and clearly communicate organizational value, including opportunities to market and optimize.
• Ability to lead a team, bring together differing perspectives, and converge on an aligned message.
• Willingness to learn and adapt to new processes and technologies as the business evolves.
• Knowledge of AI in relation to data analysis.

Nice To Haves

• Experience using Microsoft Excel.
• Experience using Microsoft Power BI.
• Experience using Atlassian Jira.

Responsibilities

• Perform business analytics, including data analysis, trend identification, and pattern recognition, using techniques such as machine learning, text mining, and statistical analysis.
• Apply agile practices to project management, solution development, deployment, and maintenance.
• Create and maintain technical documentation covering business requirements and specifications for analytical solutions and their production implementation.
• Manage multiple priorities and deliver quality, timely quantitative models, data science products, analysis reports, and data visualizations.
• Work independently and collaboratively with teams.
• Present technical concepts and analysis results to diverse internal stakeholders in person and virtually, and build professional relationships to foster collaboration.
• Identify potential issues and develop controls to mitigate risk.
• Research advances in data science and artificial intelligence to support business analytics.
• Collect, normalize, and publish metrics measuring organizational effectiveness for senior management.
• Help mature reporting from current-state measurement to optimization and communicate findings to senior leaders and CIO Partners.

Benefits

• Access to paid time off.
• Annual discretionary incentive plan eligibility.
• Benefits eligibility.
• Resources and support for employees’ physical, emotional, and financial wellness.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed