Data Scientist I

Bank of America • Pennington, AL

1d • $109,000 - $180,500 • Onsite

About The Position

This job is responsible for analyzing and interpreting large datasets to uncover potential revenue generation opportunities and develop effective risk management strategies. Key responsibilities include collaborating with key stakeholders to comprehend business problems, utilizing data gathering and analysis techniques to devise solutions, and presenting recommendations based on the findings. Job expectations include demonstrating flexibility, resilience, accountability, a disciplined approach, and a commitment to fostering responsible growth for the enterprise.

Position Summary:
The Data Scientist will work across the Engineering organizations within Application Production Services & Engineering (APS&E) to quantify and measure the overall effectiveness of the organization. This individual will work alongside other team members to collect key metrics, normalize them, and publish them to be consumed by senior management. Initially the reporting will focus on “what we currently have”, but will mature into “how can we optimize”, and then will help communicate the message to the Senior Leadership Team, and to the respective CIO Partners.

Requirements

• 8+ years’ experience in Data Analytics, with Python, Tableau and SQL skills
• Ability to analyze large datasets and normalize them in a consumable way by executive management
• The ability “to tell a story” by using data to market, optimize, and clearly provide the value of the organization
• A team leader, who can bring different points of view and converge on a single aligned message
• A willingness to learn and adapt new processes and technologies as the business continues to evolve
• Knowledge of AI in relation to data analysis

Nice To Haves

• Experience using Microsoft Excel, Microsoft PowerBI, Atlassian Jira

Responsibilities

• Performs business analytics, which includes data analysis, trend identification, and pattern recognition, using advanced techniques (e.g., machine learning, text mining, statistical analysis, etc.) to support decision-making and drive data-driven insights
• Applies agile practices for project management, solution development, deployment, and maintenance
• Creates and maintains technical documentation, capturing the business requirements and specifications related to the developed analytical solution and its implementation in production
• Manages multiple priorities and maintains quality and timeliness of work deliverables such as quantitative models, data science products, data analysis reports, or data visualizations, while exhibiting the ability to work independently and in a team environment
• Delivers engaging presentations and engages in both in-person and virtual conversations that effectively communicate technical concepts and analysis results to a diverse set of internal stakeholders, and develops professional relationships to foster collaboration on work deliverables
• Mitigates risk by identifying potential issues and developing controls
• Researches the latest advances in the fields of data science and artificial intelligence to support business analytics

Benefits

• Access to paid time off
• Resources and support to our employees
• Discretionary incentive eligible
• Eligible for annual discretionary award based on individual performance, line of business performance, and overall company success.

What This Job Offers

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