Job Description

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day.

One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being.

Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization.

Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us!

As a “Data Scientist I” supporting Enterprise Information Product maintenance, enhancement, and development, the associate will play a pivotal role in ensuring the accuracy, efficiency, and relevance of our data-driven solutions. Collaborating closely with cross-functional teams, the associate will contribute to the enhancement and optimization of our existing products while assisting in the development of new offerings to address emerging challenges and opportunities within the organization.

Responsibilities:
1. Data Analysis: Conduct thorough analysis of large datasets to extract actionable insights and identify trends relevant to our information products.
2. New Project Development: Assist in the development and refinement of rule-based SQL logics, algorithms, and statistical techniques to improve the performance and effectiveness of our products.
3. Product Maintenance: Proactively monitor the performance of existing information products, troubleshoot issues, and implement necessary updates and enhancements.
4. Data Visualization: Create compelling visualizations and reports to communicate findings and facilitate understanding of complex data concepts for both technical and non-technical stakeholders.
5. Collaboration: Work closely with cross-functional teams including software engineers, product managers, and business analysts to ensure alignment of data science initiatives with business objectives.
6. Documentation: Maintain thorough documentation of methodologies, processes, and outcomes to support reproducibility and knowledge sharing within the team.
7. Continuous Learning: Stay abreast of industry trends, emerging technologies, and best practices in data science and analytics to continuously enhance skills and contribute to the advancement of our capabilities.

Skills:

• Adaptability
• Attention to Detail
• Business Analytics
• Technical Documentation
• Written Communications
• Agile Practices
• Application Development
• Collaboration
• Data Visualization
• DevOps Practices
• Artificial Intelligence/Machine Learning
• Networking
• Policies, Procedures, and Guidelines Management
• Presentation Skills
• Risk Management

Qualifications:
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.

- 3+ years of data driven analytical experience; if Masters or above, 1+ years of experience
- Solid understanding of data analysis techniques, machine learning algorithms, and statistical methodologies.
- Proficiency in programming languages such as SAS, Python, R, or SQL.
- Experience with data visualization tools such as Tableau, Power BI, or matplotlib.
- Experience of managing projects and tasks in JIRA, Confluence, and SharePoint.
- Ability to thrive in a fast-paced, dynamic environment and adapt to evolving priorities and requirements.

Preferred Qualifications:
- Previous experience working with enterprise information products or data-driven solutions.
- Familiarity with big data technologies and frameworks such as Hadoop and Teradata.
- Knowledge of database systems and data warehousing concepts.
- Experience in cleaning, reprocessing, and exploring large datasets.
- Certification in data science or related fields is a plus.

Shift:

1st shift (United States of America)

Hours Per Week: 

40

Job Tags

Full time, Shift work, Day shift,

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