FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.

Data Scientist I
Bank of America. Analyze and interpret large datasets to identify revenue opportunities and develop risk management strategies .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Expertise in Data Analytics with a strong focus on Python, SQL, and Tableau for analyzing large datasets and developing actionable insights. Proficient in applying machine learning and statistical analysis to identify trends and optimize business strategies.
Highest-signal resume keywords
Data Analytics ExperiencePython ProgrammingSQL ProficiencyTableau VisualizationMachine Learning Application
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisStatistical AnalysisTrend IdentificationPattern RecognitionRisk Management StrategiesData NormalizationQuantitative ModelingTechnical DocumentationData VisualizationBusiness Analytics
Soft Skills
CollaborationCommunicationAdaptabilityProblem SolvingStakeholder Engagement
Tools & Technologies
Microsoft ExcelMicrosoft PowerBIAtlassian JiraAgile PracticesData Science Products
Industry Keywords
Artificial IntelligenceData ScienceRevenue OpportunitiesExecutive ManagementData Insights
Tech Stack
Tools & technologiesPythonSQLTableau
About the role
Key responsibilities & impact- Analyze and interpret large datasets to identify revenue opportunities and develop risk management strategies
- Collaborate with stakeholders to understand business problems and develop analytical solutions
- Collect, normalize, and publish key metrics for senior management
- Perform business analytics, trend identification, and pattern recognition using machine learning, text mining, and statistical analysis
- Apply agile practices to project management, solution development, deployment, and maintenance
- Create and maintain technical documentation for analytical solutions and production implementation
- Manage quantitative models, data science products, data analysis reports, and data visualizations
- Present technical concepts and analysis results to internal stakeholders
- Identify potential issues and develop controls to mitigate risk
- Research advances in data science and artificial intelligence
- Communicate insights to the Senior Leadership Team and CIO Partners
Requirements
What you’ll need- 8+ years’ experience in Data Analytics
- Python, Tableau, and SQL skills
- Ability to analyze and normalize large datasets for executive management
- Ability to use data to market, optimize, and clearly communicate organizational value
- Ability to bring different points of view together into a single aligned message
- Willingness to learn and adapt to new processes and technologies
- Knowledge of AI in relation to data analysis
- Experience using Microsoft Excel, Microsoft PowerBI, and Atlassian Jira (desired)
Benefits
Comp & perks- Affordable, competitive and flexible benefits
- Support for physical, emotional, and financial wellness
- Opportunities to learn, grow, and make an impact
- Paid time off
- Resources and support to employees
- Eligibility to participate in the annual discretionary incentive plan
- Annual discretionary award based on individual, line of business/group, and company performance