Senior Data Scientist / AI Engineer
SoHo Dragon
AWSAzureCloudPandasPythonPyTorchScikit-LearnSparkTensorflow
Data Scientist I
Bank of America
full-time
Posted on:
Location Type: Hybrid
Location: Chicago • Illinois, Massachusetts, New York • 🇺🇸 United States
Visit company websiteSalary
💰 $105,000 - $193,700 per year
Job Level
Mid-LevelSenior
Tech Stack
HadoopJavaKafkaPythonSQL
About the role
- 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.
- 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.
Requirements
- A minimum of 3 years of experience in data and analytics is required.
- Must be proficient with SQL and one of SAS, Python, or Java.
- Critical problem-solving skills including selection of data and analytical approach.
- Experience providing thought leadership, developing deliverables, and working with limited direction on complex problems to achieve project goals.
- Effective communication and influencing skills.
- Thrives in fast-paced and highly dynamic environment.
- Intellectual curiosity and strong urge to figure out the "whys" of a problem and come up with creative solutions.
- Experience handling data across its lifecycle in a variety of formats and storage technologies (e.g., structured, semi-structured, unstructured; graph; hadoop; kafka).
- Experience with data analytics and/or technical development lifecycles.
Benefits
- This role is currently benefits eligible.
- We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data analysismachine learningtext miningstatistical analysisSQLSASPythonJavadata visualizationquantitative modeling
Soft skills
critical problem-solvingeffective communicationinfluencing skillsintellectual curiositycollaborationindependencetime managementpresentation skillsadaptabilitycreativity
