Salary
💰 $99,200 - $165,300 per year
Tech Stack
AWSAzureCloudGoogle Cloud PlatformKerasPythonScikit-LearnTensorflow
About the role
- Collaborate on Data Science projects with business stakeholders.
- Explore data and the implementation of varied data-driven methods to impact enterprise-level strategy, facilitate decision making, and achieve key objectives.
- Apply advanced analytics and machine learning during implementation, as needed based on project scope.
- Extract and transform data from multiple sources in preparation for prescriptive or predictive data analysis, modeling, and reporting.
- Deploy tools to integrate, report, and interpret large data sets with structured and unstructured data.
- When required, complete model risk management documents.
- Apply supervised and unsupervised learning methods to glean meaningful information from various data.
- Serve as a data subject matter expert, improve data literacy, and act as a data consultant for assigned areas of the business.
- Collaborate with other data stakeholders for support and access to appropriate data and data sources.
- Continuously seek out industry best practice and skills development to create new capabilities for data analytics and data science.
- Project management
- Utilize publicly available machine learning or deep learning tools such as TensorFlow, Keras, Scikit-learn, etc. in pursuit of business objectives
- May mentor and support other data-related roles to provide data-driven tools and insights.
Requirements
- Bachelor's Degree or the equivalent experience. Specialty: applied math, statistics, computer science, engineering, econometrics, or related field. (Required)
- Master's Degree or the equivalent experience. Specialty: applied math, statistics, computer science, engineering, econometrics , or related field. (Preferred)
- 5 or more years machine and/or deep learning, data mining, large datasets, and complex relational data models (structured and unstructured). (Required)
- 5 or more years programming with Python. (Required)
- 3 or more years experience with TensorFlow, Scikit-learn, Keras, Torch and NLP libraries. (Required)
- 2 or more years Cloud computing experience. (Required)
- 3 or more years experience with NLP techniques such as tokenization, etc. (Preferred)
- Working knowledge of various supervised and unsupervised learning methods such as logistic regression, bagging & boosting, clustering, neural nets, etc. (Required)
- Working knowledge of machine learning/deep learning techniques, applications, and libraries. (Required)
- Hands-on experience with AWS, GCP, or Azure. Able to utilize API endpoints. (Required)
- Effective communications skills and ability to articulate recommendations to varied audiences (Required)
- As a condition of employment, individuals must be authorized to work in the United States without sponsorship for a work visa by Fulton Bank currently or in the future.