Develop and deploy data-driven solutions to business problems, strategy, and opportunities within the Fulton Bank footprint
Requirements
- 5 or more years data mining, deep learning algorithms, large datasets and complex relational data models
- 2 or more years programming with Python or SAS
- 2 or more years experience with TensorFlow, Scikit-learn, Keras, Torch, or NLP libraries
- Working knowledge of various supervised and unsupervised learning methods such as logistic regression, Support Vector Machine (SVM), decision tree, clustering, neural nets, etc.
- Knowledge of machine learning/deep learning techniques, applications, and libraries
- Knowledge of with cloud platforms such as Azure/GCP/AWS and utilizing API endpoints, and some familiarity with M/L ops and application development/deployment
Responsibilities
- Collaborate on Data Science projects with business stakeholders
- Extract and transform data from multiple sources in preparation for prescriptive or predictive data analysis, modeling, and reporting
- 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
- Utilize publicly available machine learning or deep learning tools such as TensorFlow, Keras, Scikit-learn, NLTK, etc. in pursuit of business objectives
- Project management
Other
- Bachelor's Degree or the equivalent experience in applied math, statistics, engineering, econometrics, or related field
- Effective communications skills and ability to articulate recommendations to varied audiences
- Ability to work remotely within the Fulton Bank footprint as follows: DC, DE, MD, NJ, PA, VA
- Authorization to work in the United States without sponsorship for a work visa by Fulton Bank currently or in the future
