Overview:
This is a full-time career opportunity that can be remote within the Fulton Bank footprint as follows: DC, DE, MD, NJ, PA, VA.
The Data Scientist will work on a variety of data-driven initiatives or projects that will result in the development and deployment of data-driven solutions to business problems, strategy, and opportunities. Incumbents will analyze data, ask and answer data-driven and key business questions, deploy appropriate solutions, and communicate results to stakeholders. The Data Scientist may utilize Deep Learning and Machine Learning models for production or solutions.
Responsibilities:
* 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.
* 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.
Additional Responsibilities
* Project management
* Utilize publicly available machine learning or deep learning tools such as TensorFlow, Keras, Scikit-learn, NLTK, etc. in pursuit of business objectives
* May mentor and support other data-related roles to provide data-driven tools and insights
Qualifications:
Education
Bachelor's Degree or the equivalent experience. Specialty: applied math, statistics, engineering, econometrics, or related field. (Required)
Master's Degree or the equivalent experience. Specialty: applied math, statistics, engineering, econometrics, or related field. (Preferred)
Experience
5 or more years data mining, deep learning algorithms, large datasets and complex relational data models. (Required)
2 or more years programming with Python or SAS. (Required)
2 or more years experience with TensorFlow, Scikit-learn, Keras, Torch, or NLP libraries. (Required)
2 or more years experience with PowerBI, SQL, R, and Python. (Preferred)
CertificationsKnowledge, Skills, and Abilities
* Working knowledge of various supervised and unsupervised learning methods such as logistic regression, Support Vector Machine (SVM), decision tree, clustering, neural nets, etc. (Required)
* Knowledge of machine learning/deep learning techniques, applications, and libraries. (Required)
* 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. (Required)
* Effective communications skills and ability to articulate recommendations to varied audiences (Required)
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