Data Scientist

Fulton Financial Corporation

282d • $96,800 - $161,300 • Remote

About The Position

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.

Requirements

• Bachelor's Degree or the equivalent experience in applied math, statistics, engineering, econometrics, or related field.
• 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.
• Knowledge of machine learning/deep learning techniques, applications, and libraries.
• Knowledge of cloud platforms such as Azure/GCP/AWS and utilizing API endpoints, and some familiarity with M/L ops and application development/deployment.
• Effective communications skills and ability to articulate recommendations to varied audiences.

Nice To Haves

• Master's Degree or the equivalent experience in applied math, statistics, engineering, econometrics, or related field.
• 2 or more years experience with PowerBI, SQL, R, and Python.

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.
• 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.

Benefits

• Medical plans with prescription drug coverage.
• Flexible spending account or health savings account depending on the medical plan chosen.
• Dental and vision insurance.
• Life insurance.
• 401(k) program with employer match.
• Employee Stock Purchase Plan.
• Paid time off programs including holiday pay and paid volunteer time.
• Disability insurance coverage.
• Maternity and parental leave.
• Adoption assistance.
• Educational assistance.
• Robust wellness program with financial incentives.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Securities, Commodity Contracts, and Other Financial Investments and Related Activities
• Education Level: Bachelor's degree