Data Scientist
Fulton Bank
Full-time
Pennsylvania
Job description
Value Proposition
Overview
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
Experience
Certifications
Knowledge, 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)
Other Duties as Assigned by Manager
Pay Transparency
To provide greater transparency to candidates, we share base salary ranges on all job postings regardless of state. We set standard salary ranges for our roles based on the position, function, and responsibilities, as benchmarked against similarly sized companies in our industry. Specific compensation offered will be determined based on a combination of factors including the candidate’s knowledge, skills, depth of work experience, and relevant licenses/credentials. The salary range may vary based on geographic location.
The salary range for this position is $99,200.00 - $165,300.00 annually.
Additional Compensation Components
This job is eligible to receive equity in the form of restricted stock units. This job is eligible to participate in a short-term incentive compensation plan subject to individual and company performance.