Data Scientist

Overview

This is a full-time career opportunity that can be remote.

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 in this role will analyze data, ask and answer data driven and key business questions, deploy appropriate solutions, and communicate results to stakeholders. The Data Scientist may be expected to design and develop machine learning models, based on specific assignments or team focus.

• 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 Tensor Flow, Keras, Scikit-learn, etc. in pursuit of business objectives
• May mentor and support other data-related roles to provide data-driven tools and insights

Education

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)

Experience

5 or more years data mining, machine and/or deep learning algorithms, large datasets and complex relational data models (structured and/or unstructured). (Required)

5 or more years programming with Python. (Preferred)

3 or more years experience with Tensor Flow, Scikit-learn, Keras, Torch and NLP libraries. (Preferred)

3 or more years experience with NLP techniques such as tokenization, etc. (Preferred)

2 or more years Cloud computing experience. (Preferred)

Knowledge, Skills, and Abilities

• 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)

This role may perform other job duties as assigned by the manager. Each employee of the Organization, regardless of position, is accountable for reading, understanding and acting on the contents of all Company-assigned and/or job related Compliance Programs, regulations and policies and procedures, as well as ensure that all Compliance Training assignments are completed by established due dates. This includes but is not limited to, understanding and identifying compliance risks impacting their department(s), ensuring compliance with applicable laws or regulations, and escalating compliance risks to the appropriate level of management.

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 - $ 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.

Additionally, as part of our Total Rewards program, Fulton Bank offers a comprehensive benefits package to those who qualify. This includes medical plans with prescription drug coverage; flexible spending account or health savings…