The company is looking to leverage data-driven initiatives and solutions to solve business problems, inform strategy, and capitalize on opportunities. The Data Scientist will analyze data, answer key business questions, deploy solutions, and communicate findings to stakeholders, potentially developing machine learning models.
Requirements
- 5 or more years machine and/or deep learning, data mining, large datasets, and complex relational data models (structured and unstructured).
- 5 or more years programming with Python.
- 3 or more years experience with TensorFlow, Scikit-learn, Keras, Torch and NLP libraries.
- 2 or more years Cloud computing experience.
- 3 or more years experience with NLP techniques such as tokenization, etc. (Preferred)
- 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)
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.
- 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.
- Apply supervised and unsupervised learning methods to glean meaningful information from various data.
- Utilize publicly available machine learning or deep learning tools such as TensorFlow, Keras, Scikit-learn, etc. in pursuit of business objectives
Other
- Hybrid schedule will include 2 days/week in the office.
- Core working hours Monday-Friday 8am-5pm.
- Collaborate on Data Science projects with business stakeholders.
- 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
- May mentor and support other data-related roles to provide data-driven tools and insights
- 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)
- Effective communications skills and ability to articulate recommendations to varied audiences (Required)
- As a condition of employment, individuals must be authorized to work in the United States without sponsorship for a work visa by Fulton Bank currently or in the future.
