[Remote] Data Scientist

Note: The job is a remote job and is open to candidates in USA. Fulton Bank is seeking a Data Scientist I to support data-driven business solutions. The role involves collecting and cleaning data, conducting exploratory analysis, developing and evaluating machine learning models, communicating actionable insights, and collaborating with cross-functional teams to deploy analytics solutions.

Responsibilities

• Identify and collect data from various sources, such as databases (on-premise and cloud), surveys, and other mediums
• Clean and preprocess large, raw, and structured or unstructured datasets to ensure data quality, accuracy, and usability
• Conduct exploratory “upfront” data analysis (EDA) to find patterns, trends, and anomalies, and make appropriate changes for final analysis or model development
• Work in close collaboration with higher-level data scientists to develop and implement algorithms and machine learning models to solve business problems and make predictions
• Test and refine models for accuracy and improved performance
• Evaluate the performance of models using relevant metrics and monitor for degradation
• Translate complex findings into clear, actionable insights for stakeholders
• Create reports, dashboards, and visualizations to communicate results effectively
• Collaborate with developers and engineers to deploy models into production
• Work with cross-functional teams to integrate data-driven solutions into business strategies
• Continuously seek out industry best practice and skills development to create new capabilities for data analytics and data science
• Ad-hoc projects & analysis assigned by management or senior leadership
• Project management
• Utilize publicly available machine learning or deep learning tools such as TensorFlow, PyTorch, Keras, Scikit-learn, etc. in pursuit of business objectives
• Keep pace with developments in the data science field

Skills

• Bachelor's Degree or the equivalent experience. Specialty: applied math, statistics, computer science, engineering, econometrics, or related field
• Master's Degree or the equivalent experience. Specialty: applied math, statistics, computer science, engineering, econometrics, or related field
• 2 or more years data mining, machine learning algorithms, large datasets and complex relational data models
• Working knowledge of various supervised and unsupervised learning methods such as logistic regression, bagging & boosting, clustering, etc
• Working knowledge of machine learning learning techniques, applications, and libraries
• Effective communications skills and ability to articulate recommendations to varied audiences
• 3 or more years proficient programming with Python
• 2 or more years Scikit-learn, Keras, Pandas, Numpy
• 1 or more years cloud computing
• 1 or more years financial services
• Hands-on experience with AWS, GCP, or Azure. Able to utilize API endpoints

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
• A robust wellness program with financial incentives
• This is a full-time career opportunity that can be remote.

Company Overview

Company H1B Sponsorship