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