Position Senior Data Scientist
Job Code-8642
req5107
Delta Community Credit Union Administrative Office - Riverwood 200
Full Time
Job Description Delta Community isthe largest and one of the fastest growing credit unions in Georgia. Our rapid growth has created additional career opportunities within the organization.We are looking for energetic, flexible, and service oriented individuals for the following position.
The Sr. Data Scientist is responsible for leading and managing advanced analytics/machine learning and other quantitative modeling efforts beginning to end with customers and stakeholders throughout the model lifecycle from problem definition, discovery, design through analytic model building, testing, presentation, operationalization to knowledge transfer for maintenance. We are looking for individuals who are intellectually curious and strategic thinkers with strong communication skills.
Practices safety-conscious behaviors in all operational processes and procedures.
Essential Functions:
•Collect, synthesize, manipulate and interpret large data sets, and data structures into actionable solutions
•Develop analytical approaches to deliver analytic insights and solutions through in-depth data exploration and feature engineering that drive positive business outcomes
•Partner with cross-functional teams to identify opportunities, develop ideas and execute design plans for advanced analytics; collaborating with business partners such as but not limited to product teams, data stewards, data governance and IT
•Research and test new techniques related to modeling, feature extraction, data processing and product improvements
•Perform feasibility analyses to demonstrate the value of different hypotheses, data sources and models. Present results and recommendations to internal customers and senior management
•Oversee the design and development of data science projects across the organization to ensure adherence to best practices, providing Data Analysts/Junior Data Scientists with practical guidance, and monitoring the performance as needed.
•Regularly supervise and update predictive models to ensure they remain relevant and effective in dynamic business environments.
•Evaluate model performance and refining algorithms to improve accuracy, reliability, and scalability and designing and implementing A/B tests or other experiments to validate model predictions and optimize business processes.
•Develop tools and solutions to measure model performance over time and work within IM&A. IT and the rest of the organization for the operationalization, monitoring and maintenance of the models.
•Create detailed documentation outlining design and technical requirements of each solution. Coordinate with product development teams to incorporate tested and approved solutions into new production ready products
•Uncover analytical insights as well as present via dashboards for senior management such as Tableau or MicroStrategy
Other
•This description reflects management's assignment of essential functions, it does not prescribe or restrict the tasks that may be assigned.
•This job description is subject to change at any time.
Position may offer work from home opportunities, pending specific performance and departmental needs.
Job Qualifications
Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
Required Minimum Qualifications:
•Master's Degree in Computer Science, Statistics, Mathematics, Economics or other quantitative discipline
•6 years' experience with statistical or machine learning experience in marketing, credit risk, or financial, analytics domains.
•6 years' experience with SQL as well as programming with Python
•Advanced competence in machine learning principles and techniques. Practical knowledge of advanced statistical techniques, predictive modeling, time series forecasting, and techniques such as random forest, GBM, neural networks, SVMs, ensemble models and text mining.
•Strong consultative acumen with the ability to understand complex analytical solutions and present them to technical and non-technical audiences
•Ability to work with limited supervision to research, develop and test new statistical techniques and product solutions
•Strong knowledge of credit bureau data and other data assets including alternative data
•Complies with all Credit Union policies and procedures including those related to Bank Secrecy Act regulations.
Preferred Qualifications:
•Ph.D. in Computer Science, Statistics, Math or Analytics
•Experience working with natural language processing
•Advanced knowledge of machine learning & feature engineering techniques
•Working knowledge of Generative AI and experience on large language models
•Expert knowledge of evolving technologies for development, implementation, and deployment
•Prior deep experience building financial/credit risk and other models within the Financial Services Industry

Employee benefits include:
•Medical, Dental and Vision Coverage
•Basic Life and Accidental Death &Dismemberment Insurance, Long Term Disability, Employee Assistance Program and MyAdvocate
•Supplemental Insurance or Voluntary Insurance
•401(k) Plan with Company Match
•Vacation, Holidays and Personal Time Off
•Paid Maternity and Paternity Leave
•Pre-tax Health and Dependent Care Spending Accounts
•Benefit Choice Program
•Health Reward Dollars
•Discount on Gym Reimbursement and Identity Theft Programs
•Legal Services