Job Description

Job Description

Job Description

Our Benefits

• Competitive Pay with advancement opportunities
• Performance Incentives
• 11 Paid Holidays
• Paid Time Off (Starting at 16 days per year with Years of Service Increases)
• 200% 401(k) Match up to 5%
• Medical Plans with a $5.00 Employee Only Per Pay Period Plan
• Dental, Vision, Short-Term Disability Insurance
• Hospital and Accident Indemnity Plans
• Employer paid Basic Life and AD&D Insurance
• Employer paid Long-Term Disability Insurance
• Flexible Spending Accounts- Medical and Dependent Care
• Tuition/ Educational Assistance
• Employee Perks and Discounts

Communication Federal Credit Union has proudly served its' members for over 80 years and was ranked the #1 Credit Union in Oklahoma by Forbes for 2020-2021. We are committed to our local communities, providing financial education, and supporting local organizations.

We are passionate about the credit union philosophy of "People Helping People" and empower our team members to deliver on that promise. Working at CFCU means working alongside a diverse group of financial professionals to create exceptional member experiences. Our culture encourages trust, collaboration, and communication enabling each of our employees to have a meaningful impact on our organization and in the communities we serve.

Data Scientist

Communication Federal Credit Union is seeking a Data Scientist to support enterprise-level analytics and data-driven decision-making. This role is responsible for applying statistical modeling, predictive analytics, and machine learning to large datasets in order to strengthen member engagement, improve financial performance, and drive strategic growth.

What You'll Do:

• Collecting, preparing, and validating structured and unstructured data.
• Designing and deploying predictive and prescriptive models.
• Performing statistical analysis and advanced modeling to solve business challenges.
• Developing dashboards and reports in Tableau, Power BI, and Excel.
• Partnering with business and IT teams to ensure data integrity and scalability.
• Translating business needs into actionable analytics solutions.

Education and Qualifications:

• Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or related field required; Master's preferred.
• 3–5 years of professional experience in data science, analytics, or related field.
• Strong proficiency in SQL and Python; experience with R preferred.
• Knowledge of machine learning techniques, predictive modeling, and visualization platforms.
• Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and big data technologies preferred.
• Strong communication, organizational, and problem-solving skills.

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