Position Summary:

The Data Analytics Engineer will be an integral part of our dynamic Data & Analytics team. This role focuses on building and enhancing analytical capabilities to integrate AI and ML into various projects and priorities driven by the Data Analytics team. These initiatives broadly support our lines of business across both CardWorks and Merrick Bank. We are looking for individuals who have specific knowledge and experience with AI and ML solutions, can work with data, perform data visualization, build, deploy, and maintain ML models, and have strong proficiency in Python.

Essential functions:

Design, Implement and report actionable intelligence using data from internal and external sources for leadership across the organization.
Identify and interpret trends in datasets to drive insights using a variety powerful cloud-based technologies, including AWS, Snowflake, & Power BI.
Assist in implementing auditable data controls while adhering to critical data governance guidelines.
Collaborate with business, operations and data engineers to understand business problems and translate them into technical specifications for AI and ML solutions.
Design, develop, and test AI and ML models using various programming languages and frameworks, such as Python and TensorFlow.
Integrate ML models into production systems using MLOps practices and cloud platforms.
Monitor and evaluate the performance of ML models, identifying and addressing potential issues.
Document AI and ML solutions, including model descriptions, code, and deployment procedures.
Stay up-to-date with the latest advancements in AI and ML technologies.

Education & experience:

Master’s degree in Data Science, specialized Computer Science or related degree.
Strong understanding of AI and ML concepts, including machine learning algorithms, model evaluation, and model deployment.
4+ years of experience in programming with Python, C# or other relevant languages.
Hands-on software development experiences
UI development experiences with HTML, CSS, JavaScript is a plus.
Relational database concept and experiences in SQL is a plus.
Experience with cloud platforms, such as AWS or Azure, is a plus.
Excellent communication and collaboration skills.
Ability to work independently and as part of a team.

Summary of Qualifications:

Strong problem-solving skills.
Ability to gather requirements and apply strong analytical skills to grasp complex rules to develop system solutions to achieve business objectives.
Ability to work in a team environment and collaborate with others and with professional attitude.
Flexibility and adaptability to work in rapid pace and provide solutions to constantly changing business needs.
Effective and efficient communications skills both verbal and written to interact with business partners perform essential job functions.
Ability to pay attention to details and have a “quality first” mindset which includes doing things right the first time.
Strong time management and organization skills to deliver results on time, based on plan and business needs.
Curiosity to learn how data drives decision making.
Exposure to cloud technologies or keen interest in learning new technologies.
Understanding of Business Intelligence capabilities.
Understanding of Machine Learning and AI and relevant course work.

#INDEG

Job Type: Full-time

Pay: Up to $111,000.00 per year

Benefits:

401(k)
401(k) matching
Dental insurance
Flexible spending account
Health insurance
Health savings account
Paid time off
Vision insurance

Compensation Package:

Yearly bonus

Schedule:

8 hour shift
Monday to Friday
No weekends

Education:

Master's (Preferred)

Experience:

Python: 4 years (Required)
Machine Learning: 3 years (Preferred)
AI models: 3 years (Preferred)
Cloud Platforms: 3 years (Preferred)
Financial Services: 1 year (Preferred)

Work Location: Hybrid remote in Orlando, FL 32819

CardWorks

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Data Analytics Engineer