Top Remote Data & Analytics Jobs in Atlanta, GA

Develop robust, scalable production ML systems using Python, Tensorflow, Airflow, Kafka, PostgreSQL, Redis, and AWS. Collaborate with Data Scientists and Product Managers to deliver personalized experiences to learners at scale. Strong focus on building algorithms and frameworks for personalization capabilities.

Lead a team of engineers in creating and deploying machine learning models and algorithms. Manage the machine learning lifecycle, research and implement new techniques, mentor team members, and communicate with stakeholders. Requires a Master's or PhD in a quantitative subject, 5+ years of software engineering team management experience, and experience with scaling machine learning models in business applications.

Responsible for managing existing databases, identifying areas for improvement, and developing solutions to enhance systems. Collaborates with software development teams to ensure high availability of mission-critical SQL server systems. Requires 4 years of SQL Server Database Administrator experience and knowledge of SQL, data modeling, and database performance tuning.

The job involves translating business requirements into technical use cases and data flows, assisting in the architecture and planning of projects, and serving as a technical subject matter expert for data-driven marketing tactics. Requires experience in ad technology or marketing with strong analytical and communication skills.

Seeking an Engineering Leader with expertise in Machine Learning to lead teams, architect solutions, and drive innovation in Security AI. Responsibilities include team leadership, architecture design, model development, model training and evaluation, and solution development.

Partner with the Cash App Health org to derive insights from datasets, analyze customer behavior, design A/B experiments, forecast metrics, and build data visualizations. Collaborate with cross-functional teams to drive meaningful change and protect customers' interests.

Join Cash App's Machine Learning team to build models for fraud detection, customer support automation, and underwriting. Work on state-of-the-art algorithms, use NLP, OCR, biometric data, and advance credit solutions. Be part of a dynamic team focused on innovation and impact.

This role is for a Machine Learning Engineer specializing in modeling for Cash App. Responsibilities include building machine learning models for fraud detection, customer support automation, and underwriting and credit evaluation. The company is focused on redefining the world's relationship with money through innovative financial products and experiences.

As a Software Implementation Consultant for Financial Institutions, you will collaborate with clients to implement performance management solutions, analyze financial processes, and customize software solutions. Strong experience in finance, database structures, Excel, and financial applications is required.