Top Data & Analytics Jobs in Atlanta, GA

Operations Analyst role at Imagen Technologies, a healthcare startup focused on enabling patients to receive immediate diagnostic tests and results at their primary care appointments. Responsibilities include managing high-priority projects, monitoring KPIs, and ensuring timely delivery of patient care. Ideal candidate has a Bachelor's degree and experience in operations, consulting, or research.

The VP of Corporate Data Services at Applied Systems will lead a team of data scientists and engineers, develop data strategies aligned with business objectives, oversee data transformations to a modern datalake, and drive data-driven decision-making across the organization.

Seeking a Sr. Data Analyst with 3+ years of experience in data analysis and business intelligence to support Lifecycle Marketing and Journey Orchestration. Responsibilities include data analysis, campaign optimization, cross-functional collaboration, and market research. Bachelor's degree required, Master's degree is a plus.

Risk Analyst role at Check, responsible for analyzing company data, monitoring payrolls, and minimizing credit and fraud risk. Seeking candidates with 3-5 years of experience in risk and fraud investigation, fluent in SQL, excellent communication skills, and attention to detail.

Senior Specialist, Data Science role at a global healthcare company involving designing and creating machine learning models, retraining systems, model governance, and performance evaluation. Requires 2+ years of data science/engineering experience with skills in Python, R, NLP, and computer vision.

Seeking a highly motivated Senior Staff Machine Learning Engineer to join Taskrabbit's team and contribute to shaping the future of ML/AI. Responsibilities include designing, developing, and deploying advanced ML models, collaborating cross-functionally on ML projects, and working on modern search platforms using NLP and graph analysis.

A Senior Data Scientist role at PwC focusing on using technology to collect data, develop models, and provide predictions to stakeholders. Responsibilities include defining tasks, experimenting with algorithms, validating models, automating training, and communicating insights to stakeholders.