Top Remote Senior Level Data & Analytics Jobs in Atlanta, GA

The Technology Partner role at Tiger Analytics involves providing thought leadership, managing client relationships, and leading technology transformation initiatives. Responsibilities include developing technology solutions, overseeing data governance practices, guiding consulting efforts, and mentoring engineering talent across various data platforms and architectures.

The Technical Data Steward will oversee data governance, ensuring data quality and integrity within the organization. This role involves working with data owners and IT teams to implement data policies and standards, conduct data quality initiatives, and manage the lifecycle of data assets. The Steward will also develop data dictionaries and ensure compliance with internal and external regulations.

The Sr. Azure Data Engineer will develop efficient data pipelines, work with Azure technologies, and harmonize data for analytics. Responsibilities include coding in Scala, integrating APIs, building data ingestion pipelines, and ensuring data systems align with business goals.

As a Data Scientist III at Availity, you will leverage statistical techniques and machine learning to solve business problems using large data sets. Collaborating with product management and stakeholders, you'll design analytical solutions, write production-quality code, ensure quality through testing, and mentor junior associates. Your role includes developing data science prototypes, automating solutions, and utilizing cloud-native architecture.

The Sr. SaaS Configuration Specialist will lead the design and implementation of technical systems for energy efficiency, conduct analysis of business drivers, mentor junior analysts, and manage the implementation of software solutions. This role requires strong communication and project management skills, along with expertise in energy data solutions.

As a Lead Data Engineer, you will focus on delivering Demyst's data platform, leading a team of engineers, and overseeing data pipeline development. Responsibilities include coding, mentoring, managing deployment projects, and advising clients on data practices.

The Data Management Squad Lead will spearhead the company's data management strategy, lead a team of data engineers and analysts, define frameworks for delivery, and communicate effectively with stakeholders. Responsibilities include strategic leadership, team development, technical delivery, and storytelling about data practices and solutions.

As the Lead Data Scientist, you will establish a data science practice, leveraging data for strategic business decisions, influencing product design and marketing, and driving optimal business outcomes through advanced analytics and machine learning. You will work cross-functionally with various teams to implement data-driven solutions and communicate insights effectively.

The Staff LLM Data Scientist will design and fine-tune large language models for tasks like Q&A and summarization, build advanced retrieval augmented generation pipelines, implement model evaluation frameworks, and deploy models, collaborating with product and engineering teams to create impactful generative AI solutions within the investment space.