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

The Senior Data Scientist at Thyme Care will develop financial models linking clinical activities to financial performance, work cross-functionally to address measurement gaps, track operational outcomes, support financial reconciliations, and facilitate analyses for executive leadership.

The Senior Product Analyst will analyze user behavior and platform metrics to drive strategic decisions. Responsibilities include managing dashboards, conducting A/B experiments, supporting product analysis, and collaborating cross-functionally. The role requires strong technical skills in analytics tools and various programming languages, along with the ability to mentor junior analysts.

The Senior Analyst will support the Global Deal Strategy & Operations team by managing analytics, metrics, and KPIs for non-standard deals. Responsibilities include data visualization, reporting for senior management, risk assessment of KPIs, and benchmarking metrics against industry standards. The role aims to enhance decision-making processes and promote efficiency within the sales operations.

As a Senior Research Data Scientist, you will lead the Traceability team, developing models and algorithms to detect cryptocurrency fraud and financial crime. You will collaborate with engineers and research scientists, analyze complex data structures, and research methods to extract insights from blockchain data.

The Process Data Analytics Sr. Manager will lead data collection, aggregation, and analysis related to raw materials, intermediates, and process data. Key responsibilities include developing systems for data integrity, performing statistical analysis, executing continuous monitoring of processes, and issuing monthly reports. This role requires expertise in data analytics tools and a strong understanding of biopharmaceutical processes.

As a Senior Machine Learning Engineer, you will enhance entity resolution algorithms, predict behaviors of small businesses, and develop ML infrastructure. Your work will focus on building reusable frameworks, engineering scalable systems, and collaborating with data scientists and engineers to ensure optimal system performance.

As a Senior Data Engineer at Iterable, you will optimize Spark pipelines and manage machine learning systems focused on data acquisition, cleaning, and evaluation. You'll work with both batch and real-time feature stores to enhance model performance and collaborate cross-functionally to develop data-driven products.