Top Senior Level Data & Analytics Jobs in Philadelphia, PA

The Quantitative Staff UX Researcher at JumpCloud will conduct quantitative UX research to provide insights for product development. They will work collaboratively with cross-functional teams to enhance user understanding and improve the product by analyzing user behavior.

Collaborate with cross-functional partners, apply quantitative analysis, develop strategies, test opportunities, inform strategy decisions, measure product success, shape product development, and communicate insights.

The Principal Data Scientist will be the primary analytics partner to the Community & Learning team at Atlassian. They will influence strategy and important decisions, build measurement frameworks, lead high-impact projects, promote a measurement culture, and foster a world-class Data Science culture.

Support database migrations, query optimization, index tuning, database tuning, define database architecture, model development, uphold security standards, monitor databases, establish access schemes, and write documentation.

Support for Database Migrations, Query Optimization, Index Tuning, Database Tuning, Defining Database Architecture, Model Development, Working closely with development teams, Upholding Security and Data Classification Standards, Monitoring and Maintenance of databases, Establishing Access Schemes, Writing Documentation

Support database migrations and upgrades, query optimization, index tuning, database tuning, defining database architecture, model development, upholding security standards, monitoring databases, establishing access schemes, and writing documentation.

Drive the development of financial models and analytics to improve Thyme Care's financial performance and outcomes. Collaborate with department leads to identify key performance indicators and drive standardization of measurement definitions. Support financial reconciliations, forecasts, and analyses for value-based contracts. Requires experience in cost of care analysis, financial modeling, BI tools, SQL, and strong quantitative background.

Seeking an experienced Senior Catastrophe Analyst to join the Catastrophe Risk Management department. Responsibilities include portfolio analytics, optimization of processes, validation of Cat models, communication with stakeholders, and providing insights on catastrophe risk.

Develop and implement machine learning models for fraud detection, analyze datasets, collaborate with cross-functional teams, monitor model performance, and stay updated on the latest machine learning and fraud detection techniques.

As a Senior Machine Learning Engineer, you will develop robust, scalable ML systems using Python and TensorFlow. You will work collaboratively with Data Scientists to turn prototype algorithms into customer-facing solutions and provide technical leadership to junior team members. Your role also involves building data pipelines, collaborating with Product Managers, and making intelligent technical decisions to enhance personalization capabilities.