Top Remote Data & Analytics Jobs in Philadelphia, PA

As a Staff Machine Learning Data Scientist, you will lead the development of machine learning tools for patient data, integrating insights from diverse stakeholders, and conducting complex analyses in cloud environments. You'll collaborate with experts to provide innovative solutions and generate novel clinical insights from extensive patient data.

The Compensation & People Insights Analyst at Niche will analyze HR data to drive strategic decisions in employee compensation and performance. Responsibilities include maintaining data integrity, developing dashboards, conducting compensation analysis, and ensuring compliance with regulations. The role requires collaboration with stakeholders to enhance employee experience through actionable insights from metrics.

As a Data Scientist on the Growth team at Wave, you will design, run, and analyze experiments to enhance product features and customer experiences. The role involves working closely with operations and product teams to generate insights from data, applying statistical modeling and machine learning, and communicating findings to stakeholders.

The Staff Engineer will lead the design and development of GenAI-powered product capabilities, driving technical delivery through the feature lifecycle. Responsibilities include identifying opportunities for AI/ML applications, collaborating across teams, owning service uptime, and developing automation and microservices.

The Senior Threat Hunt Analyst will focus on conducting incident response, threat hunting, and intelligence analysis. Responsibilities include performing technical analysis, tracking adversaries, and developing advanced hunting techniques while collaborating effectively with the team remotely.

The Senior Data Scientist II will generate actionable insights to improve recommendations for members, analyze productionized ML models, and design experiments. The role requires a deep understanding of predictive analytics, SQL, and proficiency in Python for data manipulation and model building.

As a Senior Product Data Analyst, you'll manage data, support product development, enhance data quality, and drive insights through collaboration with cross-functional teams. You'll also develop dashboards, analyze trends, ensure data integrity, and assist in product planning based on data insights.