Top Senior Level Data Science Jobs in Philadelphia, PA

The Senior Data Scientist at Constellation will develop innovative data science solutions, explore complex datasets, build advanced ML models, and mentor junior team members. Responsibilities include translating business requirements into actionable data science strategies, collaborating with cross-functional teams, and managing data visualization, ETL processes, and code repositories.

The Data Science Manager will lead application development for Availity's products, focusing on statistical and machine learning solutions. Responsibilities include managing the data science development lifecycle, translating business requirements, analyzing technology trends, and coaching the analytics team.

Join Butter's ML team to optimize the recovery of failed payments by identifying an optimal sequence of retry attempts using novel techniques. Conduct model iterations and AB tests to enhance product performance. Requires 5+ years of data experience, strong statistics background, and knowledge of ML.

As a Sr. Data Scientist at Houzz, you will collaborate across teams to define and launch data science initiatives, manage key business metrics, design experiments, and own project execution to provide actionable insights that drive product development and business direction.

The Field Application Scientist will support sales by providing technical expertise, conducting product demonstrations, and delivering training on LI-COR Biotechnology products. They will manage multiple projects, assist customers with technical queries, and maintain relationships to ensure customer satisfaction.

The Manager of Marketing Data Science will spearhead initiatives in data utilization, predictive modeling, and machine learning to enhance marketing strategies and optimize performance for Dow Jones' Enterprise clients. This role involves collaborating with technology and marketing teams to establish robust data infrastructures and ensure data governance, ultimately driving actionable insights and improving customer retention.

The Principal Applied Scientist will lead the research and development of recommendation algorithms, focusing on model optimization and system scalability. They will mentor ML engineers, influence AI strategy, and collaborate with teams to enhance product innovation and customer experiences at Wizard.