Top Senior Data Science Jobs in Philadelphia, PA

Lead development of complex data queries, build and validate predictive models, perform deep-dive analytics, mentor junior staff, engage stakeholders, and communicate actionable insights to business leaders.

As a Staff Data Scientist at SentiLink, you will develop fraud detection models, conduct analyses, collaborate across teams, and drive the development of financial risk products.

Lead end-to-end data science initiatives: design, deploy, and monitor production ML models for credit risk, pricing, collections, and fraud. Partner cross-functionally to integrate models, set development standards, mentor team members, and maintain reliable, scalable machine learning pipelines and monitoring systems.

The Data Scientist will lead measurement initiatives for ad campaigns at Netflix, focusing on experimentation, modeling, and cross-functional collaboration to drive impactful solutions.

As a Staff Data Scientist, you will lead product strategy by building predictive models, optimizing matching algorithms, and guiding product innovations in a consumer tech environment.

Lead delivery of data analytics for nonclinical safety: prioritize use cases, develop search/analysis/visualization solutions, implement statistical and ML models, and provide cross-functional scientific and data-science leadership.

Client-facing data scientist supporting clinical data transfer, ETL, validation, analysis, and Power BI dashboards. Build R scripts, assist data harmonization, support internal tools and basic web interfaces while working with cross-functional teams on clinical trial data.

Build production-quality data pipelines and analytical workflows using Python, SQL and Spark; clean, transform and analyze structured data; validate and deploy predictive models; support client presentations and explain results to non-technical audiences; contribute to and improve the firm’s analytics platform and tooling.

Lead the implementation and development of advanced analytics products utilizing blockchain data to detect and mitigate cryptocurrency fraud, overseeing the entire analytics product life cycle with a collaborative team.

The Senior Data Scientist will design and govern ontologies for Oncology R&D, translating business needs into semantic models and ensuring data interoperability.

Drive measurement, causal inference, and experimentation to optimize content promotion and personalization. Build robust metrics, partner with product and engineering, surface discovery opportunities, and independently deliver high-impact analytics and ML solutions.

The Senior Data Scientist will lead innovative data science efforts, leveraging advanced analytics, visualization, and insights from complex datasets to boost productivity.

The Senior Manager, Data Science & Analytics will lead a team to drive analytics and experimentation strategies for Yahoo Mail's growth and monetization, engaging with product, finance, and marketing to transform data insights into actionable strategies for success.

Lead the transformation of data into consumer features, applying statistical techniques, monitoring performance, and providing insights through dashboards while collaborating across teams.

The Geospatial Scientist leads data management initiatives, oversees data governance, and ensures quality and compliance of geospatial data for DHS.

Lead custom analytics and ML model development for non-prime lending using traditional and alternative data. Scope and deliver credit strategies (underwriting, pricing, collections), engineer features, evaluate data sources, present insights to clients, and support model implementation, monitoring, and optimization.

As a Senior Data Scientist, you will lead data initiatives by setting goals, architecting data models, enhancing data quality, and mentoring team members to drive impactful business decisions at SmithRx.

As a Senior Data Scientist, you will develop statistical models and machine learning algorithms to improve patient enrollment and trial management while ensuring compliance in a healthcare data environment.

As a Senior Data Scientist, you will drive product analytics and experimentation, develop metrics, and collaborate with cross-functional teams to inform strategic decisions.

As a Senior Machine Learning Engineer, you'll build and deploy ML models for risk and fraud detection, leading technical efforts and collaborating cross-functionally.