Top Data Science Jobs in Philadelphia, PA

Lead the data science strategy, mentor a team of data scientists, oversee AI model deployment, and ensure measurable business impact.

Leading the AI/ML team, mentoring data scientists and engineers, developing production-grade systems for cybersecurity, collaborating on architecture, and driving best practices for AI development.

Drive and execute the AI/ML strategy at 6sense, leading teams in data science and ML engineering to develop innovative AI-native products and solutions, while fostering partnerships and thought leadership in the industry.

Join Form Bio to empower scientific discovery through software. Collaborate with multi-functional teams, requiring strong analytical skills and organization in a remote culture.

The Senior Data Scientist will lead analyses and projects to drive strategic insights, mentor junior staff, and utilize AI tools for data-driven decisions.

Lead the design and implementation of advanced ML-based analytics for cybersecurity operations. Oversee data pipeline development and integrate analytics into SIEM platforms while ensuring scalability, performance, and security.

As a Senior Data Visualization Engineer, you will create data visualizations, collaborate with teams to build reporting solutions, and translate business goals into actionable insights.

Lead the Data Science & POCs team to optimize fraud analytics and decision systems, managing projects, mentoring staff, and collaborating with teams to reduce fraud losses.

As an intern, you'll leverage data sets to research and build features for model training, collaborate with teams, and identify opportunities for growth.

Lead product management for new architectures in Comcast's access and core networks, ensuring execution across product lifecycle with a data-driven approach.

Lead projects in machine learning, develop statistical algorithms, collaborate across teams, mentor juniors, and conduct research on healthcare datasets.

As a Data Scientist, you will leverage data to improve client experiences, design metrics, build data pipelines, and collaborate with teams on data-informed decision-making.

Lead a data science team to enhance Netflix's streaming product through analytics and experimentation, partnering with engineering.

Lead a data science team to drive consumer acquisition strategies and improve Netflix's signup processes through analytics, experimentation, and machine learning.

Manage a team of data scientists and analysts designing ML solutions for risk assessment, enhancing operational readiness, and ensuring reliability of data sources.

The Director of Data Science leads the team to build marketing measurement tools and data products while partnering closely with Engineering and Product teams. Responsibilities include managing technical execution, hiring talent, and establishing validation processes for data models.

The Technology Development Program involves rotational experiences in Data Science and Data Analytics Engineering. Responsibilities include data analysis, model development, and collaboration on business initiatives. Candidates will enhance their skills in machine learning and data strategy, leading to a full-time role at program completion.

The Sr. Director, Data Science leads product development, oversees execution of data science initiatives, manages a team, and collaborates with stakeholders to enhance kidney care through data-driven solutions.

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.

Design and deploy data processing pipelines, analyze data to extract insights, and develop software systems for data management and privacy.

As a Data Science Intern, you'll learn to translate business challenges into statistical problems, analyze large datasets, build machine learning models, and communicate insights effectively.

The Senior Director of Data Science leads innovative data projects, oversees a team, and ensures best practices in ML/AI to drive business insights across GE HealthCare.

The Director of Data Science, Operations will lead a data science team, innovate machine learning models, and improve financial operations for the company.

Lead the Data Science and Analytics team to optimize vehicle supply, enhance rider experience, and improve operational efficiency through machine learning and data analysis. Oversee A/B testing and promote a data-driven culture while mentoring team members.

Oversee model development and management focusing on fraud and risk. Collaborate cross-functionally to enhance client product performance through data analysis and model governance.