Top Python Jobs in Philadelphia, PA

The Data Architect - Director will lead the design and implementation of data architecture strategies, driving innovation and collaborating with stakeholders to meet business needs while ensuring compliance with data governance.

The Senior Machine Learning Engineer will develop AI agents for healthcare workflows, collaborating with various teams to enhance patient engagement and automate processes using cutting-edge technology.

Lead data engineering solutions for healthcare clients, architecting data pipelines and cloud architectures while collaborating with cross-functional teams to meet business needs.

The Senior Manager will lead commercial performance analytics, develop insights, and collaborate with teams to standardize analytics capabilities and reporting processes.

The Senior Manager of Performance Analytics & Insights will drive commercial performance reporting, collaborate across teams, and provide actionable analytics insights to executive leadership.

Manage projects focused on technology solutions for healthcare, enhancing delivery systems and ensuring regulatory compliance while leading teams and mentoring individuals.

Lead the development of ML-based products, implement AI solutions, manage teams, and engage with clients to deliver transformative solutions through advanced algorithms and data analysis.

As an AI & Gen AI Data Scientist, you will use advanced analytics to help clients improve operations, utilizing AI and GenAI models, collaborating on data solutions, and documenting business processes.

Lead a team of developers to create solutions in a collaborative environment, focusing on full stack systems and cloud-based technologies.

As a Product Owner, collaborate on data management, prioritize vendor issues, draft process maps, manage stakeholders, and conduct requirement gathering and testing.

As a Director, you'll lead the development of data solutions using Palantir Foundry, mentoring teams and driving business growth through advanced data engineering.

Design and execute analytical solutions for supply chain challenges, utilizing data-driven techniques and advanced statistical models. Communicate results effectively and guide junior team members.

Lead complex technical programs across teams, communicate with stakeholders, drive engineering efforts, and mentor junior TPMs while promoting MongoDB's core values.

Lead multiple multidisciplinary teams to architect and deliver full-stack AI solutions, ensuring quality control and promoting innovation through emerging technologies.

Lead AI and GenAI projects, manage teams, develop solutions, mentor staff, and ensure quality in data analytics for clients.

Lead technology projects and developers to create cloud-based solutions, collaborate with product managers, and mentor engineering community members.

Client Value Executives analyze and optimize marketing effectiveness using statistical methodologies and various data sources to support client engagements.

Manage program governance and oversee multiple consulting engagements. Develop project plans, ensure timely delivery, and maintain client relationships. Foster business development through understanding client needs and supporting proposal development.

Lead large data projects, design analytics roadmaps, implement quality controls, and foster relationships with clients and teams to drive success.

As a Lead Software Engineer, you'll design, develop, and deploy high-performing applications, driving data strategy and enhancing operational stability.

Lead and mentor teams to develop and deploy data solutions using Palantir Foundry, ensuring project success and client satisfaction.

Manage client needs in building and documenting AI/GenAI solutions, mentoring team members, and enhancing business process efficiency.

As a Product Owner, you will manage third-party/internal data platforms, collaborate with vendors, analyze data issues, and oversee project management tasks.

As a Senior Associate in Data Science, you will develop AI/ML systems, lead projects, and mentor others while engaging with clients.

Lead and mentor teams in developing AI and GenAI solutions by leveraging advanced analytics, data manipulation, and statistical modeling to solve client business problems.