Top Senior Machine Learning Jobs in Philadelphia, PA

As a Risk Manager, you'll analyze and mitigate security risks, implement fraud defenses, and collaborate with cross-functional teams to enhance security objectives.

The Senior Data Analyst leads complex analytical projects, manages data quality standards, performs advanced analyses, and mentors analysts while developing visualization techniques for actionable insights.

The Senior Data Analyst leads complex analytical projects, collaborates with internal partners to translate business needs into analytical solutions, and develops data quality standards. They mentor analysts, create visualizations, and present insights to senior stakeholders.

The Director of In Silico Discovery will lead AI and ML initiatives in biologics discovery, optimize computational design, mentor junior scientists, and engage in collaborations to advance drug development processes.

Develop and productionize a next-gen Dispatch System, build predictive models, automate processes, and lead a small team in optimizing operations.

Lead analytical projects to optimize loan portfolio and pricing strategies, develop machine learning models, and collaborate across teams to drive growth.

The P&C Actuary will assess financial risks in insurance, assist in regulatory consulting, and ensure compliance while enhancing client relationships and business development.

The Data Analyst will prepare and analyze data for predictive modeling, support multiple projects, and collaborate with various teams to enhance data processes and insights.

Lead the Ads Measurement & Impact Science team at Netflix, focusing on building first-party measurement solutions and driving analytics initiatives to enhance ad performance and insights.

As Director of Data Science, you will lead predictive solutions and analytics for marketing, sales, and product development, mentor teams, and establish data-driven strategies aligned with business objectives.

The Senior Risk Management Analyst will assess and mitigate risk in a merchant portfolio using financial analysis and AI technologies, enhancing underwriting decisions.

Lead the evaluation and optimization of large-scale datasets for AI training, ensuring data quality and collaborating with research teams.

The Credit Analyst will develop credit risk strategies, manage decision strategies, analyze credit trends, and collaborate with multiple teams to ensure compliance and profitability in credit processes.

The Manager of RevOps/Yield analyzes patterns and data to optimize ad operations, manage vendor relationships, and oversee a remote team for revenue generation.

The Senior Business Analyst will implement cloud-based data analytics solutions for healthcare clients, translating business requirements into technical specifications, guiding data integration, and providing post-launch support.

Lead the fraud strategy to protect customers and card portfolios, develop real-time models with Data Science, and manage fraud performance metrics. Collaborate across teams to implement effective fraud controls and optimize processes.

The Data Analyst will handle data interrogation and preparation for predictive modeling, collaborate on projects, and create data assets for the P&C insurance market.

The Global Strategic Feasibility Analytics Lead develops feasibility data analytics initiatives, transforms data into insights, collaborates with stakeholders, and drives data-driven decision-making for study planning.

The Staff Analytics Engineer builds data workflows, ensures data integrity, resolves customer issues, and develops insights products, leveraging SQL and Python skills.

Lead the Anaplan platform and data strategy, develop financial models, implement advanced analytics, and mentor team members for a FinTech team.

Lead a data science and analytics team for Netflix's game product and platform. Responsible for measurement, experimentation strategies, and coaching the team to deliver insights vital for games strategy.

Lead data acquisition and management strategies for AI models, analyze data systems, oversee partnerships, and guide a team in optimized data usage.

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.

The Director of Data & Analytics will define and execute the data strategy, lead a team, and collaborate across departments to ensure data is a strategic advantage for the company.

Analyze content performance, influence product roadmap, manage content strategies, classify data, and collaborate with engineering on AI and ML initiatives.