Senior Data Scientist

• Senior Data Scientist
• 📍 Location: Philadelphia, Pennsylvania, United States
• 🏢 Industry: Information Services
• 💼 Work Setting: Onsite

Are you passionate about leveraging advanced AI and data science techniques to accelerate discovery, unlock insights from complex data, and build next-generation intelligent applications? We are seeking a Senior Data Scientist to design, develop, and scale innovative AI solutions that drive knowledge exploration, research enablement, and advanced analytics. This role offers the opportunity to work with cutting-edge technologies including machine learning, natural language processing, knowledge graphs, retrieval systems, and generative AI to solve complex challenges and create impactful solutions.

• Key Responsibilities
• Design, develop, and deploy advanced AI and machine learning solutions to support knowledge discovery and decision-making.
• Build and optimize Retrieval-Augmented Generation (RAG) systems and Large Language Model (LLM)-powered applications for complex information retrieval and reasoning tasks.
• Develop intelligent solutions that leverage structured and unstructured data to generate actionable insights.
• Design and integrate knowledge graphs to enhance data connectivity, contextual understanding, and information discovery.
• Collaborate with cross-functional teams to define requirements, identify opportunities, and deliver scalable AI-driven solutions.
• Develop, evaluate, and optimize machine learning and deep learning models for production environments.
• Apply Natural Language Processing (NLP) techniques to extract, analyze, classify, and generate insights from large-scale text datasets.
• Establish model evaluation frameworks and performance metrics to ensure accuracy, reliability, and business impact.
• Work with large and complex datasets, ensuring efficient data processing, integration, and governance.
• Stay current with emerging AI technologies and incorporate innovative approaches into product and research initiatives.
• Contribute to AI architecture decisions, best practices, and technical strategy.

• Required Qualifications
• Bachelor's, Master's, or PhD in Data Science, Computer Science, Artificial Intelligence, Statistics, Mathematics, Engineering, or a related quantitative field.
• Significant hands-on experience in Data Science, Machine Learning, and Artificial Intelligence roles.
• Strong expertise in Natural Language Processing (NLP), machine learning, and generative AI applications.
• Proven experience building and deploying production-grade software solutions using Python.
• Experience developing and implementing Retrieval-Augmented Generation (RAG) systems and Large Language Model (LLM) applications.
• Strong understanding of statistical analysis, predictive modeling, and experimental methodologies.
• Experience working with large-scale structured and unstructured datasets.
• Proficiency with modern AI, machine learning, and deep learning frameworks.
• Strong analytical, problem-solving, and software engineering skills.
• Ability to work independently while collaborating effectively with diverse technical and business teams.

• Preferred Qualifications
• Experience designing and implementing knowledge graph solutions and semantic search systems.
• Familiarity with cloud platforms, MLOps practices, and model deployment pipelines.
• Experience optimizing AI systems for scalability, performance, and reliability.
• Knowledge of vector databases, retrieval systems, and information discovery architectures.
• Experience leading technical initiatives and mentoring junior data scientists.
• Exposure to research-oriented environments and advanced analytical applications.

• Key Skills
• Data Science
• Machine Learning
• Generative AI
• Large Language Models (LLMs)
• Retrieval-Augmented Generation (RAG)
• Natural Language Processing (NLP)
• Knowledge Graphs
• Deep Learning
• Python Programming
• Statistical Analysis
• Model Evaluation & Optimization
• Information Retrieval Systems
• Data Engineering & Preparation
• AI Solution Architecture
• Predictive Analytics
• Cross-Functional Collaboration
• Research & Innovation
• Production AI Deployment