Agentic AI Data Scientist with PySpark and NLP Experience

About Company, Droisys is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction. Amazing things happen when we work in environments where everyone feels a true sense of belonging and when candidates have the requisite skills and opportunities to succeed. At Droisys, we invest in our talent and support career growth, and we are always on the lookout for amazing talent who can contribute to our growth by delivering top results for our clients. Join us to challenge yourself and accomplish work that matters. Here's the job details, Agentic AI Data Scientist with PySpark and NLP experience Plano, TX –Onsite from Day 1 Rate Range $40 to $45 hr W2 All Inc Interview Process The interview process consists of three technical rounds: 1. AgreeYa Solutions – Technical discussion + coding (Video) 1. Amdocs – Technical discussion + coding (Video) 1. AT&T – Final technical round (In-person, Plano, TX) 1. Travel/commute at candidate’s own expense Role Overview We are seeking a highly skilled Data Scientist specializing in Agentic AI and Language Graphs to design and build autonomous AI agents capable of complex reasoning and decision-making. The role focuses on leveraging graph-based NLP, knowledge graphs, and advanced AI models to create scalable, intelligent systems for enterprise applications. Must-Have Skills & Qualifications Candidates must meet the following requirements: • Proven experience in Agentic AI systems or autonomous AI agents • Strong expertise in Language Graphs, Knowledge Graphs, or Semantic Graph Modeling • Hands-on experience with Graph Neural Networks (GNNs) and advanced graph algorithms • Proficiency with graph databases and frameworks: • Neo4j, DGL, PyTorch Geometric • Strong background in Natural Language Processing (NLP): • Transformers, large language models (LLMs), embeddings • Hands-on experience with PySpark • Advanced Python programming skills with AI/ML libraries • Experience with data analysis, feature engineering, and large-scale datasets • Strong analytical, problem-solving, and communication skills • Ability to work in a fast-paced, collaborative, onsite environment Key Responsibilities • Design, develop, and optimize Agentic AI models enabling autonomous, goal-driven behavior • Build and maintain language graph structures representing semantic knowledge, relationships, and context • Apply GNNs, knowledge graph embeddings, and NLP techniques to improve agent reasoning and comprehension • Perform exploratory data analysis (EDA) and feature engineering on large, heterogeneous datasets • Experiment with reinforcement learning, planning algorithms, and multi-agent coordination • Collaborate with AI researchers, engineers, and product teams to integrate AI solutions into production systems • Develop evaluation metrics and frameworks to measure performance, robustness, and accuracy of AI agents • Document architectures, methodologies, and research findings for reproducibility and knowledge sharing • Stay current with latest research and best practices in Agentic AI, graph-based NLP, and AI systems Droisys is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Droisys believes in diversity, inclusion, and belonging, and we are committed to fostering a diverse work environment.