Senior Cplex Optimization Jobs in Illinois (NOW HIRING)

Senior Data Scientist | Chicago, Illinois, United States Senior Data Scientist - Claims & Risk Analytics (Remote, CST Hours) Location: Remote (US, CST hours) Duration: 12-month contract with extension potential Job Type: C2C About the Role: Join a cutting-edge analytics team as a Senior Data Scientist and drive transformative machine learning and NLP solutions for an industry-leading claims and incident mitigation project. Make a real impact by helping risk management teams predict, classify, and proactively address high-risk insurance claims. This is a fully remote opportunity offering exposure to large-scale data challenges, cloud technologies, and cross-functional collaboration-all while advancing your career in applied data science. Responsibilities: - Design and implement ML and NLP solutions for insurance claims and incident mitigation analytics - Translate complex risk management business needs into actionable data science strategies - Profile, clean, and prepare structured and unstructured claims and incident data for modeling - Engineer advanced features and leverage NLP to extract key risk signals from narrative data - Apply record linkage techniques to connect disparate data sources without unique identifiers - Build, validate, and deploy models ranking incidents by claim likelihood and severity - Classify claims by probable financial impact and assist in fraud detection - Collaborate closely with Risk Management, Legal, Data Engineering, BI, Data Governance, and MLOps teams - Monitor model performance, ensure scoring quality, and manage retraining cycles - Document assumptions, feature logic, validation outcomes, and model limitations - Present results and actionable insights to both technical and business stakeholders Required Skills and Experience: - Master's degree in computer science, statistics, industrial engineering, or related field (PhD preferred) - 5+ years in data science, operations research, or related area (2+ with PhD) - Deep expertise in insurance claims analytics, risk analysis, and fraud detection - Proficient in operations research modeling (LP, IP, MIP) and optimization tools (CPLEX, Gurobi) - Advanced skills in machine learning (supervised, unsupervised, deep learning), model evaluation, and feature engineering - Programming expertise in Python, SQL, Spark; strong command of ML frameworks (Scikit-Learn, XGBoost, Tensorflow, PyTorch, MXNet, LLM) - Cloud deployment experience (AWS, Azure, GCP) with large, complex datasets - Hands-on with streaming data architectures, Agile methodologies, DevOps, and CI/CD practices - Strong communication, documentation, and teamwork abilities Preferred Skills: - Background working with data in hospitality, travel, or service industry settings - Advanced understanding of data architecture and MLOps best practices - Proven track record translating analytics into measurable business impact - Demonstrated passion for innovation and continuous learning in data science Benefits: - Flexible remote work with collaborative, expert teams - Exposure to state-of-the-art cloud and AI technologies - Opportunity to work on high-impact, high-visibility projects - Professional growth through cross-functional engagement and challenging problem-solving - Potential contract extension based on performance How to Apply: If you are a data science expert passionate about transforming risk analytics and driving actionable business outcomes, we want to hear from you. Apply now with your updated resume for immediate consideration!