Senior Data Scientist (only USC and GC on W2)

Job Title: Senior Data Scientist Location: Phoenix, Arizona - Onsite Employment Type: Contract Position Overview • We are seeking a highly experienced Senior Data Scientist to support and enhance our AIOps (Artificial Intelligence for IT Operations) solution. This position plays a critical role in advancing our anomaly detection, root cause analysis, and intelligent automation capabilities across enterprise systems. • The ideal candidate will bring deep expertise in machine learning, statistical modeling, and large-scale data analysis, with strong hands-on proficiency in Python and SQL. This individual will drive innovation in operational intelligence by leveraging anomaly detection, causal reasoning, time series modeling, and emerging GenAI techniques. Key Responsibilities • Design and implement scalable machine learning models for AIOps use cases including anomaly detection and root cause analysis. • Develop and optimize advanced anomaly detection algorithms for infrastructure, application, and operational telemetry data. • Apply causal reasoning frameworks to identify drivers of incidents and operational disruptions. • Build and deploy time series forecasting and modeling solutions to predict performance degradation and system failures. • Develop robust data pipelines and analytical workflows using Python and SQL. • Integrate Generative AI (GenAI) techniques for intelligent summarization, incident triage, knowledge extraction, and automation. • Collaborate with engineering, DevOps, and platform teams to operationalize ML models in production environments. • Drive continuous improvement of model performance, scalability, and reliability. • Mentor junior data scientists and contribute to best practices in MLOps and model governance. Required Qualifications • 6+ years of experience in data science or applied machine learning roles. • Strong communication and stakeholder management skills. • Strong proficiency in Python (NumPy, Pandas, Scikit-learn, PyTorch/TensorFlow or similar). • Advanced SQL skills for data manipulation and analysis. • Proven experience in anomaly detection techniques (statistical, ML-based, deep learning-based). • Strong understanding and practical application of causal inference and causal reasoning methodologies. • Hands-on experience with large-scale structured and time series datasets. • Solid knowledge of time series modeling (ARIMA, Prophet, LSTM, state-space models, etc.). • Experience deploying models into production environments. • Strong analytical thinking and problem-solving capabilities. Preferred Qualifications • Experience in AIOps, IT Operations analytics, or observability platforms. • Exposure to GenAI / LLM-based solutions for operational intelligence. 📧 Email: preeti.verma@ampstek.com