5 Anomaly Detection Jobs

for non-technical audiences Extensive experience and expertise with SQL and Python required, along with relevant quantitative and data science libraries (prior experience with anomaly detection, regression, statistical tests, time series forecasting, predictive and propensity models preferred) Advanced knowledge of data visualization tools and dashboard design experience more »

data while ensuring consistency across areas Data delivery : Ensure all data required for the advanced analytics is available, clean, consistent, easily accessible and documented Anomaly detection & management: Identification of analysis areas of interest and investigation into these Support to business: Support the business with needed insights coming more »

and Client Engagement Qualifications: MS degree in Applied Mathematics, Statistics, Engineering or similar quantitative disciplines Mastery of deep learning non/parametric models, clustering, anomaly detection, and interpretability 5+ years of experience in catastrophe risk Modeling, Applied Statistics, Probability theory, Monte Carlo methods for uncertainty quantification and more »

IFS Cloud, revolutionizing Enterprise Resource Planning, Asset Management, and Field Service Management. Get ready to tackle high-stakes challenges like IIoT, predictive maintenance, forecasting, anomaly detection, optimization, and unleashing generative AI. Your machine learning and software engineer wizardry will power our solutions, crafting efficient and scalable services …/microservices applications using Apache Kafka, Flink, etc. Exposure to model deployment and serving tools like Seldon Core, KServe, etc. Experience with drift detection and adaptation techniques as well as evaluating metrics to drive optimizations using tools like Elastic stack, Prometheus, Alibi detect, etc. A solid background in more »

Experience creating analytical and financial models for data-driven decisions Practical knowledge of native cloud provider cost management capabilities and pricing models Experience with anomaly detection, capacity planning and rightsizing, tagging and storage lifecycle policies, and automation Analytical skills to collect, coordinate and present sophisticated data to more »