- with scientific computing language and big data knowledge, including Python, SQL, Hive, Hadoop, Spark etc.
- with common machine learning algorithms (SVM, KNN, logistic regression, random forest, XGBoost, Neural Networks, etc.)
- and maintain Client/Stats models through the full model development lifespan: from data acquisition decisions through featurization, focusing labelling resources, model training, experimentation, productionalization, and monitoring.
- skills in the application of scientific methods to practical problems through exploratory data analysis, hypothesis testing and data visualization to reach robust conclusions.
- of statistical probability distributions, bias, error and power as well as sampling and resampling methods.
- in the manipulation, integration, processing and interrogation of large datasets. Maintain data quality and support data access.
- with source control tools such as GitHub and related CI/CD processes
- to tackle ambiguous and undefined problems and thrive with minimal oversight and process.
- to communicate and discuss complex topics with technical and non-technical audiences.
- data to inform strategic directions of safety signal development, aid in incident response, automate detection and enforcement, and provide intelligence on ecosystems.
- and evolve Threat Detections metrics that measure the impact of our targeted enforcement.
- comfortable with analyzing and telling stories of security, audit and network data, and understand the context of monitor systems and threat detection.
- intelligence gathered to other safety stakeholders and executive decision makers.
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Data Scientist V - San Jose, United States - BayOne Solutions
Description
Title- Data Scientist V
Location-San Jose, CA
Pay Rate- $70-85/hr on W2
Interview- Video
Required Skill Sets:
Better to have or willing to learn: