Senior Data Scientist - San Jose, United States - Stellar Consulting Solutions, LLC

Description

Required Skills & Experience:

• Experience with scientific computing language and big data knowledge, including Python, SQL, Hive, Hadoop, Spark, etc.
• Experience with common machine learning algorithms (SVM, KNN, logistic regression, random forest, XGBoost, Neural Networks, etc.)
• Develop and maintain ML/Stats models through the full model development lifespan: from data acquisition decisions through featurization, focusing labeling resources, model training, experimentation, production, and monitoring.
• Developed skills in the application of scientific methods to practical problems through exploratory data analysis, hypothesis testing, and data visualization to reach robust conclusions.
• Understanding of statistical probability distributions, bias, error, and power as well as sampling and resampling methods.
• Expertise in the manipulation, integration, processing, and interrogation of large datasets. Maintain data quality and support data access.
• Experience with source control tools such as GitHub and related CI/CD processes
• Ability to tackle ambiguous and undefined problems and thrive with minimal oversight and process.
• Ability to communicate and discuss complex topics with technical and non-technical audiences.

Good To Have Skills:

• Leverage data to inform strategic directions of safety signal development, aid in incident response, automate detection and enforcement, and provide intelligence on ecosystems.
• Operationalize and evolve Threat Detection metrics that measure the impact of our targeted enforcement.
• Feel comfortable with analyzing and telling stories of security, audit, and network data, and understand the context of monitor systems and threat detection.
• Disseminate intelligence gathered to other safety stakeholders and executive decision-makers.