Senior Data Scientist

4 weeks ago


San Jose, United States Stellar Consulting Solutions, LLC Full time

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.

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