The Security Analytics Engineering group is looking to hire a Data Scientist to help lead the development of cutting-edge machine learning models to better protect our users from malicious actors and improve our customer product experience. We are looking for a hands-on engineering leader with deep data science and software engineering expertise who can help architect and own the platform for deploying and tuning the machine learning models used to protect user authentication and security.
The teams focuses on using analytics, machine learning, and threat research on petabyte-scale data to deliver security value to millions of business users across thousands of businesses. The product portfolio is a part of the rapidly growing Carbon Black Cloud platform that delivers next-generation endpoint protection capabilities from the cloud. Now with the full resources of VMware, you have the opportunity to make an impact and build upon Carbon Black’s success.
Lead the efforts to define the vision of how Data Science and Machine Learning will be used at Carbon black threat analytics and Alerts management .
Use analytical and statistical methods, programming, data modeling, simulation, and advanced mathematics to analyze large amounts of data, recognizing patterns, identifying opportunities, posing security questions, and making valuable discoveries
Develop algorithms to detect anomalies, assess risks/threat, classify and prioritize alerts, and group related entities for investigation enhancements
Document projects including business objectives, data gathering and processes, leading approaches, final algorithm, and detailed set of results and analytical metrics
Work with Data Engineers to design and maintain data processing pipelines to support new decision and scoring models.
What you bring:
Degree MS/PhD in Machine Learning, Computer Science, Electrical Engineering, Statistics, Applied Math, or other quantitative fields
3-5 plus years experience developing data models as a Data Scientist and experience building products backed up ML /AI.
Working experience in analytics, data mining, and/or predictive modeling, and data interpretation.
Proven track record in modifying and applying advanced algorithms to address security problems in core engineering work.
Experience implementing machine learning models, data pipelines and testing frameworks for production use
Hands on skills on industry-standard machine-learning stack (Jupyter, pandas, numpy, sklearn, Keras, Spark).
Working knowledge of AWS Sagemaker, Lambda, and API Gateway including production deployment
Experience in big data technologies. (Spark, Flink, MapReduce, HDFS, Hive, Presto, Avro, Parquet, Airflow, etc)
Experience in the Security domain is a plus
This job may require the candidate to travel and/or work from a facility that requires full vaccination prior to entry.
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