
Data Scientist
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. 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. 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.
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 in big data technologies. (Spark, Flink, MapReduce, HDFS, Hive, Presto, Avro, Parquet, Airflow, etc)
Experience in the Security domain is a plus
Hive
Spark
MapReduce
Jupyter
NumPy
Pandas
Keras
Lambda
Time management competent
Data pipelines and testing frameworks
Team player
Verbal communication
written communication
Self-Driven
Adaptability
Problem-solving and resourcefulness
Detail Oriented and Organized
Multi-tasking
According to JobzMall, the average salary range for a Data Scientist in 3401 Hillview Ave, Palo Alto, CA 94304, USA is $130,932 - $150,483 per year. This range is based on the salaries reported by employers and can vary depending on the experience, qualifications, and specific skills required for the job.
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VMware, Inc. provides the development and application of virtualization technologies with x86 server-based computing, separating application software from the underlying hardware. Its virtualization infrastructure solutions, which include a suite of products designed to deliver a software-defined data center, run on industry-standard desktop computers and servers and support a wide range of operating system and application environments, as well as networking and storage infrastructures.

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