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PSAT - Staff Data Scientist

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Proofpoint IncSan Francisco, CA
  • It's fun to work in a company where people truly BELIEVE in what they're doing!
  • We're committed to bringing passion and customer focus to the business.
  • Proofpoint is looking for a Staff Data Scientist who will work with a cross functional team to lead our efforts to use statistical analysis and machine learning to help organizations drive better security habits for their end users and lower organizational risk.
  • CISO's and security teams increasingly need to deliver personalized training programs to address the speed at which threat actors change their tactics and that account for an employee's role and capabilities.
  • Delivering this level of personalization requires a new generation of software to deliver the insights and recommendations needed to deliver a personalized program that accomplishes the CISO's risk reduction goals.
  • This role's primary focus will be applying skills in various areas such as NLP, graph mining, computer vision, and predictive analytics to help us build products for a variety of educational and cyber security needs.
  • Apply feature engineering, building and optimizing classifiers, applying machine learning and deep learning expertise
  • Blend data from disparate sources, mining the resulting data lake to build models
  • Develop prototypes and manage feedback loops that improve the utility of the implementation
  • Conduct ad-hoc analysis and innovation around data visualization
  • Participate in design and implementation of a scalable and cost-effective analytics cloud solution to handle billions of data points day.
  • Collaborate with cross functional teams to improve and optimize data models, algorithms and cost.
  • Work with data engineers to automate deployment of machine learning data models.
  • What you bring to the team
  • Excellent understanding of machine learning algorithms and their application (CNNs, RNNs, Deep Reinforcement Learning, SVM, Random Forest and polynomial regression), processes, tools and platforms including supervised, unsupervised, and semi-supervised learning.
  • Developed using data processing languages and frameworks (Python, Numpy, Scipy, Pandas, Cython, Numba, Sklearn, TensorFlow, Keras, PyTorch, Spark, Hive, Parquet/ORC/Avro, Hadoop or similar).
  • Knowledge of cloud native technologies such as S3, EKS, Sagemaker, EMR, Lambda, Kinesis, Redshift, Dynamo, Cassandra, RDS, CloudWatch, Snowflake, ElasticSearch.
  • Expert level knowledge in statistical analysis, linear algebra, optimization algorithms.
  • MS or PhD in Mathematics, Computer Science, Machine Learning, Applied Physics or equivalent.
  • 5+ years industry experience.
  • Experience working with behavioral and educational data sets and algorithms like Item Response Theory, is preferred but not required
  • If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

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