Proofpoint Senior Data Scientist in Broomfield, Colorado
Senior Data Scientist
At Proofpoint, we have a passion for protecting people, data, and brands from today’s advanced threats and compliance risks. We hire the best people in the business to:
Build and enhance our proven security platform
Blend innovation and speed in a constantly evolving cloud architecture
Analyze new threats and offer deep insight through data-driven intel
Collaborate with customers to help solve their toughest security challenges
We are singularly devoted to helping our customers protect what matters most. That’s why we’re a leader in next-generation cybersecurity—and why more than half of the Fortune 100 trust us as a security partner.
Do you have a passion for building custom data visualizations? Do you want to apply machine learning to hard problems in new application areas? Do you keep up with the latest on GANs, ResNets, CNNs, RNNs, and Deep Reinforcement Learning but have also mastered the classics like SVM and Random Forest? Are you looking for the opportunity to work with a great team that combines algorithm design, software engineering, and domain knowledge into products that are first of their kind? If so, we are looking for you. We need a Data Scientist who will work on a cross functional team to help uncover cyber threats hidden in large amounts of data. Your primary focus will be applying your skills in various areas like NLP, graph mining, computer vision, and predictive analytics to help us build products for a variety of cyber security needs. In addition to generating insights from data and communicating those insights to stakeholders, this role will be involved in deciding which questions are worth pursuing.
Feature engineering, building and optimizing classifiers, applying machine learning and deep learning expertise
Blending data from disparate sources, mining the resulting data lake to build models
Exposing prototypes and managing feedback loops that improve the utility of the implementation
Working with engineering team to implement models efficiently
Working with a customer / product team to ensure that problem requirements are met
Conducting ad-hoc analysis and innovation around data visualization
Building comradery and having fun!
What you bring to the team
Excellent understanding of machine learning algorithms, processes, tools and platforms including:
Supervised, unsupervised, and semi-supervised learning
Random Forest, Gradient Boosting, SVM, ConvNet, RNN, T-SNE, DBSCAN, etc.
Python, Numpy, Scipy, Pandas, Cython, Numba, Sklearn, TensorFlow, Keras, PyTorch, etc.
Great communication skills, ability to explain predictive analytics to non-technical audience, e.g. D3js
Proficiency in data exploration techniques and tools, e.g. SQL, NoSQL, Hive, etc.
Expert level knowledge in statistical analysis, linear algebra, optimization
MS or PhD in Statistics, Machine Learning, Applied Physics or Computer Science (or technical degree with 5+ years industry experience.)
As a customer focused and driven-to-win organization with leading edge products, there are many exciting reasons to join the Proofpoint team. We believe in hiring the best the brightest and cultivating a culture of collaboration and appreciation. As we continue to grow and expand globally, we understand that hiring the right people and treating them well is key to our success! We are a multi-national company with locations in 10 countries, with each location contributing to Proofpoint’s amazing culture!
Proofpoint is an equal opportunity employer and welcomes applications from all qualified individuals regardless of race, sex, disability, religion/belief, sexual orientation or age.
Proofpoint does not accept unsolicited resumes from external recruiters or employment agencies. In the absence of a signed Recruitment Services Agreement, Proofpoint will not consider or agree to payment of any recruiter or agency fee. In the event a recruiter or agency submits a resume or candidate without a previously signed agreement, Proofpoint explicitly reserves the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency.