SecurityScorecard Senior Data Scientist (Location - Anywhere) in New York, New York

About SecurityScorecard We’re a quickly growing, Sequoia Capital and GV backed information security SaaS company based in Manhattan. We’re helping organizations across the globe manage and understand their security posture and their vendor’s security posture through our security ratings platform. At SecurityScorecard, we're building a cloud-based threat intelligence solution and big-data security platform, pushing the limits of technology, and energizing our growth while at the same time improving the data accuracy and reliability of our services. We’re fun, fast, smart, and looking for individuals that can help us grow and make the most of what we have to offer, taking initiative and advantage of the flexibility we provide.

About the Position SecurityScorecard's Data Science team is an integral part of our organization, responsible for solving difficult data problems while embracing cyber security challenges with open arms. We’re working on some interesting problems, and we’re searching for a Senior Data Scientist who’ll help us develop predictive models and classifiers that will be implemented as commercial solutions. You'll be gathering and processing dirty data at scale, including writing scripts, calling APIs, and writing SQL queries. In addition to creating a variety of predictive models from our datasets that can support security research, you'll visualize a variety of threat signal data to uncover how security vulnerabilities and malware spread across networks.

What you have - Security experience in a commercial environment - Experience and love for problems with large data sets, machine learning, visualization, and cyber security - Commercial experience developing predictive models or classifiers - Experience with ETL techniques - Clear, concise, and effective communication skills (written and verbal) - Ability to collaborate with engineers across different teams to understand and solve problems - Understanding of Agile development practices *Bonus: knowledge of NLP concepts

Tools you'll use - Python - Open-source numerical and scientific libraries - Scikit - AWS - Postgres - D3 *Nice to have: Scala

Why You’ll Love Us At SecurityScorecard, we take working hard and playing hard very seriously. We provide competitive salaries, stock options, and the full gamut of benefits along with the perks that come with being a Sequoia and GV-backed company. We expect a lot from our people and we reward them handsomely. We have a work-from-home Friday benefit, weekly Lunch and Learns and Security Learnings to further our employee’s education. In addition to the beer keg and foosball table, we even provide a stipend for any career-related education.