Senior Data Scientist

SpyCloud-posted 4 days ago
Full-time • Mid Level
Austin, TX
101-250 employees
Resume
Match Score
Upload and Match ResumeTrack Jobs with Teal

SpyCloud is on a mission to make the internet a safer place by disrupting the criminal underground. SpyCloud’s solutions thwart cyberattacks and protect more than 4 billion accounts worldwide. Cybersecurity is an exciting, evolving space, and being at the forefront of the fight to disrupt cybercrime makes SpyCloud a special place to work. If you’re driven to align your career with a fantastic mission, look no further! We are seeking a Senior Data Scientist to help drive our analytic, machine learning, and other AI capabilities and resulting product offerings for cybersecurity use cases. You will be instrumental in shaping and executing data science priorities and in taking customer challenges and producing effective, efficient, technical solutions that support strategic goals and improve the customer experience. This role is ideal for a creative and highly motivated data scientist who thrives in a collaborative environment and is passionate about leveraging math and analytics to deliver insight, understanding, and impact to customers.

  • Advanced Analytics & Modeling Tackle complex problems by selecting and applying the right mathematical approaches and machine learning models across structured and unstructured data
  • Design, train, test, and tune machine learning models for threat intelligence, incident detection, alerting, risk scoring, and more
  • Build successful prototypes to validate model performance and feasibility
  • Design and implement preprocessing pipelines and feature engineering workflows
  • Define quantitative metrics to track model accuracy, performance, and business impact
  • Create and maintain clear internal, external, and compliance documentation on models
  • ML applications will be diverse and span foundational learning paradigms
  • Cross-Functional Problem Solving Translate customer and internal into analytically driven questions
  • Rapidly spin up MVPs to test solutions
  • Propose and prototype new data sources and features, and Work with engineers to support deployment of production-grade models
  • Ensure data science work – in purpose and function - align with product and strategic goals
  • Collaborate with engineering, product, research, and customer-facing teams to: Communicate and Advocate Communicate analytic and modeling design choices and rationale to technical and non-technical stakeholders
  • Maintain cross-functional feedback loops – both internal and with select customers – to evaluate the technical and contextual success of data science products
  • Deep expertise in applied math (linear algebra, calculus, statistics, optimization, graph theory) and understanding of when to apply various modeling approaches
  • Minimum 5 years in data science or analytics with proven success in the design, training, and evaluation of ML models
  • Strong coding capabilities, specifically solid experience in Python using packages like using PyTorch/TensorFlow, scikit-learn, XGBoost, and others
  • Excellent communication skills; adept at translating complex analyses into digestible recommendations for diverse teams
  • Comfortable owning and driving projects in a fast-paced, high-stakes environment
  • Experience with Natural Language Processing (NLP) algorithms, specifically text classification, NLP-based threat tagging, or similar tasks
  • Experience with data engineering or ELT/data pipeline creation
  • Domain experience in cybersecurity, threat intelligence, account takeover, ransomware analysis, or similar fields
  • Familiarity with graph analytics, knowledge graphs, or cybersecurity ontologies (e.g., MITRE ATTACK)
  • 401(k) with Employer Contribution
  • Health, Vision, and Dental Insurance
  • Health Savings Account (HSA) available with Employer Contribution
  • Employer Paid Life, Short-term, and Long-term Disability Insurance
  • Generous PTO Plan and 16 paid holidays per year
  • Retirement Savings Plan with Employer Contribution
  • Employer Provided Private Health Insurance and Healthcare Cashplan
  • Employer Paid Life Insurance and Income Replacement
  • Generous Holiday Plan and 14 paid holidays per year
Track Jobs with Teal

Job Search Resources

•
AI Resume Builder
•
Senior Data Scientist Resume Examples
•
Senior Data Scientist Cover Letter Examples

Tools

Career Hubs

Guides

Company

© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service