Senior Data Scientist, Applied ML - SpyCloud

About SpyCloud

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.

The Role

We're looking for a Senior Data Scientist, Applied ML to design, build, and deploy models for critical cybersecurity use cases like incident detection and mitigation, fraud intelligence, and risk scoring.

You'll own the full model lifecycle — from data understanding and preparation through prototyping and deployment in production — and work closely with engineering, product, and research teams to turn complex problems into scalable, reliable systems. This role is ideal for someone who thrives in applied, hands-on environments where impact and collaboration matter, and who has genuinely owned data work end-to-end.

What You'll Do

• Model Development & Deployment: Develop, train, and deploy models using real-world structured and unstructured data to power critical security features such as threat detection and alerting, entity resolution and risk scoring, and natural language-based tagging and classification.
• Pipeline Engineering: Build the preprocessing and feature engineering pipelines your own models depend on. Own model monitoring and evaluation, designing feedback loops to continuously improve accuracy and effectiveness.
• Bridge Research & Production: Prototype new approaches from scratch and take existing prototypes to production-grade reliability. Take ownership of data validation, transformation, and pipeline health across the handoff points between research and production.
• Collaborate & Design: Partner with software/data engineers to productionize models in modern cloud-native environments like AWS. Work with product managers and domain experts to define success criteria and rapidly prototype MVPs.
• Communicate & Document: Clearly articulate model design choices, tradeoffs, and outcomes to both technical and non-technical stakeholders. Maintain thorough documentation and participate in compliance reviews.

Requirements

• Experience: 4+ years of experience building and shipping models in production with direct, hands-on ownership of the data lifecycle.
• ML & Math: Strong background in applied math (linear algebra, optimization, statistics) and machine learning.
• NLP: Demonstrated experience leveraging Natural Language Processing (NLP) techniques for text classification, tagging, or entity extraction.
• Tech Stack: Proficiency in Python and key ML libraries: PyTorch, TensorFlow, scikit-learn, XGBoost.
• Data Pipelines: Experience building or maintaining data/feature pipelines (e.g., with Airflow, Spark, Pandas) as part of your modeling work.
• MLOps: Comfort with model versioning and monitoring in production (e.g., MLflow, DVC) and deploying models into cloud environments or containerized services.
• Communication: Strong communication skills and the ability to translate complex problems into actionable solutions.

Nice to Have

• Deeper MLOps/DevOps/data engineering exposure (infra-as-code, CI/CD depth, etc.).
• Familiarity with cybersecurity datasets or domains (threat intelligence, account takeover, ransomware, etc.).
• Exposure to graph analytics, knowledge graphs, or cybersecurity frameworks like MITRE ATT&CK.
• Background working with unstructured data (e.g., log files, threat reports, breach datasets).

Benefits & Perks

U.S.-Based Employees:

• 401(k) with Employer Contribution
• Health, Vision, and Dental Insurance (HSA available with Employer Contribution)
• Employer Paid Life, Short-term, and Long-term Disability Insurance
• Generous PTO Plan and 16 paid holidays per year

U.K.-Based Employees:

• Retirement Savings Plan with Employer Contribution
• Employer Provided Private Health Insurance and Healthcare Cashplan
• Employer Paid Life Insurance, Income Replacement, and Critical Illness Protection
• Employee Assistance Program
• 25 days annual accrued holiday plus 8 paid bank holidays and a paid company shutdown during winter holidays

Please note: SpyCloud is not sponsoring visas at this time.