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SpyCloud

Senior Data Scientist, Applied ML

SpyCloud · Austin, Texas | Remote

Posted about 3 months ago · $154,000 – $200,000

or apply directly on SpyCloud's site. We never take the application ourselves.

Is this posting real?

This role has been open
78 days
SpyCloud's roles stay open a median of 79 days
Reposted
No
Salary listed
Yes
100% of SpyCloud's roles list one
Ghost-job risk at SpyCloud
high
8 stale, 1 reposted of 9 open
Hiring momentum
19 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-22

Measured from postings appearing on and disappearing from SpyCloud's own greenhouse board since 2026-08-03. Full hiring picture for SpyCloud.

About this role

As a Senior Data Scientist in Applied ML at SpyCloud, you will design, build, and deploy machine learning models for cybersecurity applications such as incident detection and fraud intelligence. You will manage the entire model lifecycle, collaborating with various teams to ensure models are production-ready and effective. Your role will involve working with both structured and unstructured data, developing pipelines, and communicating technical details to stakeholders.

Our read on this posting3.6out of 5
benefits
3/5
freshness
1/5
career value
4/5
role clarity
5/5
pay transparency
5/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of SpyCloud as an employer.

What you need

  • 4+ years of experience building and shipping models in production with direct, hands-on ownership of the data lifecycle around them
  • Strong background in applied math (linear algebra, optimization, statistics) and machine learning
  • Demonstrated experience leveraging Natural Language Processing (NLP) techniques for text classification, tagging, or entity extraction
  • Proficiency in Python and key ML libraries: PyTorch, TensorFlow, scikit-learn, XGBoost
  • Demonstrated experience building or maintaining data/feature pipelines (e.g., with Airflow, Spark, Pandas) as part of your own modeling work
  • Comfort with model versioning and monitoring in production (e.g., MLflow, DVC)

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)

What you get

  • 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

Worth weighing

  • No mention of specific tools or technologies beyond ML libraries and cloud environments
  • The role requires strong collaboration skills, which may be challenging in a remote setup
  • The salary range is quite broad, which may indicate variability based on experience or negotiation

Summarised from SpyCloud's posting. Read the full original.

Listed by SpyCloud on their greenhouse job board, last confirmed open on 2026-10-22. PitchMeAI is not the employer.

More roles at SpyCloud

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