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14d 4h ago

Senior Data Scientist

SpyCloud·Data Scientist (AI/ML) · Cybersecurity
📡Remote In-Country
|United States of America
$154k - $200k USD/yr
airflowdvcmlflownatural_language_processing+7
1h 17m ago

Data Scientist Lead

Coderio·Data Scientist (AI/ML) · Technology
📡Fully Remote
|Buenos Aires
awsdata_science/data_engineeringdockerkubernetes+13
13d 8h ago

Senior Data Scientist

Gradient AI·Data Scientist (AI/ML) · Insurance Technology
📡Fully Remote
$135k - $165k USD
awsazuredatabricksdeep_learning+7
13d 8h ago

Principal Data Scientist

Gradient AI·Data Scientist (AI/ML) · Insurance Technology
📡Fully Remote
$190k - $235k USD
deep_learningml_algorithmsmlopsnatural_language_processing+1
6d 11h ago

Data Scientist

ARRISE·Data Scientist (AI/ML) · iGaming
📡Fully Remote
awsazureci/cddocker+3
10d 22h ago

Data Scientist

Quora·Data Scientist (AI/ML) · Technology
📡Fully Remote
$122k - $173.1k USD
analyticsmodelingpythonr
13d 11h ago

Data Scientist

ARRISE·Data Scientist (AI/ML) · iGaming
📡Fully Remote
ci/cdcloud_servicescomputer_visiondeep_learning+4

Senior Data Scientist

SpyCloud | Data Scientist (AI/ML) | Cybersecurity
Remote In-Country
Full Time
United States of America
$154k - $200k USD/yr
Position:
Senior Data Scientist, Applied ML

Company:
SpyCloud

Compensation:
Base Salary Range: $154,000 – $200,000

Location:
United States, Austin, Texas | Remote

Employment type:
Full Time

Work Arrangement:
Flexible and remote-friendly

Short Summary:
SpyCloud is seeking a Senior Data Scientist to design, build, and deploy models for critical cybersecurity use cases. This role involves owning the full model lifecycle and collaborating with various teams to create scalable systems that disrupt cybercrime.

Responsibilities:
- Develop, train, and deploy models using structured and unstructured data for security features.
- Build preprocessing and feature engineering pipelines.
- Monitor and evaluate models, designing feedback loops for continuous improvement.
- Collaborate with software and data engineers to productionize models in cloud environments.
- Partner with product managers and domain experts to define success criteria and rapidly prototype MVPs.
- Maintain thorough documentation and participate in model reviews and discussions.

Requirement:
- 4+ years of experience building and shipping models in production.
- Strong background in applied math and machine learning.
- Experience with Natural Language Processing techniques.
- Proficiency in Python and key ML libraries (PyTorch, TensorFlow, etc.).
- Experience with data/feature pipelines and model versioning in production.
- Strong communication skills to translate complex problems into actionable solutions.

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

Required Skills

airflowdvcmlflownatural_language_processingpandaspythonpytorchscikit_learnsparktensorflowxgboost

Required Languages

🇬🇧 English

Key competency: Data Scientist (AI/ML)
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