Senior Data Scientist, Applied ML

🕒 August 4

🤠 Texas – Remote

🤠 Texas – Remote

💵 $154k - $200k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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SpyCloud

WebsiteLinkedInAll Job Openings

51 - 200 employees

🔒 Cybersecurity

🔐 Security

🏢 Enterprise

Cybersecurity • Security • Enterprise

SpyCloud is a cybersecurity company that specializes in identity protection and threat intelligence. The company provides solutions for enterprise protection, consumer risk protection, and cybercrime investigations. SpyCloud's services include automated account takeover (ATO) prevention, post-infection remediation, ransomware prevention, session hijacking prevention, threat actor attribution, fraud prevention, dark web monitoring, and penetration testing. By integrating with SIEM and SOAR systems, SpyCloud helps organizations reduce their risk of ransomware and other critical attacks by securing digital identities. Their data partnerships enhance their offerings through access to breached, malware, and phished data. SpyCloud is committed to disrupting cybercrimes by leveraging advanced analytics to protect both employee and consumer accounts and unmask threat actors.

📋 Description

• Design, build, train, and deploy models for cybersecurity use cases including incident detection and mitigation, fraud intelligence, and risk scoring • Develop models using structured and unstructured data for threat detection, alerting, entity resolution, risk scoring, and natural language tagging and classification • Build preprocessing and feature engineering pipelines supporting models • Own model monitoring and evaluation and design feedback loops to improve accuracy and effectiveness • Prototype new approaches and take prototypes to production-grade reliability • Own data validation, transformation, and pipeline health across research-to-production handoffs • Collaborate with software and data engineers to productionize models in cloud-native environments such as AWS • Partner with product managers and domain experts to define success criteria and prototype MVPs • Access, understand, transform, and validate diverse data sources with data engineering teams • Contribute to system design and architectural decisions • Communicate model design choices, tradeoffs, and outcomes to technical and non-technical stakeholders • Maintain documentation for models, pipelines, and evaluation methodologies • Participate in model and compliance reviews and customer-facing discussions as needed

🎯 Requirements

• 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, including linear algebra, optimization, and statistics, and machine learning • Demonstrated experience leveraging Natural Language Processing (NLP) techniques for text classification, tagging, or entity extraction • Proficiency in Python and PyTorch, TensorFlow, scikit-learn, and XGBoost • Demonstrated experience building or maintaining data/feature pipelines with tools such as Airflow, Spark, or Pandas as part of modeling work • Comfort with model versioning and monitoring in production, such as MLflow or DVC • Working experience deploying models into cloud environments or containerized services • Strong communication skills and ability to translate complex problems into actionable solutions • SpyCloud is not sponsoring visas at this time

🏖️ Benefits

• Flexible and remote-friendly work options • Competitive salary package • 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