Senior Data Scientist

The role

You will design, build, and deploy machine learning models for an AI-driven cybersecurity platform. You will manage the end-to-end model lifecycle using large volumes of cybersecurity and operational data.

What you will do

• Design, develop, train, and deploy machine learning models for threat detection, anomaly scoring, and behavioral analytics.
• Conduct feature engineering and selection on security data streams.
• Own the model lifecycle including versioning, testing, and continuous improvement.
• Stay up-to-date on research in data science, deep learning, and security-specific AI.
• Explore novel statistical methods and machine learning techniques.
• Design and implement A/B testing and evaluation frameworks.
• Partner with Data Engineers to preprocess and structure large datasets.
• Implement and manage data pipelines for feature extraction and model serving.
• Leverage vector databases and RAG pipelines.
• Collaborate with Security Operations, Product, and Data Engineering teams.

Required qualifications

• 5+ years of professional experience in Data Science, Machine Learning Engineering, or a related quantitative field.
• Strong theoretical and practical experience with a wide range of ML models.
• Proficiency in Python and its data science ecosystem (Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow).
• Expertise in SQL and experience working with large-scale data warehouses (Snowflake, BigQuery, or Redshift).
• Demonstrated experience with MLOps principles, tools, and platforms.
• Solid understanding of probability, statistics, and experimental design.
• Experience deploying and maintaining models in a cloud environment (GCP or AWS).
• Excellent communication skills.
• Master’s or Ph.D. in Computer Science, Data Science, Statistics, Engineering, or a related quantitative field (or equivalent experience).

Nice to have

• Prior experience applying data science/ML in the cybersecurity or security analytics domain, particularly in MDR or MSSP environments.
• Experience with real-time / streaming data systems (Kafka, Pub/Sub, Kinesis).
• Familiarity with the use of Vector Databases and RAG architectures.
• Experience with modern analytics engineering frameworks.
• Experience working in an early-stage startup environment.
• Relevant certifications in Data Science or Cloud ML Platforms

Benefits

• Competitive salary and benefits package.
• Opportunity to work with cutting-edge AI-driven cybersecurity technologies and Google SecOps solutions.
• Culture of growth and development.

About the company

TENEX is an AI-native, automation-first, built-for-scale Managed Detection and Response (MDR) provider. It is a fast-growing startup backed by Andreessen Horowitz.