Description

Sentra is the global leader in cloud-native data security for the AI era. The company’s mission is to empower organizations to confidently scale their data operations across multi-cloud and on-premises environments while leveraging the power of AI without compromising security.

Sentra’s unique approach enables enterprises to autonomously scan their environments without the need for agents, ensuring that data remains securely within their cloud or on-premises infrastructure. This innovative methodology sets us apart in the industry, providing organizations with control and visibility over their sensitive data at all times. Our commitment to excellence in data security posture management and data detection and response makes Sentra a leader in the field.

We are seeking an experienced Data Science Lead to join us and play a key role in shaping the future of data security. As a Data Science Lead, you will be part of Sentra’s Classification team, which lies at the core of our mission—identifying sensitive data and helping customers detect the most critical risks in their cloud environments. Our multidisciplinary team of data scientists, analysts, and engineers collaborates to build the world’s most effective sensitive data detection system.

Responsibilities

• Lead the design, development, and deployment of machine learning models, including NER and LLMs, to enhance Sentra’s data classification and entity recognition capabilities
• Collaborate closely with Product and Engineering to align cutting-edge AI technologies with real-world customer needs and Sentra’s roadmap.
• Build and maintain a robust experimentation framework to accelerate model iteration, evaluation, and deployment
• Leverage Sentra’s extensive datasets to define key quality metrics and drive continuous improvements in classification accuracy
• Adapt quickly to evolving customer needs while maintaining high standards of model performance and reliability
• Innovate by identifying new opportunities to improve accuracy, automate workflows, and introduce AI-driven features that provide value to our customers

Requirements

• 7+ years of experience in data science, with a strong focus on NLP and/or Generative AI.
• Proven expertise in developing and deploying machine learning models at scale in production environments.
• Strong proficiency in Python, SQL, and ML frameworks.
• Hands-on experience with big data technologies and cloud services, especially for processing and analyzing large-scale datasets.
• Experience with MLOps tools and cloud-based AI infrastructure.
• Excellent collaboration and communication skills, with a track record of working cross-functionally with engineering and product teams.

Nice to have:

• Prior experience in the data security or the compliance industry
• Experience processing large amounts of data using Big Data tools like Spark
• Experience using cloud based fine tuning frameworks
• A Master’s or Ph.D. in a relevant field (e.g., Data Science, Computer Science, Statistics, Mathematics) is preferred