Delinea is looking for a Senior Data Scientist to drive strategic decisions across their B2B SaaS business by developing and deploying analytical solutions, including Snowflake-powered data models, traditional ML models, and LLM-powered applications.
Requirements
- Advanced Snowflake expertise, including complex SQL and scalable datamodel design.
- Proficiency in Python for ML/AI development, including popular libraries (scikit-learn, pandas, NumPy, PyTorch/TensorFlow).
- Strong LLM expertise: understanding different models (Claude, GPT, Mistral, Gemini, etc.), prompt engineering techniques, and enterprise AI application development.
- Experience with AI/ML lifecycle management tools (MLflow, Vertex AI, SageMaker, or equivalent).
- Familiarity with RAG and Agentic LLM design patterns.
- Experience in Streamlit app development for analytics or AI interaction.
- Background in working with large-scale Salesforce/SFDC datasets.
Responsibilities
- Design, develop, and optimize complex Snowflake data models to support advanced analytics, machine learning, and AI-driven applications.
- Build scalable, efficient data pipelines to ensure high-quality data availability for analytics and modeling.
- Develop, train, and deploy traditional ML models (classification, regression, clustering, etc.) to address key business problems.
- Lead LLM-based solution development, including model selection (Claude, GPT, Mistral Large, Gemini, etc.), prompt engineering, and fine-tuning for enterprise-scale applications.
- Implement RAG (Retrieval-Augmented Generation) and Agentic LLM architectures to enable interactive, context-aware AI experiences.
- Architect and manage end-to-end AI/ML pipelines—from data preparation and model training to deployment, monitoring, and performance optimization.
- Integrate AI models into user-facing tools to enhance business decision-making.
Other
- Bachelor’s plus 8+ years of hands-on data science experience, with a proven track record of delivering production-grade ML models OR Master’s degree in Data Science, Computer Science, Statistics, or related field plus 6+ years of hands-on data science experience, with a proven track record of delivering production-grade ML models.
- Ability to communicate complex technical topics clearly to both technical and non-technical audiences.
- Knowledge of B2B SaaS business models and GTM processes (marketing, sales, customer success).
- Naturally curious and passionate about continuous learning.
- Collaborative and thrive in cross-functional team environments.
