Staff Data Scientist – Performance Marketing
Que
PythonSQLTableau
Senior Data Scientist
Climb Channel Solutions NA
full-time
Posted on:
Location: 🇺🇸 United States
Visit company websiteJob Level
Senior
Tech Stack
CloudNumpyPandasPythonPyTorchScikit-LearnSFDCSQLTensorflow
About the role
- Own design, development, and deployment of analytical solutions including Snowflake data models, traditional ML models, and LLM-powered applications
- Collaborate with business stakeholders, data engineers, and product teams to transform complex datasets into actionable insights
- Design, develop, and optimize complex Snowflake data models to support analytics and AI 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)
- Lead LLM-based solution development, including model selection, prompt engineering, and fine-tuning
- Implement RAG and Agentic LLM architectures for interactive, context-aware AI experiences
- Architect and manage end-to-end AI/ML pipelines including deployment, monitoring, and performance optimization
- Establish governance for AI models: version control, performance tracking, and retraining schedules
- Collaborate on Streamlit-based applications for visualization, analytics self-service, and AI interaction
- Integrate AI models into user-facing tools to enhance business decision-making
- Partner with cross-functional stakeholders to identify high-impact AI/ML opportunities and translate solutions into business value
Requirements
- Bachelor’s plus 8+ years of hands-on data science experience, or Master’s plus 6+ years
- Advanced Snowflake expertise, including complex SQL and scalable datamodel design
- Proficiency in Python for ML/AI development (scikit-learn, pandas, NumPy, PyTorch/TensorFlow)
- Strong LLM expertise (Claude, GPT, Mistral, Gemini, etc.), prompt engineering, and fine-tuning
- Experience with AI/ML lifecycle management tools (MLflow, Vertex AI, SageMaker, or equivalent)
- Familiarity with RAG and Agentic LLM design patterns
- Ability to communicate complex technical topics clearly to technical and non-technical audiences
- Experience in Streamlit app development (preferred)
- Knowledge of B2B SaaS business models and GTM processes (preferred)
- Exposure to MLOps best practices and AI governance frameworks (preferred)
- Background working with large-scale Salesforce/SFDC datasets (preferred)
- Naturally curious, collaborative, self-motivated, and comfortable in fast-paced environments
