Climb Channel Solutions NA

Senior Data Scientist

Climb Channel Solutions NA

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Job 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