Senior Data Scientist (ML/AI and GenAI)

Sana Commerce

AI/ML & GenAI Development

• Design and build machine learning and Generative AI solutions, including RAG pipelines, LLM-based applications, and semantic search

• Develop forecasting and predictive models to support business and product use cases

• Translate business problems into scalable AI/ML solutions

• Work closely with Product and Engineering teams to define and deliver AI-driven features

Model Development & Production

• Own the end-to-end lifecycle of ML models, from experimentation to production readiness

• Ensure models are designed for scalability, reliability, and performance

• Collaborate with ML/AI Engineers to deploy models into production systems

• Apply best practices for model evaluation, monitoring, and improvement

Stakeholder Collaboration

• Work closely with Product, Engineering, and leadership teams to shape AI-driven roadmap decisions

• Communicate complex technical concepts clearly to non-technical stakeholders

• Influence product direction through data-driven insights

• Act as an advocate for Data and AI across the organization

Engineering & Best Practices

• Write maintainable, production-quality Python code

• Apply software engineering best practices (testing, logging, modular design)

• Contribute to improving standards across ML development and deployment

• Support experimentation and proof-of-concepts where needed