Job Description
Company Description
At Sana Commerce we’re committed to an inclusive environment and recognize that our diverse work\force is one of our greatest strengths.
It all started in 2007, with a pizza and a plan. Sana Commerce is an e-commerce platform designed to help manufacturers, distributors and wholesalers succeed by fostering lasting relationships with customers who depend on them. We’re a fast-growing SaaS company that allows you to take ownership of your career.
As a Senior Data Scientist, you will work in close partnership with Data Scientists, ML/AI Engineers, Engineering Managers, and Product leadership to shape and operationalize AI and GenAI capabilities within the Sana Commerce platform. You will design and develop intelligent features such as forecasting models, Retrieval-Augmented Generation (RAG) pipelines, semantic search, and document processing solutions, taking ownership of model development and ensuring readiness for production.
This is a hands-on role with strong stakeholder interaction, requiring the ability to communicate complex topics clearly to non-technical audiences and influence product and technical decisions. You will collaborate closely with ML/AI Engineers to deploy scalable solutions and contribute to a culture of pragmatic AI development, balancing advanced approaches with real-world reliability, scalability, and cost-efficiency.
Job Description
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
Qualifications
Qualifications
5+ years of experience in Data Science or ML Engineering, with a proven track record of deploying models into production environments
Hands-on experience with GenAI architectures (RAG), LLM orchestration (LangChain or LlamaIndex), and vector databases (e.g., Pinecone, Qdrant)
Strong understanding of scalability, reliability, and observability in ML systems
Solid foundation in statistics, mathematics, and predictive modeling (e.g., forecasting)
Strong Python skills, with experience writing production-quality code (OOP, testing, logging)
Experience building APIs using FastAPI or Flask
Experience with Docker and Kubernetes (AKS)
Experience working with Microsoft Azure (Azure OpenAI, Azure ML, Azure DevOps)
Experience collaborating with Engineering Managers and cross-functional teams
Strong communication skills, with the ability to explain complex topics to non-technical stakeholders
Nice to Have
Experience fine-tuning open-source LLMs (e.g., Llama, Mistral)
Experience with information extraction or OCR
Familiarity with MLOps tools (MLflow, Kubeflow, DVC)
Background in B2B eCommerce, logistics, or supply chain
Contributions to open-source projects or a strong technical portfolio
Why you’ll love working here
- Impact from day one – Join a scale-up where your ideas shape how global businesses operate online.
- Continuous learning – Access a structured onboarding rated 9.1⁄10 by previous hires, mentorship, and feedback culture.
- Hybrid flexibility – Work from our office in Alexandria 3 days per week and from home 2 days.
- Career growth – Expand your technical and leadership scope in a company built for long-term success.
Additional Information
Who we are
At Sana Commerce, our values drive everything we do:
- Champions of Our League – We deliver lasting success, balancing quick wins and long-term value
- Supercharge Our Customers – We’re revolutionizing B2B commerce together, helping our customers to lead and succeed
- Determined to Grow – We embrace challenges, growing and raising the bar for ourselves and our industry
- Bold Together – We dare to be bold because we have each other’s back
Job descriptions can be tough to interpret. Even if you may not tick all the boxes, we have ambitious plans and we encourage people who share our vision and look forward to growing with us. Apply now.
