Full-Time Senior Data Scientist

• Own ML end-to-end: Take problems from initial framing all the way through to production deployment, monitoring, and iteration.
• Apply statistical and ML rigour: Choose the right tool for the job, and explain why.
• Keep systems alive: Build with monitoring and retraining in mind.
• Work hand-in-hand with product teams: Collaborate with engineers, PMs, and designers to embed ML into our product.
• Focus on business impact: Success isn’t just a great validation score — it’s improved margins, better efficiency, and clearer decisions for our customers.
• Contribute to our culture: Help us raise the bar by sharing learnings, giving feedback, and shaping how we grow the ML craft at Nory.

• Proven end-to-end ownership: You’ve shipped ML systems in production, more than once.
• Strong classical ML foundation: You're comfortable with forecasting, regression, classification, drift detection, causal reasoning, and feature engineering.
• Statistical & experimental thinking: You apply rigour in how you design solutions and test what’s working.
• Hands-on technical skills: Strong Python, confident with ML libraries like scikit-learn, pandas, and LightGBM. You’ve worked with cloud infrastructure (e.g. GCP) and modern data tools (e.g. dbt, Snowflake).
• Cross-collaboration: You thrive in highly collaborative environments, communicate clearly, and offer help where needed to improve team outcomes.
• Clear communicator: You explain complex ideas simply, listen well, and bring others along with you.
• Startup-ready mindset: You’re proactive, resourceful, and thrive in ambiguity.

• Experience working in lean data teams with high ownership cultures
• Background in B2B SaaS or operational domains (e.g. logistics, supply chain, workforce planning)
• Exposure to LLMs or modern NLP approaches

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