• 2 to 6 years in a role where you were judged on outcomes with a customer or client: consulting, technical sales, customer-facing data science, product, founding or early-startup operating roles
• Technically curious with a working floor: comfortable in a Python or SQL notebook, able to explain what a prediction problem is and read a backtest, and eager to go deeper. You will be tested on this, not asked about it
• Articulate and confident: you structure a messy problem on a whiteboard, write a crisp one-pager, and hold a room of senior people
• Fast learner with evidence: you have picked up a domain or a technology quickly before and can show what you built or shipped
• Hungry and mobile: travel, long customer days, and ambiguity energize you
• Humble and team-first: you take the unglamorous task when it moves the account
• Depth in one industry we sell into: energy, financial services, insurance, shipping, retail, or private equity
• Prior exposure to applied ML, forecasting, or analytics products
• A second language used in business