Agent Data Scientist

Job summary

Responsibilities

Most of your time will be spent working directly with customers to establish what should be measured and then building what produces it. Usually, the hard part comes from driving alignment, not the analysis itself.

• Work directly with customers to define the metrics that will be used to measure performance, then operationalize them so that both sides use and trust them.
• Own the delivery of those metrics, where transparent access to data helps reinforce the narrative we build with the customer.
• Own improving the metrics that matter most on your accounts, from diagnosing what drives performance to designing the experiments and driving the changes that move them.
• Scope and build the product features, tools, and frameworks that empower the rest of Decagon to do more of this work themselves.
• Define what success looks like for new initiatives that have no precedent. As Decagon’s product continues to evolve, new surface areas will emerge where the right way to measure…

What they're looking for

• 5+ years in data science, analytics, or another quantitative role where you drove analyses end to end and used them to move decisions, whether at a high-growth technology…
• Exceptional judgment when interpreting metrics. You think through the edge cases quickly, and you can see how the same number will be read by someone arguing for us and against…
• Comfort in fast-moving, ambiguous situations where you shape the approach as much as you implement it. Given a question with no established right answer, you can identify the…
• Strong independence. You operate with very little day-to-day direction, set your own priorities against a broad mandate, and bring decisions rather than questions.
• Ability to bring stakeholders to a shared definition of success, even when they arrive with different priorities and different levels of technical depth.

Tech stack

• SQL
• Python