Dear Hiring Manager,
My previous role ended through redundancy after a company-wide restructuring, and I am now looking for a data scientist role where I can apply causal reasoning, model evaluation, stakeholder communication, and metric interpretation. My recent work included analysed activation cohorts, corrected a biased funnel read, and changed onboarding priorities for a 2.8M-user product, so I am entering the search with current examples and a clear target.
I want to be direct about the context while keeping the focus on the work I can do next. Your team needs statistical judgement, SQL fluency, experiment design, and clear product recommendations, and my strongest examples sit in that exact area. I would use this letter to show the connection with one specific project, the constraints I worked under, and the judgement I brought to the decision points.
A recent example is that I analysed activation cohorts, corrected a biased funnel read, and changed onboarding priorities for a 2.8M-user product. That work required Python, SQL, scikit-learn, BigQuery, dbt, and experiment design, but the more important point is how I made decisions, explained tradeoffs, and followed the result through after release.
I would appreciate the chance to discuss how my recent delivery experience could help your team. data science screens test whether evidence changes decisions, so I would keep the letter concise, evidence-led, and tied to the outcomes the hiring team is likely to care about.
Yours sincerely, Alex Morgan