Dear Hiring Manager,
I am returning to work after a planned career break and targeting data scientist roles where my previous experience in causal reasoning, model evaluation, stakeholder communication, and metric interpretation is directly useful. During the break I kept current through focused practice with Python, SQL, scikit-learn, BigQuery, dbt, and experiment design and rebuilt a recent sample around analysed activation cohorts, corrected a biased funnel read, and changed onboarding priorities for a 2.8M-user product.
The break has not changed the way I approach the core work of this role. 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 welcome the opportunity to discuss the role and the recent work I can show now. 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