October 17, 2026
Dear [Hiring manager's name],
At Meridian Commerce I build the churn and fraud models that around 10 million customers interact with indirectly every day, most recently a churn model that reached 0.92 AUC-ROC and is projected to save the business $3.2 million a year in retained revenue. I'm applying for the Data Scientist role at [Company name] because your posting describes the same expectation of owning a model from framing through production, not handing it off halfway.
That churn model enabled retention campaigns that cut churn 15%, and a separate NLP pipeline I built processes more than 500,000 customer reviews a day on Spark, cutting manual review time 80%. I also led our migration to AWS SageMaker, which cut model training time 65% and brought our deployment cycle down from two weeks to two days.
I work daily in Python, scikit-learn and Spark, design and analyze A/B tests that have informed decisions for more than 10 million users, and hold the AWS Certified Machine Learning and Google Professional Machine Learning Engineer credentials. I also mentor three junior data scientists; our team shipped 12 models to production last year with zero rollback incidents.
I'd welcome the chance to walk through the churn model and hear about the modeling problems [Company name] is prioritizing next. I'm glad to do a take-home or a live modeling exercise, whichever your process prefers. Thank you for considering my application.
Sincerely,
Fatima Lopez
