# Staff Data Scientist

**Company:** [Mercury](https://hotfix.jobs/companies/mercury)
**Location:** Remote
**Role:** Data Science
**Salary:** $226k – $299k/yr
**Experience:** 7+ years
**Skills:** Python, SQL, Machine Learning, Statistical Modeling, Model Deployment, Model Monitoring, Fraud Detection, Risk Modeling, ETL, dbt, LLMs, Generative AI, Data Pipelines, Model Governance, Data Quality
**Posted:** 2026-09-02

> Staff Data Scientist focused on building and operating machine learning systems for real-time fraud detection and financial crime risk. The role requires 7+ years working with large datasets, strong Python and SQL skills, production ML experience, and technical leadership.

## Job Description

## Responsibilities
- Build, validate, and deploy machine learning models to identify and prevent fraud in real time.
- Document, test, and monitor models to support reproducibility and robustness.
- Ensure data quality and reliability across pipelines and tools.
- Collaborate with Risk Strategy to develop model inputs and applications, and with Engineering to optimize deployment and observability.
- Act as a technical lead by prototyping, iterating on, and codifying best practices while helping teammates adopt them.
- Drive strategic alignment across teams with differing roadmaps, timelines, or architectures.

## Requirements
- 7+ years of experience working with and analyzing large datasets to solve problems and drive impact.
- 5+ years of machine learning experience.
- Proficiency in SQL and experience using it to understand and manage imperfect data.
- Proficiency in Python, statistical modeling, and machine learning.
- Experience deploying and monitoring machine learning models in production.
- Ability to lead and empower others while delivering independently and developing teammates.
- Comfort working in a fast-paced environment with evolving priorities.

## Nice-to-haves
- 1+ years of relevant risk experience.
- Familiarity with large language models or generative AI applications for risk or fraud detection.
- Experience with modern data pipeline and ETL tools such as dbt.
- Experience with model governance in finance or other regulated industries.
- Experience building zero-to-one solutions in ambiguous or greenfield problem spaces.

## Compensation
- US employees: target new-hire base salary of $239,000–$298,800 USD.
- Canadian employees: target new-hire base salary of $225,900–$282,400 CAD.
- Total rewards include base salary, equity, and benefits.

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