Senior/Staff Data Scientist
Develops and optimizes machine learning and statistical models for fraud prevention, analyzing large-scale data and communicating insights across technical and business teams. The role requires at least three years of data science or machine learning experience, with fraud or anti-money-laundering expertise preferred.
About the job
Responsibilities
- Develop and implement advanced fraud detection models using machine learning and statistical techniques.
- Collaborate with engineering, product, and operations teams to design and implement fraud detection systems and processes.
- Analyze large datasets to identify patterns, trends, and anomalies associated with fraudulent behavior.
- Evaluate, optimize, and update fraud detection models as fraud trends and tactics change.
- Apply current advances in fraud detection, data science, and machine learning.
- Communicate data analysis and model performance results to technical and non-technical stakeholders.
- Ensure data privacy and security compliance in fraud detection and data analysis.
Requirements
- 3+ years of experience in data science, machine learning, or a related field, focused on fraud prevention and/or anti-money laundering.
- Proficiency in Python.
- Strong knowledge of machine learning algorithms and statistical techniques.
- Experience with large datasets and distributed systems such as Apache Spark and Dask.
- Experience with data cleaning, data quality, data transformation, and feature engineering at scale.
- Excellent analytical and problem-solving skills.
- Strong communication skills.
- Ability to work independently and collaboratively in a fast-paced startup environment.
Nice-to-haves
- Cloud development experience with AWS, Google Cloud, or Azure.
- MLOps experience.
- Experience in fintech, marketplaces, or financial services.
- Knowledge of current fraud tactics and trends.
- Experience with fraud detection tools and systems.
Compensation & Benefits
- Competitive salary and equity packages, including a 401k.
- Remote-first culture.
- Employer-covered comprehensive health, dental, and vision insurance with a top-tier plan for US employees and dependents.
- Unlimited PTO.
- AI-first technical environment.
- Family-friendly culture with regular team events and offsites.
- Professional development opportunities.
- Mission-driven work focused on protecting online transactions.
Skills
Python, Machine Learning, Statistical Techniques, Fraud Detection, Anti-Money Laundering, Spark, Dask, Feature Engineering, AWS, GCP, Azure, MLOps
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