Data Scientist
Core
Develop algorithms and analytical production-grade solutions to generate value for Riskified by leveraging advanced techniques like classification models, NLP, anomaly detection, and deep learning.
Role type
Data Scientist
Builds
Production-grade algorithms and analytical solutions for ecommerce risk and fraud detection
Domain
Ecommerce, Fraud Detection, Machine Learning
Deliverable
production ML models
Required skills
Machine learning algorithms, Python, SQL, Statistical modeling, Feature engineering, Data preprocessing, Data visualization
Preferred skills
Fraud domain experience, Airflow, PySpark, Docker, K8S
Technologies
Python, SQL, Pandas, NumPy, Airflow, CircleCI, PySpark, Docker, K8S
Responsibilities
Collect, clean, and transform large, complex data sets; Apply statistical methods to identify patterns and develop predictive models; Develop and implement machine learning algorithms to solve business problems; Extract relevant features from structured and unstructured data; Build, train, and optimize machine learning models; Present complex analysis results using data visualization techniques; Collaborate with cross-functional teams to implement solutions in production environments; Stay up to date with latest advancements in data science and machine learning
Seniority
Mid-level (3+ years experience)