Lead Data Scientist - Fraud & Risk Analytics

Riskified; Lisboa; Híbrido; EUR 70 000 - 90 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Hybrid mode of work

Flexible schedule

Healthcare benefits

Wellness program

Global onboarding

Access to Udemy

Resumo da oferta

Riskified is looking for a Data Science Team Leader to lead and mentor a team of data scientists in Lisboa, Portugal. This role involves defining technical approaches for complex data projects and ensuring high-impact machine learning solutions for fraud detection and risk assessment. Candidates should have 6+ years of experience in designing machine learning algorithms, with strong programming skills in Python. Benefits include a hybrid work model and a flexible schedule, along with healthcare benefits and professional development opportunities.

Qualificações

• 6+ years of experience designing and implementing machine learning algorithms with tabular data.
• 3+ years of experience managing and leading data science teams.
• Strong programming skills in Python with experience writing clean code.
• Experience with data manipulation tools to extract and clean large datasets.

Responsabilidades

• Define technical approaches for complex data science projects.
• Lead critical projects and contribute code to production systems.
• Recruit, onboard, and mentor data scientists.
• Define success metrics for data science initiatives.

Conhecimentos

Machine learning algorithms

Team leadership

Python programming

Data manipulation (Pandas, NumPy)

Analytical and critical thinking

Formação académica

M.Sc in Computer Science, Mathematics, Statistics

Ferramentas

Airflow

CircleCI

PySpark

Docker

Kubernetes

Descrição da oferta de emprego

Riskified is looking for a Data Science Team Leader to lead and mentor a team of data scientists in Lisboa, Portugal. This role involves defining technical approaches for complex data projects and ensuring high-impact machine learning solutions for fraud detection and risk assessment. Candidates should have 6+ years of experience in designing machine learning algorithms, with strong programming skills in Python. Benefits include a hybrid work model and a flexible schedule, along with healthcare benefits and professional development opportunities.