Senior Data Scientist
Core
Design, build, and operate scalable data platforms for a global payments and financial-services leader's marketing services products, enabling campaign measurement, customer insights, reporting, and AI/ML initiatives.
Role type
Senior IC data scientist (ML engineering)
Builds
Scalable data platforms, ML pipelines, and analytics solutions for enterprise-scale marketing services
Domain
Fintech / Financial Services / Marketing Analytics
Deliverable
production ML models
Required skills
Python, SQL, Supervised Learning, Unsupervised Learning, Reinforcement Learning/Optimization, Statistical Theory, Data Manipulation, EDA, Hypothesis Testing, Gradient Boosting
Preferred skills
FastAPI, Docker, Azure, MLOps (MLflow), PyTorch, Git, UV
Technologies
pandas, polars, scikit-learn, xgboost, lightgbm, catboost, pytorch, FastAPI, Docker, Azure, MLflow, Git, UV
Responsibilities
Define business problems and translate them into data science solutions; Collect, clean, and analyze large datasets; Develop and optimize machine learning and statistical models; Build robust Supervised/Unsupervised ML pipelines; Maintain and improve existing ML solutions; Analyze messy data from various data sources; Communicate analytical findings and recommendations to stakeholders.
Seniority
Senior, hands-on IC
