Senior Data Scientist - Model Risk Office
Core
Senior Data Scientist in Model Risk Office analyzing data science implementations for methodology gaps, identifying algorithmic risks, and providing guidelines for mitigation.
Role type
Senior IC data scientist (model risk & optimization)
Builds
Reliable algorithmic solutions and guidelines for closing methodology/assumption gaps
Domain
Consumer goods, Retail, Media, Supply Chain, Optimization/Operations Research
Deliverable
production ML models | dashboards & analysis
Required skills
machine learning, optimization/operations research, simulation, predictive modeling, Python, Spark
Preferred skills
GenAI, Big Data ecosystem (Databricks, Spark, BigQuery), Business Intelligence (Power BI, Tableau), Agile DevOps
Technologies
Python, Spark, Databricks, BigQuery, Power BI, Tableau, Jira, Confluence, Github
Responsibilities
Partner with product teams and business leaders to understand problems and ensure reliable algorithmic solutions; Develop insights to guide other data scientists; Review and write production-grade code applying best practices; Analyze data science implementations for methodology and assumption gaps; Identify risk of algorithms under development and provide guidelines for closing them; Further develop understanding of advanced analytical models and resilient algorithmic pipelines.
Seniority
Senior, hands-on IC
