Senior Data Scientist

Requirements:

Key Skills and Abilities:

Deep understanding and experience with advanced statistics, time series forecasting, machine-learning models, best practice application of data science in a business context (e.g., back-testing & piloting), model architecture, and use cases

Experience in data management, e.g., wrangling, extraction, normalization

Ability to build industrialized data pipelines

Proficiency in SQL and Python (preferred) / R / Scala. Knowledge of big data framework like Spark is an asset

Ability to navigate, collaborate and deliver production-grade code in a complex industrialized code base

Experience with standard SDLC process and DevOps including version-control (GitHub/SVN) and CI/CD

Experience using business intelligence tools like Power BI / Tableau

Experience in Azure and Databricks are a plus

Understanding of design and architecture principles is a plus

Good communication and presentation skills: ability to synthesize, simplify, and explain complex problems to different audiences across functions and levels; ability to convey insight through storytelling