Data Science Lead
Core
Design, develop, and maintain data pipelines and infrastructure for a data lake to enable analytics and data-driven decision-making.
Role type
Data Science Lead (Data Engineering & Analytics)
Builds
Data lake infrastructure, data models, data catalogues, and advanced analytics models
Domain
Energy (Puma Energy), Retail, B2B
Deliverable
production ML models | infrastructure | dashboards & analysis
Required skills
Data pipeline design, data modelling, machine learning, statistical modelling, big data platforms (Hadoop, Spark), ETL tools (SSIS, Xceptor, Alteryx), cloud platforms (AWS, Google Cloud, Azure), data visualization (Tableau), Python, R
Preferred skills
Multi-domain OTC process knowledge, Spanish, French
Technologies
R, Python, Tableau, Hadoop, Spark, AWS, Google Cloud, Azure, SSIS, Xceptor, Alteryx
Responsibilities
Design and maintain efficient data pipelines feeding into the data lake; define and design the data catalogue for efficient data discovery; design, develop, and implement advanced analytics models and ML algorithms; identify high-impact opportunities for leveraging data to drive business solutions; champion data-driven decision-making by communicating results to stakeholders.
Seniority
Senior, hands-on IC with leadership responsibilities
