Collaborative experience: Worked closely with data scientists, engineers, and business stakeholders to deliver impactful data solutions.
Cross-functional collaboration: Partnered with diverse teams, including data, engineering, and business professionals, to drive data-driven initiatives.
Can build scalable, re-usable, impactful data science products, usually containing statistical or machine learning algorithms, in collaboration with data engineers and software engineers.
Can carry out data analyses to yield actionable business insights.
Hands-on experience (typically 5+ years) designing, planning, prototyping, productionizing, maintaining and documenting reliable and scalable data science products in complex environments.
Applied knowledge of data science tools and approaches across all data lifecycle stages.
Thorough understanding of underlying mathematical foundations of statistics and machine learning.
Development experience in one or more object-oriented programming languages (e.g. Python, Go, Java, C++)
Advanced SQL knowledge.
Knowledge of experimental design and analysis.
Customer-centric and pragmatic mindset. Focus on value delivery and swift execution, while maintaining attention to detail.
