Deploying our coordinated capability and standards in service of our net zero and safety ambitions
Driving our digital transformation and groundbreaking new business models
Collaborating to deliver competitive customer-focused energy solutions
Originating, scaling and commercialising innovative ideas, and creating ground-breaking new businesses from them
Protecting us by assuring management of our greatest physical and digital risks
Because together we are:
Originators, builders, guardians and disruptors
Engineers, technologists, scientists and entrepreneurs
Conscientious, curious, creative and inclusive
Responsibilities :
Part of a cross-disciplinary team, working closely with other data scientists, data engineers software engineers, data managers and business partners.
Build scalable, re-usable, impactful data science products, usually containing statistical or machine learning algorithms, in collaboration with data engineers and software engineers.
Carry out data analyses to yield actionable business insights.
Enforce to and advocate for data science standard processes (e.g. technical design, technical design review, unit testing, monitoring & alerting, checking in code, code review, documentation).
Present results to peers and senior management.
Actively chip in to improve developer velocity.
Mentor others.!
Qualifications:
Advanced hands-on experience crafting, planning, prototyping, product ionizing, maintaining and detailing reliable and scalable data science products in sophisticated environments.
Applied knowledge as part of a team (if not leading) of data science tools and approaches across all data lifecycle stages.
Detailed 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.
Experience with big data technologies (e.g. Hadoop, Hive, and Spark) is a plus.
Knowledge of experimental design and analysis is a plus.
Customer-centric and pragmatic demeanor. Focus on value delivery and swift execution, while maintaining attention to detail.
Strong customer management and ability to lead large organizations through influence.
Continuous learning and improvement approach.
MSc or PhD degree or equivalent experience in a quantitative field.
No prior experience in the energy industry required.
