Lead Data Scientist

Role & responsibilities

Minimum 5 years of experience in designing and developing AI/ML models and/or various optimization algorithms. 10- 15 years of experience

Solid foundation in mathematics, probability, and statistics with demonstrated depth of knowledge and experience in advanced analytics and data science methodologies (e.g. supervised and unsupervised learning, statistics, data science model development)

Proficiency in Python and working knowledge of cloud AI/ML services (Azure Machine Learning and Databricks preferred)

Domain knowledge relevant to the energy sector and working knowledge of Oil and Gas value chain (e.g., upstream, midstream, or downstream) and associated business workflows.

Proven ability to frame data science opportunities, leverage standard foundational tools and Azure services to perform exploratory data analysis (for purposes of data cleaning and discovery), visualize data, and identify actions to reach needed results.

Ability to quickly assess current state and apply technical concepts across cross-functional business workflows.

Experience with driving successful execution, deliverables, and accountabilities to meet quality and schedule goals.

Ability to translate complex data into actionable insights that drive business value.

Demonstrated ability to engage and establish collaborative relationships both inside and outside immediate workgroup at various organizational levels, across functional and geographic boundaries to achieve desired outcomes.

Demonstrated ability to adjust behaviour based on feedback and provide feedback to others.

Team-oriented mindset with effective communication skills and the ability to work collaboratively