Data Scientist

You will be combining your expertise in mathematics, statistics, computer science, and domain knowledge to create AIML models that can effectively address various business challenges. Your role will involve collaborating closely with the AI Technical Manager, GCC Petro technical professionals, and data engineers to integrate these models into the business framework. You will be responsible for identifying and framing opportunities to apply advanced analytics modeling and related technologies to data, thereby helping businesses gain insight, improve decision-making, workflow, and automation. In this position, you will need to understand and communicate the value of proposed opportunities with team members and other stakeholders. Identifying the necessary data and appropriate technology to solve the identified business challenges will be a crucial aspect of your responsibilities. You will also be involved in cleaning data, developing, and testing models, as well as establishing the life cycle management process for these models. Additionally, you will provide technical mentoring in modeling and analytics technologies, the specifics of the modeling process, and general consulting skills. Driving innovation in AIML to enhance capabilities in data-driven decision-making will be a key focus area. You are expected to align with the team on shared goals and outcomes, recognize others" contributions, work collaboratively, seek diverse perspectives, and take actions to develop yourself and others beyond existing skill sets. Furthermore, you should encourage innovative ideas, adapt to change and changing technologies, and effectively understand and communicate data insights and model behaviors to stakeholders with varying levels of technical expertise. **Required Qualifications:** - Minimum 5 years of experience in designing and developing AIML models and/or various optimization algorithms (5 to 9 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 AIML services; Azure Machine Learning and Databricks preferred - Domain knowledge relevant to the energy sector and working knowledge of the 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 the 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 the immediate workgroup at various organizational levels across functional and geographic boundaries to achieve desired outcomes - Demonstrated ability to adjust behavior based on feedback and provide feedback to others - Team-oriented mindset with effective communication skills and the ability to work collaboratively - Strong problem-solving skills and attention to detail - Excellent communication and collaboration skills,