About the position:

Chevron invites applications for the role of Lead Data Scientist in India. This position is integral to designing and developing AI/ML models that significantly accelerate the delivery of business value. The successful candidate will be working with business stakeholders to prototype and deliver innovative data science applications that add value to Chevron’s business. This position will provide broad exposure to the application of technology to enable business with many opportunities for growth and professional development for the candidate.

Key Responsibilities:

• Combine expertise in mathematics, statistics, computer science, and domain knowledge to create AI/ML models to solve various Chevron business challenges
• Collaborate closely with the AI Technical Manager and GCC Petro-technical professionals and data engineers to integrate models into the business framework.
• Identify and frame opportunities to apply advanced analytics, modeling, and related technologies to data to help Chevron businesses gain insight and improve decision making, workflow, and automation.
• Understand and communicate the value of proposed opportunity with team members and other stakeholders.
• Identify needed data and appropriate technology to solve identified business challenges.
• Clean data and develop and test models.
• Establish the life cycle management process for models.
• Provide technical mentoring in modelling and analytics technologies, the specifics of the modelling process, and general consulting skills.
• Drive innovation in AI/ML to enhance Chevron's capabilities in data-driven decision-making.
• Aligns with team on shared goals and outcomes, recognizes others’ contributions, and work collaboratively & seek diverse perspectives.
• Takes actions to develop self and others beyond existing skillset.
• Encourages innovative ideas, adapts to change and changing technologies
• Understand and communicate data, insights, and model behaviours to stakeholders with varying levels of technical expertise.

Required Qualifications:

• 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.

Chevron ENGINE supports global operations, supporting business requirements across the world. Accordingly, the work hours for employees will be aligned to support business requirements. The standard work week will be Monday to Friday. Working hours are 8:00am to 5:00pm or 1.30pm to 10.30pm.

Chevron participates in E-Verify in certain locations as required by law.

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