Role Overview :

- At least 5 years of experience in designing and developing AI/ML models.
- 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 the Oil & 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 achieve desired results.
- Ability to quickly assess the current state and apply technical concepts across cross-functional business workflows.
- Experience 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 cooperative 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.

Roles & Responsibilities:





- Combine expertise in mathematics, statistics, computer science, and domain knowledge to create AI/ML models that solve various Chevron business challenges.
- Collaborate closely with the AI Technical Manager, 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 insights and improve decision-making, workflows, and automation.
- Understand and communicate the value of proposed opportunities with team members and other stakeholders.
- Identify the required 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 modeling and analytics technologies, the specifics of the modeling process, and general consulting skills.
- Drive innovation in AI/ML to enhance Chevron's capabilities in data-driven decision-making.
- Align with the team on shared goals and outcomes, recognize others' contributions, work collaboratively, and seek diverse perspectives.
- Take actions to develop yourself and others beyond existing skill sets.
- Encourage innovative ideas and adapt to change and evolving technologies.
- Understand and communicate data, insights, and model behaviors to stakeholders with varying levels of technical expertise.

Interview Process :

- 1st round - Geektrust Interview (Assemble)
- 2nd round - Veraxion Tech Interview
- 3rd round - Fitment round
- 4th round - Client (with Chevron) round

📌 Data Scientist - Artificial Intelligence/Machine Learning (India)
🏢 Neoaid India
📍 India