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1Chevron is accepting online applications for the position Data Scientist Data & Insights - Responsible AI through September 4 2025 at 11:59 p.m. (Central Time).
A data scientist in Responsible AI team will be dedicated to reviewing and consulting with the business and IT development teams to help ensure that AI systems are fair transparent accountable and aligned with ethical this role you will work at the intersection of AI ML ethics and policy to develop and implement tools frameworks and methodologies that assess and mitigate risks associated with AI usage at Chevron. You will collaborate closely with our Cyber Legal and Data Privacy teams to ensure that AI solutions vendors and internal consumers adhere to Chevron guidelines and policies.
Responsibilities for this position may include but are not limited to:
Apply frameworks to assess fairness transparency and accountability in AI systems vendors and use cases.
Collaborate with Cybersecurity Legal and Data Privacy to develop and maintain Chevrons AI governance policies and controls.
Conduct ethical risk assessments and impact analyses for AI use cases including alignment with regulations such as the EU AI Act.
Influence the development and adoption of tools and methodologies to detect and mitigate bias drift and unintended consequences in machine learning models.
Assist in AI Discovery and maintain an inventory of AI models across the enterprise and ensure proper documentation and lifecycle governance.
Lead training and awareness campaigns to promote ethical AI practices across business units.
Contribute to the design and enforcement of governance metrics and assurance processes for AI systems.
Define and report key AI Governance KPIs to senior leaders in the data organization
Partner with cross-functional teams to integrate Responsible AI principles into product development and deployment workflows.
Required Qualifications:
Preferred Qualifications:
Masters degree in Data Science or Cybersecurity
Certifications in Responsible AI Data/AI Ethics Cybersecurity or AI Governance.
Experience developing and evaluating machine learning models using Python and libraries such as scikit-learn TensorFlow or PyTorch.
Experience with generative AI or agentic AI frameworks tools or applications.
Knowledge of fairness interpretability and robustness techniques in AI.
Experience with enterprise AI platforms (e.g. Azure ML Databricks DataRobot).
Proven ability to work autonomously in ambiguous environments and make connections between disparate data sources.
Relocation Options:
Relocation may be considered.
International Considerations:
Expatriate assignments will not be considered.
Chevron regrets that it is unable to sponsor employment Visas or consider individuals on time-limited Visa status for this position.
U.S. Regulatory notice:
Chevron is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race color religious creed sex (including pregnancy) sexual orientation gender identity gender expression national origin or ancestry age mental or physical disability medical condition reproductive health decision-making military or veteran status political preference marital status citizenship genetic information or other characteristics protected by applicable law.
We are committed to providing reasonable accommodations for qualified individuals with disabilities. If you need assistance or an accommodation please email us at .
Chevron participates in E-Verify in certain locations as required by law.
Full-Time