BD-765] - Senior Data Analytics Specialist - Relocate to Saudi Arabia
- Argentina
- Permanente
- Tiempo completo
- Drive ideas from conception to production using best-in-class Machine Learning Operations (MLOps) and Development Operations (DevOps) practices.
- Develop and optimize Machine Learning (ML) models and pipelines, ensuring their efficient deployment, monitoring, and scaling.
- Explore diverse data sources to improve predictive modeling and optimize business strategies.
- Assess Artificial Intelligence (AI) tools and methods for data analysis, enhancing business impact and decision-making.
- Implement predictive modeling techniques to optimize production facilities, revenue streams, and operational efficiencies.
- Generate documentation in line with established standards to support the development and deployment process.
- Collaborate with cross-functional teams, including IT, engineering, and business stakeholders, to drive data-driven solutions.
- Contribute to technical task forces investigating incidents and solving domain-specific problems using AI/ML techniques.
- Publish research papers for peer‑reviewed journals and presents findings to other organizations and conferences to advance industry knowledge.
- Foster a learning environment through knowledge-sharing, and promote a culture of continuous learning and innovation.
- Provide leadership and mentorship to junior team members and specialists.QualificationsAs a successful candidate you will hold a:- Bachelor’s degree in Data Science, Computer Science, Engineering, or a related field. An advanced degree (Master’s or PhD) focused on Data Science, AI, or ML Engineering with a background in Engineering is highly preferred.
- 20 years of overall experience, with hands-on experience in Data Science, Natural Language Processing (NLP), Computer Vision, and/or ML projects in the industry.
- Expertise in MLOps, DevOps, AIOps, DataOps and related operational frameworks for model deployment, monitoring, and automation.
- Experience in data collection, cleaning, preprocessing, and wrangling for industry-related problems based on domain knowledge.
- Proficiency in platforms such as Python, R, SQL, SAS, Scala, and cloud platforms such as Azure and Google Cloud (Vertex AI).
- Expertise in visualization tools and packages; UI experience with Power BI or similar tools.
- Experience with IT architecture and deploying models in on-prem environments.
- Strong understanding of CI/CD pipelines, containerization (Docker, Kubernetes), and automation frameworks.
- Demonstrated ability to publish research or contribute to industry knowledge through journal papers, conference proceedings, or whitepapers.Working environmentOur high-performing employees are drawn by the challenging and rewarding professional, technical and industrial opportunities we offer, and are remunerated accordingly. At Aramco, our people work on world-scale projects, supported by investment in capital and technology. We invest heavily in talent development and have a long history of educating and training our workforce, with programs that encourage continuous learning and knowledge sharing.Details- Seniority level: Mid-Senior level
- Employment type: Full-time
- Job function: Engineering and Information Technology
- Industries: Oil and Gas and IT Services and IT Consulting#J-18808-Ljbffr
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