Data Scientist
7 days ago
As a Data Scientist for the Oil and Gas Industry, you will drive advanced analytics initiatives, leveraging data-driven insights to optimize various business processes, improve operational efficiency, and solve complex challenges. Your role will involve building predictive models, deploying machine learning algorithms, and leading a team to address key challenges across a wide range of industries.
Technical Responsibilities:
Data Strategy and Management:
- Define and implement data strategies to support business objectives across various domains.
- Oversee data collection, cleaning, and integration from diverse sources (e.g., sensors, transactional data, logs).
- Ensure data accuracy, consistency, and security while adhering to relevant compliance standards.
Model Development and Deployment:
- Design and implement advanced machine learning models (e.g., predictive maintenance, process optimization).
- Develop algorithms for data interpretation, trend analysis, and forecasting.
- Optimize workflows using natural language processing (NLP) for unstructured data, such as reports and logs.
Advanced Analytics:
- Conduct exploratory data analysis (EDA) to identify trends, anomalies, and optimization opportunities.
- Utilize geospatial analysis and statistical techniques to interpret complex datasets.
- Implement real-time data analytics for operational monitoring and performance enhancement.
Technology Leadership:
- Lead the adoption of cloud-based data platforms (e.g., Azure, AWS, Google Cloud) for scalable computation.
- Stay updated on emerging technologies, such as edge computing, digital twins, and advanced AI techniques.
- Drive automation of repetitive tasks using advanced scripting and machine learning pipelines.
Team Collaboration and Leadership:
- Mentor junior data scientists and engineers, fostering a culture of innovation and excellence.
- Collaborate with cross-functional teams to translate business challenges into data science solutions.
- Communicate technical findings to non-technical stakeholders through visualizations and reports.
Optimization and Decision Support:
- Develop optimization models for operational efficiency, cost reduction, and resource allocation.
- Enhance accuracy and reduce downtime through predictive analytics for maintenance and troubleshooting.
- Implement risk assessment models to improve safety, security, and compliance standards.
Tool and Technology Expertise:
- Expertise in Python, R, MATLAB, and SQL for statistical modeling and data analysis.
- Proficient in machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn) and big data tools (e.g., Hadoop, Spark).
- Hands-on experience with visualization tools like Power BI, Tableau, or D3.js.
- Familiarity with domain-specific software and tools for industry-specific data analysis.
Qualifications:
- Advanced degree (Master's or PhD) in Data Science, Computer Science, Engineering, Statistics, or a related field.
- 7+ years of experience in data science, with at least 3 years in the Oil and Gas Industry.
- Strong understanding of data systems, operational workflows, and industry-specific challenges.
- Proven success in leading data-driven projects and initiatives.
Key Skills:
- Deep knowledge of machine learning, statistical modeling, and advanced analytics techniques.
- Strong programming and data engineering skills.
- Understanding of the full data lifecycle, from collection and cleaning to modeling and visualization.
- Excellent problem-solving, communication, and leadership abilities.
- Proven track record of innovation in data science applications.
Mandatory Requirements:
- Proven experience in the Oil and Gas industry.
- Presence onsite is required for the role. Candidates based in the UAE or looking to relocate to the UAE will be considered.
- Not Applicable
- Full-time
- Information Technology
- Oil and Gas
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