Maintenance Excellence Engineer

Seeking a versatile Maintenance Excellence Engineer with specialized expertise in data science. Will play a crucial role in managing and extracting insights from critical data related to maintenance, capital projects, and turnarounds. Seeking an innovative individual who can seamlessly blend a strong foundation in maintenance engineering with expertise in data science methodologies and tools. The role will be focusing on data-driven decisions to enhance maintenance processes, resulting in efficiency gains and cost reduction, ultimately contributing to the optimization of equipment reliability. This position offers a unique opportunity to contribute to strategic decision-making and process optimization.

DUTIES / RESPONSIBILITIES

Ø  Maintenance Engineering and Data Science Integration: Lead the integration of data-driven decision-making into maintenance processes for optimizing equipment reliability.

Ø  Manage and extract actionable insights from critical data related to maintenance, capital projects, and turnarounds using maintenance engineering and data science methodologies.

Ø  Data Exploration and Analysis:

·         Conduct data exploration and analysis to uncover meaningful patterns and trends, providing real-time insights for operational decision-making.

Ø  Algorithm Development and Predictive Modeling:

·         Develop and implement advanced algorithms and data models to forecast outcomes, supporting effective planning and resource allocation.

·         Utilize machine learning techniques to continually enhance the accuracy and relevance of predictive models.

Ø  Machine Learning Integration:

·         Lead machine learning integration efforts to improve the quality of data and enhance product offerings.

·         Collaborate with cross-functional teams to implement data-driven solutions, fostering a culture of continuous improvement.

Ø  Communication and Decision-Making:

·         Effectively communicate findings and recommendations to various teams and senior leadership.

·         Play a pivotal role in driving data-driven decision-making across the organization.

Ø  Data Tools Deployment and Optimization:

·         Deploy a variety of data tools, including Python, R, SAS, and SQL, to conduct thorough data analysis.

·         Implement and optimize data tools to streamline processes and enhance efficiency.

Ø  Project Management:

·         Spearhead end-to-end lifecycle management of non-capital and small capital plant projects, driving projects from root cause identification through technical evaluation, design, field execution, and implementation.

Ø  Continuous Learning and Knowledge Sharing:

·         Stay abreast of innovations in the data science field and actively incorporate new methodologies into daily practices.

·         Share knowledge and insights with the team to foster a culture of continuous improvement.

QUALIFICATIONS / REQUIREMENTS

v  Bachelor's, Master's, in a quantitative field (Data Science, Statistics, Computer Science, etc.).

v  Mid to senior-level experience in a data science role, with a track record of successfully delivering impactful projects.

v  Experience in the Oil & Gas industry, with a strong understanding of industry-specific data and challenges.

v  Proficiency in Python, R, SAS, SQL, and other relevant tools.

v  Experience in developing and implementing machine learning models.

v  Strong analytical and problem-solving skills with attention to detail.

v  Proven ability to find insights that drive strategic decision-making.

v  Excellent verbal and written communication skills for effective collaboration and reporting.

v  Ability to convey complex findings to both technical and non-technical stakeholders.

v  Enthusiastic about staying current with innovations in the data science field and integrating new methodologies to improve processes.