Data Scientist – Career Maker Consultant BPC

[Consulting]
Manama, Bahrain
September 25, 2025
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Job Description

Job Overview:

We are seeking a highly skilled Data Scientist with expertise in leveraging field data to develop predictive and prescriptive asset fault signatures. The ideal candidate should possess a deep understanding of statistical modeling, machine learning, and the domain knowledge required to assess the performance and failure modes of mechanical systems such as compressors. You will be responsible for analyzing data, building models, and applying advanced analytics to optimize performance, minimize failures, and enhance decision-making.

Key Responsibilities:

  • Analyze and utilize field data to develop predictive and prescriptive asset fault signatures.
  • Understand the working principles of industrial equipment, particularly compressors, and identify failure modes, root causes, and control system dynamics.
  • Apply advanced statistics and machine learning models to solve business problems and drive data-driven decision-making.
  • Conduct statistical modeling (predictive, regression, classification, hypotheses testing, multivariate analysis, time series, clustering, forecasting, ARIMA) using Python or similar tools.
  • Implement machine learning models to identify patterns in large datasets and predict equipment performance and potential failures.
  • Perform data mining, data preprocessing, feature engineering, and develop advanced analytics and deep learning models.
  • Use data visualization techniques to communicate insights and model results to stakeholders effectively.
  • Design and conduct experiments to validate models and hypotheses, ensuring their practical application in real-world scenarios.
  • Collaborate with cross-functional teams to extract, clean, and analyze relevant data from various databases (SQL, NoSQL, etc.).
  • Leverage big data technologies (e.g., Hadoop, Spark) to process and analyze large datasets efficiently.
  • Utilize Seeq Workbench, Organizer, and Datalab for data analysis, visualization, and reporting.

Required Skills & Qualifications:

  • Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field.
  • 5-7 years of hands-on experience in data analysis, machine learning, and statistical modeling.
  • Proficiency in programming languages such as Python and R.
  • Expertise in machine learning algorithms, natural language processing, and deep learning.
  • Solid understanding of statistical techniques such as regression analysis, clustering, forecasting, and ARIMA models.
  • Experience with big data technologies (e.g., Hadoop, Spark) and database management (SQL, NoSQL).
  • Strong analytical skills and ability to identify and extract meaningful insights from complex datasets.
  • Familiarity with data visualization tools and techniques.
  • Hands-on experience with Seeq Workbench, Organizer, and Datalab for advanced data analysis.
  • Ability to work independently and as part of a cross-functional team.
  • Strong communication skills to effectively explain technical concepts to non-technical stakeholders.

Preferred Qualifications:

  • Experience in working with industrial data, specifically related to equipment such as compressors.
  • Knowledge of asset management and fault diagnosis techniques.
  • Previous experience in a similar role within industries like manufacturing, oil and gas, energy, or utilities.

 

 

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