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Data Scientist

NMDC Group

Abu Dhabi Emirate

On-site

AED 60,000 - 100,000

Full time

3 days ago
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Job summary

An established industry player is seeking a skilled data scientist to leverage advanced analytics and machine learning techniques to enhance project performance and decision-making. In this dynamic role, you will analyze complex datasets, develop predictive models, and implement innovative solutions to optimize dredging processes. Your expertise in statistical programming and data visualization will be crucial in providing actionable insights and improving business outcomes. Join a forward-thinking team where your contributions will directly impact the success of exciting projects in the field.

Qualifications

  • 3+ years of experience in data science and analytics.
  • Proficiency in statistical programming languages for data manipulation.
  • Strong communication skills and adaptability.

Responsibilities

  • Analyze data from dredging projects to optimize processes.
  • Implement machine learning models for project performance.
  • Develop innovative solutions to business challenges.

Skills

Statistical Analysis
Problem-Solving
Statistical Programming (R, Python, SQL)
Data Visualization
Machine Learning
Data Mining

Education

Bachelor’s Degree in Computer Science
Microsoft Certified Solutions Developer (MCSD)

Tools

Azure
Azure Databricks
PowerBI
Docker
Azure DevOps

Job description

Direct message the job poster from NMDC Group

Job Purpose

  • Focus on strong statistical analysis, problem-solving skills, and statistical programming knowledge to rapidly develop hypotheses during the discovery phase of company tenders and projects.
  • Implement the approved corporate Artificial Intelligence and Analytics strategy to develop actionable insights that continuously optimize business decisions.
  • Provide accurate cost calculations for tenders and projects.
  • Enhance production and reduce costs for projects in execution.
  • Implement models by transforming and optimizing for project performance.

Principal Accountabilities

Key Accountabilities :

  • Analyze all NMDC Group data generated during dredging projects using databases, programming, and visual dashboards.
  • Collect, store, verify data accuracy, perform analyses, ensure statistical quality, and generate management reports.
  • Deploy advanced analytics use cases into production.
  • Support the development of analytics standards and protocols for scalability and support for self-service analytics.
  • Stay updated on latest data science approaches and leverage relevant practices within the Data and Analytics function.
  • Implement standards and protocols as per project requirements.

Responsibilities and duties

  • Apply advanced statistical and predictive modeling techniques to build and improve decision systems, design experiments, and test hypotheses.
  • Identify relevant data sources, including internal and external data, geo-location data, unstructured data (emails, logs, social media).
  • Mine and analyze data to optimize dredging processes, project development, and budget estimation.
  • Develop innovative approaches to solve business problems and communicate results effectively.
  • Use existing database patterns for predictive analysis.
  • Monitor performance of decision systems and models continuously.
  • Recommend and implement improvements to methods and algorithms.
  • Establish an ecosystem for analytics adoption within the organization.
  • Serve as the company's AI and Machine Learning expert to address dredging project challenges.

Professional Skill Requirements

  • Experience in designing and prototyping ML pipelines, from data extraction to model deployment and retraining.
  • Experience conducting impactful data investigations and analyses to identify patterns and root causes.
  • Ability to validate findings, test hypotheses, and interpret experiments.
  • Proficiency in managing dredging data within databases and ensuring data quality.
  • Experience in developing machine learning algorithms to meet project goals.

Experience

  • Proficiency in statistical languages (R, Python, SQL) for data manipulation and insights.
  • Experience with data architectures and various ML techniques (clustering, decision trees, neural networks).
  • Knowledge of statistical techniques (regression, distributions, tests).
  • Hands-on experience with data mining techniques like GLM, Random Forest, text mining, social network analysis.

Educational Qualifications & Certifications

  • Bachelor’s Degree in Computer Science, IT, or related field.
  • Microsoft Certified Solutions Developer (MCSD) is advantageous.
  • Minimum 3 years of relevant industry experience.
  • Skills in data visualization, analytical thinking, and organization.
  • Strong communication skills, adaptability, eagerness to learn.

HSE Behavioural Skills

  • Adhere to NMDC HSE policies and procedures.
  • Fluent in English (spoken and written).

IT Skills

  • Proficiency in scripting languages (SQL, Python, Spark), rapid prototyping, and cloud platforms (Azure, Azure Databricks, Azure ML).
  • Experience with developer tools (Azure DevOps, Docker, Visual Studio).
  • Knowledge of data visualization tools like PowerBI.
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