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Associate Data / Decision Scientist (UAEN)

Masdar (Abu Dhabi Future Energy Company)
Abu Dhabi, UAE
Contract
Entry
2 weeks ago
PythonSQLPandasNumPyPower BITableau
Free

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Job Description

  • To support the development of analytics, AI, and data products while building foundational capabilities, as part of Masdar's national talent development within the AI Products & Analytics Technology CoE.

Key Accountabilities

  • Perform data preparation, cleaning, and analysis.
  • Support the development of analytical models and data pipelines across key use cases.
  • Assist in implementing machine learning, statistical, and optimization models under guidance from senior team members.
  • Perform data cleaning, preprocessing, and exploratory data analysis (EDA).
  • Translate analytical outputs into clear insights, visualizations, and reports.
  • Support the delivery of data driven recommendations to inform operational and strategic decisions.
  • Contribute to dashboards and tools that enhance visibility into performance and forecasts.
  • Develop dashboards and reports on the CoE's BI platforms.
  • Support AI model development, testing, and documentation.
  • Work closely with the Senior Decision Scientist to build and refine models, validate results and ensure quality outputs, and understand business context and decision frameworks.
  • Participate in code reviews, model reviews, and knowledge sharing sessions.
  • Ensure high standards of data integrity, quality checks, and documentation.

Preferred Qualifications

  • Bachelor's degree in Computer Science, Data Science, Engineering, or a related field; UAE National (National Talent programme).
  • Strong foundation in statistics, linear algebra, and data analysis.

Preferred Experience

  • 1 3 years of experience in data science, analytics, or related fields (internships included).
  • Job Exposure to energy, utilities, or financial analytics is advantageous but not mandatory.
  • Demonstrated experience working on data driven projects (academic or professional).

Technical Skills

  • Proficiency in Python, SQL, or similar programming languages.
  • Familiarity with data analysis libraries (e.g., Pandas, NumPy).
  • Visualization tools (e.g., Power BI, Tableau, Matplotlib).
  • Basic machine learning concepts and frameworks.
  • Understanding of data pipelines and data wrangling techniques.
  • Exposure to cloud platforms or big data tools is a plus.

Behavioral Competencies

  • Strong analytical thinking and problem solving skills.
  • Curiosity and eagerness to learn and grow in a fast paced environment.
  • Ability to take direction, absorb feedback, and continuously improve.
  • Good communication skills with the ability to explain findings clearly.
  • Collaborative mindset and strong attention to detail.

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