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Masdar

Data Scientist

Masdar is hiring a Data Scientist in Abu Dhabi, United Arab Emirates. Level rates it ; you can apply on Masdar.

Level's read on this job

  • Level rates this data scientist role Builds AI ●●●●: the job is building AI systems.
  • The posting mentions Python, SQL and BI Platforms among its tools and skills.
  • Level classes it as a junior role.
  • Masdar has 40 other open roles on Level.

AI in this role

Support the development of AI and machine learning models, data pipelines, and analytics as part of the AI Products & Analytics team.

PythonSQLBI Platforms
data-sciencemachine-learningdata-preprocessingexploratory-data-analysis

Established in 2006, Masdar (Abu Dhabi Future Energy Company) is a global clean energy leader, transforming how the world produces and consumes energy through bold innovation and commercial excellence.

Masdar is a clean energy investor, developer and operator, advancing renewable energy projects across key markets and technologies, with a global project portfolio capacity to date of over 65 gigawatts (GW).

Jointly owned by TAQA, ADNOC and Mubadala, Masdar is driving the scale-up of renewables worldwide, targeting a portfolio capacity of 100GW by 2030.

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
  • Work with structured and unstructured datasets from multiple sources
  • Support the maintenance of reproducible and well-documented codebases
  • Build foundational skills in data science, AI, and platform tools through structured development.
  • Apply best practices in coding, modeling, and analytics inspired by industry-leading organizations
  • Engage with stakeholders across operations, digital, and strategy teams to understand data needs
  • Support the translation of business questions into analytical tasks
  • Communicate findings in a clear and structured manner appropriate for different audiences

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

Role is to be based in Abu Dhabi, UAE.

As part of the application process, we will collect, store and process personal information about you.

Masdar will use your personal information in accordance with our Candidate Privacy Notice, which provides details on the purposes for which your data is processed.

How we rate this

Data Scientist at Masdar rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data ScienceMachine learningData PreprocessingExploratory Data AnalysisPythonSQLBI Platforms

Also common in data scientist jobs at this level

Pay

Typical data scientist job
$167k

This posting doesn't list pay. Use the typical data scientist figure when pay comes up. See data scientist jobs

Questions you could be asked

  1. Tell me about a project where data science was part of your work. What did you do?
  2. Tell me about a project where machine learning was part of your work. What did you do?
  3. Tell me about a project where data preprocessing was part of your work. What did you do?
  4. Tell me about a project where exploratory data analysis was part of your work. What did you do?
  5. Walk me through how you've used Python in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Data Science, Machine learning, Data Preprocessing, Exploratory Data Analysis, and Python. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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