Posting Date: 19 Mar 2025
Requisition ID: 2625
Company: NAWAH
Location: HQ - Abu Dhabi
Posting Status: Active Recruitment
Job Purpose
We are seeking a highly skilled and motivated Mid-Senior Data Scientist with a strong background in machine learning algorithms, model tuning, and data analysis. The ideal candidate will have hands-on experience with data Lakehouses such as Databricks and Azure Fabric, and will be responsible for developing and implementing advanced data models to solve complex business problems.
Key Activities, Responsibility & Accountability

Develop and Implement Models:

• Develop, implement, and optimize machine learning models and algorithms.
• Perform data analysis and model tuning to improve accuracy and performance.

Data Management:

• Work with large datasets and data Lakehouses, including Databricks and Azure Fabric.

Collaboration:

• Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions.

Communication:

• Communicate findings and insights to stakeholders through reports, presentations, and visualizations.

Continuous Learning:

• Stay up-to-date with the latest advancements in data science and machine learning.

Responsibilities & Accountabilities (contd.)
Professional Certifications
Qualifications
Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field.

Experience

• 5-7 years of experience in data science, with a focus on machine learning and model tuning.
• Proficiency in programming languages such as Python, R, or SQL.
• Experience with data Lakehouses, particularly Databricks and/or Azure Fabric.
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.
• Ability to work independently and manage multiple projects simultaneously.

Preferred Qualifications:

• Experience with big data technologies such as Hadoop or Spark.
• Knowledge of cloud platforms like Azure.
• Familiarity with data visualization tools such as SAC, or Power BI

Please refer the Job description for details