Data Scientist (NAWAH)

ENEC Operations; United Arab Emirates; On-site; AED 150,000 - 220,000; Full time

Job summary

A leading company in the UAE seeks a Mid-Senior Data Scientist to develop and implement advanced machine learning models. The role involves working with large datasets using tools like Databricks and Azure Fabric, and requires strong analytical and communication skills. The ideal candidate possesses a bachelor's or master's degree with 5-7 years of experience, including proficiency in Python and R.

Qualifications

• 5-7 years experience in data science focused on machine learning.
• Proficient in programming languages: Python, R, SQL.
• Knowledgeable in big data technologies like Hadoop and Spark.

Responsibilities

• Develop, implement, and optimize machine learning models and algorithms.
• Collaborate with teams to understand business requirements.
• Communicate findings through reports and visualizations.

Skills

Machine learning

Data analysis

Model tuning

Problem-solving

Communication

Teamwork

Education

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field

Tools

Databricks

Azure Fabric

Python

R

SQL

Hadoop

Spark

SAC

Power BI

Job description

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.

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