Data Scientist

Ziphire.hr; United Arab Emirates; On-site; AED 120,000 - 180,000; Full time

Job summary

A leading data solutions firm in the United Arab Emirates is seeking a highly skilled Data Scientist to analyze complex data sets, develop predictive models, and provide actionable insights. This role involves collaborating with cross-functional teams and leveraging data-driven strategies for product enhancement. Qualified candidates should hold a degree in Data Science or a related field with at least 3 years of experience, strong programming skills in Python or R, and proficiency in machine learning algorithms. A competitive salary and opportunities for professional development are offered.

Benefits

Competitive salary and benefits package

Opportunities for professional development

Culture of innovation and creativity

Qualifications

• 3+ years of experience in data analysis or data science roles.
• Proficiency in programming languages such as Python or R for data manipulation and analysis.
• Strong knowledge of machine learning algorithms and frameworks.

Responsibilities

• Gather and manage data from various sources, ensuring its accuracy.
• Clean and preprocess raw data to prepare it for analysis.
• Conduct exploratory data analysis to identify trends and patterns.
• Design and validate machine learning models to solve business problems.

Skills

Python

Data analysis

Machine learning

SQL

Data visualization

R

Education

Bachelor’s or Master’s degree in Data Science or related field

Tools

Tableau

Power BI

TensorFlow

scikit-learn

Hadoop

Spark

Job description

Overview

We are seeking a highly skilled and motivated Data Scientist to join our innovative team. In this role, you will be responsible for analyzing complex data sets, developing predictive models, and providing actionable insights that drive business decisions. You will collaborate with cross‑functional teams to leverage data‑driven strategies and enhance our products and services.

Key Responsibilities

• Data Collection and Management: Gather data from various sources, ensuring its accuracy, completeness, and relevance for analysis.
• Data Cleaning and Preprocessing: Clean and preprocess raw data to prepare it for analysis, addressing issues such as missing values, outliers, and inconsistencies.
• Exploratory Data Analysis (EDA): Conduct EDA to identify trends, patterns, and relationships within the data using statistical techniques and visualization tools.
• Model Development: Design, implement, and validate machine learning models and algorithms to solve specific business problems and predict future outcomes.
• Performance Evaluation: Monitor and evaluate the performance of models, making necessary adjustments to improve accuracy and effectiveness.
• Data Visualization: Create informative visualizations and dashboards to communicate findings clearly to both technical and non-technical stakeholders.
• Collaboration: Work closely with product managers, engineers, and other stakeholders to align data projects with business objectives and ensure successful implementation of data‑driven solutions.
• Continuous Learning: Stay updated on the latest trends in data science, machine learning, and industry best practices to enhance skills and contribute innovative ideas.

What We Offer

• Competitive salary and benefits package.
• Opportunities for professional development and career advancement within a collaborative work environment.
• A culture that values innovation, creativity, and continuous improvement.

Required Qualifications

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• 3+ years of experience in data analysis or data science roles.
• Proficiency in programming languages such as Python or R for data manipulation and analysis.
• Strong knowledge of machine learning algorithms and frameworks (e.g., TensorFlow, scikit-learn).
• Experience with SQL for database querying and data extraction.
• Familiarity with data visualization tools such as Tableau, Power BI, or Matplotlib.
• Excellent analytical skills with a strong attention to detail.

Preferred Qualifications

• Experience with big data technologies (e.g., Hadoop, Spark) is a plus.
• Strong understanding of statistical methods and their applications in real‑world scenarios.
• Ability to communicate complex findings clearly through reports and presentations.