Junior Data Scientist

Why Hiring; United Arab Emirates; Remote; AED 120,000 - 180,000; Full time

Job summary

Why Hiring is seeking a data scientist to extract insights from large datasets and support AI/ML initiatives. The role emphasizes collaboration with analysts, engineers, and mission partners to deliver data-driven solutions.

Ideal candidates have a strong foundation in statistics, Python/SQL, and data visualization, with 0–2 years of relevant experience. The position offers remote work and opportunities to influence intelligence workflows.

Qualifications

• Bachelor’s degree in Data Science or related quantitative field.
• Proficiency in Python and SQL; experience with data visualization.
• Foundational knowledge of AI/ML concepts.
• Experience with relational and NoSQL databases.
• Familiarity with cloud-based big data technologies.

Responsibilities

• Perform statistical analysis and data exploration to extract meaningful insights from complex datasets.
• Support development and validation of predictive models to identify trends and patterns.
• Contribute to the development of AI/ML models and data-driven solutions.
• Conduct exploratory data analysis to support decision-making and operational planning.
• Assist in building and maintaining data pipelines for data collection, processing, and integration.
• Collaborate with data scientists, engineers, and cross-functional teams to improve data workflows.
• Develop scripts and tools to automate repetitive tasks and improve efficiency.
• Support initiatives to enhance data quality, structure, and accessibility.
• Apply basic experimental and analytical approaches to test ideas and evaluate outcomes.
• Contribute to improving data systems, workflows, and analytical capabilities.
• Assist in identifying data gaps, inconsistencies, and opportunities for optimization.
• Participate in team meetings, project discussions, and knowledge-sharing sessions

Skills

Python

SQL

Power BI

Tableau

Statistics

AI/ML basics

Databases (relational/NoSQL)

Cloud platforms

Communication

Data workflow automation

Education

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

Tools

Power BI

Tableau

Python

R

SQL

NoSQL databases

Cloud platforms

Job description

At Why Hiring, we believe in the power of connecting talented individuals with incredible remote job opportunities. Our mission is to simplify the job search process and empower professionals to find fulfilling roles that align with their skills and passions, regardless of geographical constraints.

About The Role:

This position requires strong quantitative skills, experience with large and complex datasets, and the ability to collaborate with analysts, engineers, and mission partners to develop high-impact solutions that drive intelligence insight and operational advantage.

• Perform statistical analysis and data exploration to extract meaningful insights from complex datasets
• Support the development and validation of predictive models to identify trends and patterns
• Contribute to the development of AI/ML models and data-driven solutions
• Conduct exploratory data analysis to support decision-making and operational planning
• Assist in building and maintaining data pipelines for data collection, processing, and integration
• Collaborate with data scientists, engineers, and cross-functional teams to improve data workflows
• Develop scripts and tools to automate repetitive tasks and improve efficiency
• Support initiatives to enhance data quality, structure, and accessibility
• Apply basic experimental and analytical approaches to test ideas and evaluate outcomes
• Contribute to improving data systems, workflows, and analytical capabilities
• Assist in identifying data gaps, inconsistencies, and opportunities for optimization
• Participate in team meetings, project discussions, and knowledge-sharing sessions

Education

Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.

Required Skills

• Proficiency in Python, R, SQL, or similar programming languages.
• Experience with data visualization platforms such as Power BI or Tableau.
• Strong understanding of statistical techniques and modeling approaches.
• Foundational knowledge of AI/ML concepts and applications.
• Experience working with relational and/or NoSQL databases.
• Familiarity with cloud-based big data technologies.
• Ability to explain complex technical findings to non-technical audiences.
• Understanding of intelligence analysis processes and mission requirements.
• Experience working with structured and unstructured datasets in complex environments.

Experience

Minimum of 0 to 2 years of experience in data science, analytics, machine learning, or related technical fields.

• Why Hiring does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.