Main Missions:

• Collaborate in designing statistical experiments and models to analyze and interpret complex multidisciplinary datasets.
• Implement machine learning and deep learning techniques tailored to our fields of expertise.
• Collect, clean, and organize data from diverse sources, ensuring accuracy and consistency.
• Use R, Python, and other statistical tools for analysis and visualization.
• Support decision-making by providing clear, actionable insights from data.
• Stay updated on advancements in statistical methodologies, particularly those relevant to ecology and conservation.
• Develop and deliver clear, data-driven reports and visualizations for stakeholders.

The Required Profile:Nationality:

• UAE National.

Academic Background:

• A degree in Statistics, Data Science, Biostatistics, or a related field.

Experience:

• 1 year of experience in data analysis.
• Hands-on experience with analyzing ecological or biological datasets is highly desirable.

Technical Skills:

• Capable of handling, cleaning, and organizing large datasets for statistical analysis.
• Knowledge of experimental design, hypothesis testing, and reporting results in a scientific context.
• Strong expertise in R and Python for statistical modelling, machine and deep learning, and data visualization.
• Hands-on experience with analyzing ecological or biological datasets is highly desirable.
• Capable of handling, cleaning, and organizing large datasets for statistical analysis.
• Knowledge of experimental design, hypothesis testing, and reporting results in a scientific context.

Soft Skills:

• Excellent problem-solving skills with attention to details and accuracy.
• Strong organizational and time management skills, with the ability to work both independently and collaboratively.
• Strong Communication skills, capable of explaining complex ideas clearly and effectively.
• Collaborative team player with a positive attitude and commitment to creating a supportive work environment.
• Quick learner, adaptable to emerging tools and methodologies in data science and conservation technology.

IT & Software skills:

• Programming Languages: Proficiency in R and Python.
• Familiarity with SQL and Power BI is an advantage.

Total Backage:

• 19.000 AED.

Work Location:

• Al Rem Island, Abu Dhabi.

Working days and timing:

• Monday to Friday.
• 9 hours per day (8 working hours , 1 hour lunch break).

Sundus Recruitment Services