Data Scientist

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Position Title: scientist" style="border-bottom: 1px dotted #007bff !important;">Data Scientist
Location: Madrid
Country: Spain
Deadline Date:

Job Details

Job Posting Organization:
The organization is a prominent entity within the United Nations system, dedicated to addressing global challenges through data-driven solutions. Established to leverage data science for humanitarian and development purposes, the organization has a mission to enhance decision-making processes and improve outcomes for communities worldwide. With a diverse workforce comprising thousands of employees from various countries, the organization operates in multiple regions, focusing on sustainable development, peacekeeping, and human rights. The organization values innovation, collaboration, and inclusivity, striving to create a positive impact through its initiatives.

Job Overview:
The Data Scientist position is crucial for the organization as it aims to utilize data analytics to inform policy decisions and program implementations. The role involves analyzing complex datasets, developing predictive models, and providing actionable insights to support the organization's mission. The Data Scientist will work closely with cross-functional teams, including statisticians, researchers, and program managers, to identify data needs and translate them into analytical solutions. This position requires a strong understanding of statistical methods, machine learning techniques, and data visualization tools. The Data Scientist will also be responsible for communicating findings to stakeholders and contributing to the development of data-driven strategies that align with the organization's goals.

Duties and Responsibilities:

• Collect, clean, and analyze large datasets from various sources to extract meaningful insights.
• Develop and implement statistical models and machine learning algorithms to solve complex problems.
• Collaborate with interdisciplinary teams to define data requirements and deliver analytical solutions.
• Create data visualizations and reports to effectively communicate findings to stakeholders.
• Stay updated with the latest trends in data science and apply best practices to enhance analytical capabilities.
• Provide technical guidance and support to team members on data-related projects.
• Participate in the development of data governance frameworks and ensure data quality standards are met.
• Contribute to research initiatives and publish findings in relevant forums.

Required Qualifications:

• Proficiency in programming languages such as Python, R, or SQL.
• Strong understanding of statistical analysis and machine learning techniques.
• Experience with data visualization tools like Tableau, Power BI, or similar.
• Familiarity with big data technologies such as Hadoop or Spark is a plus.
• Excellent problem-solving skills and attention to detail.
• Ability to work collaboratively in a team-oriented environment.
• Strong communication skills, both written and verbal, to convey complex information clearly.

Educational Background:
A Master's degree or higher in Data Science, Statistics, Computer Science, Mathematics, or a related field is required. Candidates with a Ph.D. in a relevant discipline will be given preference. Additional certifications in data analytics or machine learning are advantageous.

Experience:
A minimum of 3-5 years of professional experience in data analysis, data science, or a related field is required. Experience working in an international organization or in a multicultural environment is highly desirable. Proven track record of successfully delivering data-driven projects is essential.

Languages:
Fluency in English is mandatory. Proficiency in Spanish or other UN languages is considered an asset and will enhance the candidate's profile.

Additional Notes:
This position is a full-time role with a competitive salary and benefits package. The organization encourages applications from diverse backgrounds and is committed to creating an inclusive environment. The contract duration is initially for one year, with the possibility of extension based on performance and funding availability. The organization supports remote work arrangements where feasible.