Data Scientist - Data Fusion Center

Job Posting Organization:
INTERPOL is the world’s largest international police organization, established in 192

• It has 196 Member Countries and facilitates cross-border police cooperation, supporting organizations and authorities in preventing and combating international crime. INTERPOL is committed to achieving a diverse and inclusive workforce, encouraging applications from individuals with varied backgrounds and experiences. The organization operates globally, with a mission to enhance international police collaboration and improve the effectiveness of law enforcement agencies worldwide.

Job Overview:
The scientist" style="border-bottom: 1px dotted #007bff !important;">Data Scientist position at INTERPOL's Data Fusion Center involves providing advanced analytical support to help users generate actionable insights from large-scale datasets. The role requires translating complex data into graphical, numerical, and narrative formats, and integrating techniques from various scientific and computer science disciplines to solve complex data problems. The successful candidate will collaborate with internal and external stakeholders to refine data science models and outputs, employing critical thinking and problem-solving skills to interpret data and uncover hidden solutions. This position is crucial for optimizing data processing workflows and extracting high-value outputs that support INTERPOL’s crime and operational support units, as well as member countries globally.

Duties and Responsibilities:

• Source and analyze big data sets: Deliver comprehensive analysis using artificial intelligence/machine learning to provide insights and predictions. Consult and communicate effectively to ensure the best information and recommendations are delivered. Build and document credible models from data, adhering to coding best practices.
• Develop new products and models: Collaborate with the user community to strategize and execute the development of new data-driven products and services for member countries. Implement well-documented database models and monitor model performance.
• Create an effective enterprise data system: Contribute to the creation of an enterprise architecture for INTERPOL’s Information System, advising on data flows and identifying data quality issues. Establish data standards and protocols.
• Use data visualization and communication: Translate complex analyses into actionable insights, exploring and visualizing data to present narratives to diverse audiences. Work with stakeholders to leverage INTERPOL databases and the INSIGHT platform for analytical insights.
• Manage data ethically: Improve information lifecycle management and data quality, documenting efficient business processes and adhering to data science ethics. Perform additional duties as required by the hierarchy.

Required Qualifications:
Candidates must provide official proof of employment for all professional experience. Discrepancies between application documents and employment evidence may lead to disqualification. Education and qualifications include three to four years of completed education at a university or specialized higher education institution in statistics, applied mathematics, computer science, or a related quantitative field. A graduate degree in Data Science or a similar field is preferred. Candidates should possess strong problem-solving skills, a methodical approach, and knowledge of advanced statistical techniques and data mining concepts. Proficiency in coding languages such as SQL, Python, and Java is essential, along with familiarity with distributed data/computing tools like Elasticsearch and Hadoop.

Educational Background:
Candidates are required to have completed three to four years of education at a university or specialized higher education establishment in a quantitative field such as statistics, applied mathematics, or computer science. A graduate degree in Data Science or a related quantitative field is preferred, indicating a strong foundation in analytical skills and methodologies relevant to the role.

Experience:
A minimum of five years of experience in data science is required, specifically in manipulating data sets and building statistical models. Previous consulting experience in a relevant field is considered an asset, as is management experience. This level of experience ensures that candidates are well-equipped to handle the complexities of the role and contribute effectively to INTERPOL's objectives.

Languages:
Fluency in English is mandatory for this position. Proficiency in a second official language of the organization, such as French, Arabic, or Spanish, is considered an asset, enhancing communication capabilities within the diverse international environment of INTERPOL.

Additional Notes:
The position is a project fixed-term contract lasting 14 months, with a level of security" style="border-bottom: 1px dotted #007bff !important;">security-screening" style="border-bottom: 1px dotted #007bff !important;">security screening classified as enhanced. The role is financed by a third-party donor, and while there is a commitment from the donor, the appointment may be terminated if funding is no longer available. There is no expectation of renewal for this position, and any potential extension will depend on satisfactory performance and availability of funds. Candidates should be prepared for tests and interviews approximately 3-4 weeks after the application deadline, and selected candidates are expected to report for duty within two to three months after receiving an offer.