Senior Geostatistician Job Vacancy in Las Anod, Somalia – Data Science & Analytics

Statistician
Las Anod
August 4, 2026
Full Time
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Job Description

Position: Senior Geostatistician

Company: Esri

Location: Las Anod, Somalia

Experience: 5-7 years

Education: Master’s Degree in Statistics or Mathematics

Employment Type: Full-time

Industry: Data Science & Analytics

Department: Geospatial Intelligence

Salary: 4,500,000 – 6,500,000 SSP

Vacancies: 1

Company Overview

Esri is a global leader in geographic information system (GIS) software and spatial analytics. We empower organizations to understand the world through data-driven insights and spatial intelligence. As a pioneer in the industry, we provide the tools necessary for complex problem-solving in urban planning, environmental management, and resource allocation. Our mission is to help people make better decisions by visualizing and analyzing spatial patterns. We are currently expanding our footprint to support regional development through advanced data modeling. This is a premier opportunity for professionals seeking high-impact career opportunities in Somalia within a globally recognized technology framework.

Job Overview

We are seeking a highly skilled Senior Geostatistician to join our growing analytics team in Las Anod. This role is critical for interpreting complex spatial datasets and providing predictive models that drive strategic decision-making. You will work at the intersection of mathematics and geography, utilizing advanced statistical methods to analyze spatial autocorrelation, interpolation, and trend analysis. This position is ideal for someone looking for meaningful employment in Somalia within the high-tech sector. You will collaborate with various stakeholders to translate raw spatial data into actionable intelligence. For more information on our global initiatives, please visit https://somaliajobsearch.com.

Key Responsibilities

  • Develop and implement advanced geostatistical models to analyze spatial patterns and trends.
  • Perform kriging, spatial regression, and cluster analysis on large-scale datasets.
  • Validate the accuracy of spatial predictions through rigorous statistical testing.
  • Collaborate with GIS technicians to ensure data integrity and quality.
  • Create high-level visualizations of spatial data for executive reporting.
  • Provide technical expertise on spatial uncertainty and error estimation.

Required Skills

  • Expertise in R, Python, or SAS for statistical computing.
  • Deep understanding of spatial statistics and stochastic processes.
  • Proficiency in ArcGIS or similar GIS software suites.
  • Strong mathematical foundation in probability and linear algebra.
  • Excellent analytical and problem-solving capabilities.
  • Strong communication skills for presenting complex data to non-technical audiences.

Education

A Master’s degree in Statistics, Mathematics, Geostatistics, or a closely related quantitative field is required. A PhD is highly preferred for this senior-level position.

Experience

Candidates must possess a minimum of 5 to 7 years of professional experience in geostatistics or spatial data science. Proven experience in managing large-scale spatial databases and implementing machine learning algorithms for spatial prediction is essential. We are looking for individuals who have successfully navigated complex data environments in various industries.

Salary

The monthly salary for this position ranges from 4,500,000 SSP to 6,500,000 SSP, depending on the candidate’s expertise and technical proficiency.

Benefits

  • Competitive monthly salary in SSP.
  • Comprehensive health and wellness coverage.
  • Professional development and certification opportunities.
  • Flexible working arrangements.
  • Global networking opportunities within the Esri ecosystem.

Training

  • Advanced GIS software training.
  • Specialized workshops on spatial machine learning.
  • Leadership and management training for senior roles.

If you are looking for more international roles, check out https://mozambiquejobsearch.com/job-vacancy-mozambique/ for diverse openings.

Working Environment

The working environment is professional, collaborative, and highly technical. You will work in a modern office setting in Las Anod, supported by high-speed connectivity and cutting-edge computational hardware. While the role is primarily office-based, occasional travel to field sites may be required to validate data collection methods. We foster a culture of continuous learning and innovation.

Application Process

Interested candidates should submit their CV and a cover letter detailing their experience with spatial modeling. This hiring in Somalia process involves an initial screening, a technical assessment, and a final interview with the regional director. Please ensure all documentation is up to date.

For more career opportunities in the region, visit https://zambiajobssearch.com/job-vacancy-zambia/.

Equal Opportunity Statement

Esri is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All jobs in Somalia are open to qualified candidates regardless of race, religion, gender, or background.