Natural State – Junior Data Scientist (GIS Expert) Opportunity

Full Time


Natural State – Junior Data Scientist (GIS Expert) Opportunity

About Us

At Natural State, our mission is to amplify nature restoration and protection efforts by creating scalable impact monitoring solutions. We’re dedicated to evaluating the impact of nature-based solutions and guiding the development of equitable financing mechanisms. Established in 2021, we’ve formed a diverse team of over 30 experts, carefully selected for their deep scientific expertise in ecosystem impact monitoring. Headquartered in northern Kenya, we collaborate with partners across the Mount Kenya landscape to pioneer effective solutions that drive significant investment throughout Africa. By embracing open science and offering training programs for local leaders, we’re accelerating our impact on a broader scale. Join us in our quest to conquer the pressing challenges of our time. Learn more at

The Opportunity

Are you an aspiring Junior Data Scientist with a passion for Geographic Information Systems (GIS) and data management? We’re on the lookout for a motivated individual to join our dynamic team in Kenya. As a Junior Data Scientist, you’ll take center stage in gathering, managing, analyzing, and interpreting geospatial data. Your work will drive data-driven decision-making and contribute to innovative project solutions. Your meticulous attention to detail and technical prowess will be crucial. Stay updated with cutting-edge technologies and lead the way in adopting best-in-class methods for statistical analysis, modeling, and decision-making across our organization.

Reporting to: Data Architect

Location: Natural State Headquarters, Kenya (Lewa or Nanyuki)


GIS Data Analysis:

  • Data Cleaning and Integration: Work with extensive geospatial datasets, ensuring accuracy and consistency through thorough cleaning and integration into other Natural State datasets.
  • Spatial Insights: Utilize GIS tools to visualize and analyze spatial data, uncovering patterns and insights.
  • Geospatial Modeling: Conduct spatial analysis and modeling to support project goals.

Data Management:

  • Operational Models: Assist in designing data collection models that align with operational needs.
  • Efficient Data Strategies: Contribute to developing and implementing data management strategies, optimizing data collection, storage, and retrieval.
  • Data Quality: Collaborate across teams to establish data quality standards and perform regular audits to maintain accuracy.
  • Database Maintenance: Keep databases up-to-date, adhering to data privacy regulations.

Statistical Analysis and Modeling:

  • Statistical Tasks: Support the technical team in statistical analysis and predictive modeling using geospatial data.
  • Machine Learning: Aid in creating and evaluating machine learning models for geospatial applications.

Visualization and Reporting:

  • Effective Visualizations: Craft clear, visually appealing data visualizations and maps to convey complex geospatial information.
  • Analytical Insights: Prepare regular reports and presentations, delivering findings and recommendations to stakeholders.

Research and Innovation:

  • Tech Trends: Stay current with GIS technologies and data science methodologies.
  • Innovative Solutions: Contribute to innovative approaches addressing spatial data challenges.

Collaboration and Teamwork:

  • Team Dynamics: Collaborate effectively within teams and participate in brainstorming and problem-solving sessions.
  • Interdisciplinary Projects: Contribute to projects that integrate GIS data with other datasets.

Qualifications and Skills

  • Bachelor’s degree in Data Science, Geographic Information Systems, Geography, Computer Science, or related fields.
  • Proficiency in GIS tools (e.g., ArcGIS, QGIS, MapInfo) and geospatial modeling.
  • Experience with cloud-based geodatabases, such as AGOL.
  • Familiarity with data management techniques, data cleaning, transformation, and database maintenance.
  • Proficiency in programming languages (Python or R).
  • Basic understanding of statistical analysis and machine learning concepts.
  • Strong communication skills for presenting technical information clearly.
  • Attentive problem-solving skills and proactive learning mindset.
  • Ability to work independently and collaboratively.
  • Previous experience in GIS or data science projects is advantageous.
  • Background in ecological sciences, geography, or environmental analysis is a plus.

Expert Tips to Excel as an Applicant

  • Showcase Your GIS Proficiency: Highlight your GIS skills and how you’ve utilized them in previous projects, demonstrating your ability to work with geospatial data effectively.
  • Detail Data Management: Share instances where you’ve handled data collection, storage, and retrieval, emphasizing your attention to accuracy and data privacy.
  • Communication is Key: Provide examples of how you’ve conveyed technical information to diverse audiences, showcasing your communication skills.
  • Problem-Solving Prowess: Illustrate your approach to tackling complex problems and your curiosity in learning and finding solutions.
  • Collaboration Matters: Describe your experience collaborating within interdisciplinary teams and your role in driving successful outcomes.
  • Tailor Your Application: Customize your cover letter to address the listed requirements and share your salary expectations and availability clearly.

Ready to make a significant impact? Join us in reshaping nature restoration and protection through innovative GIS applications. Submit your 1-page cover letter and CV to with the subject line containing the role title. The deadline for applications is 5pm GMT on 15th September. Only shortlisted candidates will be contacted for interviews. Your journey towards impactful change starts here!

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