GIS Data Specialist

Who We Are

Build. Scale. Sustain.

PALO IT is a global technology consultancy that crafts tech as a force for good. We design, develop, and scale digital and sustainable products and services to unlock value across the triple bottom line: people, planet, profit. We do the right thing, and we do it right. We’re proud to be a World Economic Forum New Champion and a B Corp-certified company.

• Small enough to care locally, big enough to deliver globally (5 continents, 18 offices, +650 experts from +50 nationalities)

• Robust and resilient (100% independent and 0 debt)

• Entrepreneurs and passionate experts: We invest in what we believe in and operate with collective intelligence

• Positive, courageous, caring, doers and committed to excellence

About Gen-e2

AI-First Product Engineering — Reinvented

Gen-e2 is our revolutionary approach to product delivery. While most teams use AI to support traditional workflows, we’ve redefined the entire SDLC around AI. Gen-e2 integrates AI-native processes, tooling, and architecture to boost quality, speed, and sustainability.

• 95% of the product (code, documentation, infra, tests, even UI) is AI-generated

• All work is contextualized in a single product repository for consistent generation quality

• Rules, templates, and prompt libraries ensure scalable, secure, and enterprise-grade output

• Gen-e2 delivers end-to-end products 2–3× faster than traditional models

Your Role

As a Geospatial Scientist & Multi-Hazard Risk Modeler, you will lead the development of a scalable, AI-driven hazard intelligence engine. Your mission is to transform complex atmospheric, geophysical, and geospatial data into a unified and actionable understanding of risk across multiple time horizons.

• Develop and implement advanced probabilistic models to quantify the likelihood and severity of natural hazards (e.g., Wind, Hail, Hurricane, Wildfire, Earthquake) across diverse geographies.

• Build predictive risk frameworks that translate historical data and real-time environmental conditions into actionable insights over 1, 3, 5, and 10-year horizons.

• Design and maintain a unified geospatial data architecture, integrating high-value datasets from sources such as NOAA, NWS, USGS, and private providers.

• Manage end-to-end geospatial data workflows: ingestion, validation, transformation, QA/QC, versioning, and documentation.

• Optimize GIS platforms and spatial databases (e.g., PostGIS) to ensure high-performance rendering of complex, multi-layered hazard maps.

• Enhance spatial query performance, indexing strategies, tiling, caching, and overall application scalability.

• Leverage satellite and aerial imagery (remote sensing) to validate models and refine hazard impact assessments.

• Develop automated data pipelines and modeling workflows using Python and modern geospatial libraries (e.g., GeoPandas, Xarray).

• Collaborate with cross-functional teams (engineering, product, data science) to translate complex scientific outputs into intuitive geospatial products.

• Ensure data governance, reliability, and scalability of geospatial services and infrastructure.

• Contribute to continuous improvement through reusable components, modeling standards, and knowledge sharing.

Who You Are

• Strong professional background in Atmospheric Science, Geospatial Science, Physics, or related fields.

• Proven experience in probabilistic risk modeling, especially for rare and high-impact environmental events.

• Expert-level knowledge of geospatial engineering, including PostGIS, spatial databases, and performance optimization of GIS applications.

• Deep understanding of meteorological and geophysical datasets (NOAA, NWS, radar data, seismic data, etc.).

• Advanced programming skills in Python, including experience with geospatial and scientific libraries (GeoPandas, Xarray, NumPy, Pandas).

• Experience designing and maintaining scalable data pipelines and automated workflows.

• Familiarity with remote sensing techniques and the use of satellite/aerial imagery for environmental analysis.

• Strong understanding of geospatial fundamentals: projections, coordinate systems, raster/vector data, and spatial analysis.

• Ability to translate complex scientific and technical concepts into clear, actionable insights for both technical and non-technical stakeholders.

• Experience working in English within international and cross-functional teams.

More About PALO IT

We’re eager to adapt to change, learn from experience and move to meet our planet’s urgent needs. We are continuously taking action to:

• Become a climate net-zero company

• Deliver projects with a positive impact

• Train 100% of our workforce on sustainability and impact

• Achieve B Corp certification in all global offices

• Continuously measure and improve employee happiness

Our clients are among the world’s most successful companies. We innovate with both Fortune 1000s and startups who aim to make a difference.

What We Offer

• Stimulating projects and environments

• International career mobility

• Internal R&D labs and AI-first tools

• Personalized training and certifications

• Entrepreneurial spirit and creative freedom

• Knowledge-sharing and PALOCast

• Flexibility, autonomy, and purpose-driven teams

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PALO IT is an equal opportunity employer that values merit, integrity, and diversity. We prioritize candidate privacy and data security. View our privacy policy for more details.