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Location
In office
Seniority
Middle · 4+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 1, 2026. First seen by Alion on Sep 22, 2020.

Overview
Company
Impact
Profile match
Half of the world’s population lives near active faults, but most of us are unaware of this. You can learn if you are at risk and protect your home, land, and family.

Temblor, Inc. is a Silicon Valley tech company that builds global catastrophe models for the public and the insurance industry to quantify real-time seismic hazard and risk using the concepts of stress transfer and the tools of machine learning.

Our commercial products include dynamic hazard and loss forecasts, the first globally consistent insurance loss model, stochastic event sets, and the highest-resolution global site amplification model available today. Temblor also provides the public with accurate, accessible, and understandable information about earthquakes through its mobile app.

Temblor is a National Science Foundation Phase I and II Small Business Innovation Research grant awardee ($1M).

https://temblor.net

We are building a team of UI/UX designers, software developers, data scientists, and researchers based in Turkey. We’re looking for highly motivated candidates who are lifelong learners, reliable, problem solvers, great communicators, and fluent in English.

Data Scientist

– Location

Istanbul / Turkey

– Role

Designing, developing, testing, and deploying Geospatial models for better quantifying earthquake risk using machine learning and other big data tools.

– Qualifications

Master’s degree or equivalent in Geophysics (Geophysical Engineering), Earthquake Engineering or related field

4+ years’ experience in big data modeling

Familiarity using Scrum/Agile development methodologies

Experience in geospatial data, large scale computations, highly available and scalable services using serverless architectures, big data tools, and databases.

Experience in Python (Numpy, Pandas, GDAL, Matplotlib, …), R, Matlab

Postgresql, PostGIS, QGis

Machine learning, AWS.

– Apply

Please send your standard CV/resume and a short bio that describes you with your own words to [email protected]

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