Information technology, software development, data jobs in Juja, Kenya

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Natural State

Energy + 2 more

Senior Data Scientist

Job details

Contract Type

Description

This role is for you if...

  • You have a strong technical background and are wanting to use your skills on real-world, applied biodiversity conservation and restoration projects.
  • You have ideas about how biodiversity data can be leveraged to make better decisions and you are excited to implement these.
  • You are detail-oriented and diligent, with a keen understanding of the importance of well-curated data and a passion for creating pipelines to support this.
  • You thrive in a remote work environment and are able to effectively manage your own workload without needing too much top-down direction.
  • You enjoy working in a small, high-performance team and pitching in where you’re needed.

Requirements

  • Must have: 5+ years of work experience and a degree in data science, computer science, statistics, mathematics, quantitative ecology or a related field plus experience working with ecological/biodiversity data (e.g. camera trap images, passive acoustic monitoring recordings, vegetation surveys, animal surveys, species lists, soil carbon, biomass, remote sensing observation, climate etc.).
  • Must have: Strong Python for scientific data work - pandas or polars for data handling, plus the analysis stack (numpy, scipy, statsmodels, scikit-learn or equivalent). Comfortable writing validation scripts that catch schema mismatches early and explain clearly what broke.
  • Must have: Strong statistical reasoning, including an understanding of concepts such as confidence intervals, uncertainty estimation, GLMs, and discriminative machine learning models.
  • Must have: Confident in SQL, joins, CTEs, window functions.
  • Must have: Comfortable investigating data issues independently in pgAdmin, DBeaver, or similar.
  • Strongly desired: Able to handle spatial data in PostGIS, QGIS, and GeoPandas - raster algebra, coordinate reference systems and reprojection, vector versus raster, and the common ways location data breaks.
  • Strongly desired: Experience working with remote sensing data.
  • Nice to have: Experience with ODK, KoboToolbox, Survey123, or a comparable field data collection platform (ODK Central admin experience is a plus).


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