{"id":3130945,"url":"https://alion.io/job/natural-state-senior-data-scientist","title":"Senior Data Scientist","company":{"id":3848963,"name":"Natural State","domain":"naturalstate.org","url":"https://alion.io/company/natural-state","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Zoho Recruit","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Nairobi, Kenya"],"countries":["KE"],"hiring_countries":["KE"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":16000,"max_usd":42000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2679},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"NumPy","optional":false},{"name":"PostGIS","optional":false},{"name":"Python","optional":false},{"name":"QGIS","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SciPy","optional":false},{"name":"SQL","optional":false},{"name":"Statsmodels","optional":false},{"name":"PostgreSQL","optional":true}],"status":"live","first_seen_at":"2026-10-23T00:00:00Z","employer_posted_date":null,"last_verified_at":"2026-10-23T00:00:00Z","board_verified":false,"closed_at":null,"days_open":5,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":5},"description":"This role is for you if...\n\nYou have a strong technical background and are wanting to use your skills on real-world, applied biodiversity conservation and restoration projects.\n\nYou have ideas about how biodiversity data can be leveraged to make better decisions and you are excited to implement these. \n\nYou 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. \n\nYou thrive in a remote work environment and are able to effectively manage your own workload without needing too much top-down direction. \n\nYou enjoy working in a small, high-performance team and pitching in where you’re needed. \n\nRequirements\n\nMust 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.). \n\nMust have: Strong Python for scientific data work - pandas or polars for data handling, plus the analysis stack (numpy, scipy, statsmodels, scikit-learn or equivalent). 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