{"id":3752832,"url":"https://alion.io/job/innocode-data-scientist-python-geospatial-data","title":"Data Scientist (Python / Geospatial Data)","company":{"id":4424599,"name":"Innocode","domain":"innocode.com","url":"https://alion.io/company/innocode-3","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"part_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Lviv, Ukraine"],"countries":["UA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Machine Learning","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Python","optional":false},{"name":"Git","optional":true},{"name":"QGIS","optional":true},{"name":"Scikit-learn","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-11-04T13:55:34Z","employer_posted_date":null,"last_verified_at":"2026-11-04T13:55:34Z","board_verified":false,"closed_at":null,"days_open":2,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":2},"description":"We are looking for an analytically strong and technically curious Data Scientist to join our team in Lviv.\nWhat you will do:\n\nAnalyse large and complex datasets to identify patterns, relationships, and opportunities for improving our models.\n\nDevelop, test and improve algorithms and predictive models using Python.\n\nWork with geospatial data and contribute to the development of high-resolution environmental maps.\n\nApply statistical methods and machine learning where appropriate.\n\nContribute to monitoring, troubleshooting, and improving our existing data processing and production systems.\n\nInvestigate data quality issues, unexpected model outputs and processing failures.\n\nGradually develop a good understanding of our Azure-based production environment.\n\nWork independently and collaboratively to solve analytical and technical challenges.\n\nWhat we are looking for:\n\nApproximately 3–5 years of relevant professional experience.\n\nStrong analytical thinking and problem-solving abilities.\n\nSolid programming skills in Python, including experience with Pandas, NumPy or similar libraries.\n\nGood understanding of statistics, data analysis and quantitative modelling.\n\nExperience working with complex datasets and developing reliable, maintainable code.\n\nAbility and willingness to understand existing software systems, investigate errors and contribute to troubleshooting.\n\nA structured, independent and pragmatic approach to solving problems.\n\nGood communication skills in English.\n\nNice to have:\n\nExperience with geospatial analysis, GIS or map production, using tools such as GeoPandas, Rasterio or QGIS.\n\nExperience with machine learning and predictive modelling, for example scikit-learn.\n\nFamiliarity with Microsoft Azure or other cloud platforms.\n\nExperience with automated data pipelines, monitoring or production environments.\n\nExperience with satellite imagery, remote sensing or environmental data.\n\nFamiliarity with Git and SQL.\n\nWhat we offer:\n\nThe opportunity to work with satellite data, environmental modelling and high-resolution geospatial technologies.\n\nChallenging analytical problems with practical, real-world applications.\n\nA small, international team where your work will have a direct impact.\n\nOpportunities to develop expertise in data science, geospatial analysis and production systems.\n\nA varied role combining research, model development and practical 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