Descripción de la oferta
Department:Todas las habilidades, cualificaciones y experiencia relevantes que necesitará un candidato seleccionado se enumeran en la siguiente descripción.SolutionsReports to:Engineering Manager / Team LeadEmployment type:Permanent / Full-timeWorking type:HybridEmployment is subject to applicable security screening (incl. SUPO)The mission of the roleICEYE’s Flood Solutions exist to help people make better decisions when floods happen. We strive to provide the most accurate information before, during and after the flood events.You will be driving the analytics development within ICEYE Flood Solutions, ensuring we consistently turn multisource flood observations into one consistent flood extent and depth output that customers can trust in real conditions, including cloud cover, darkness, and other visibility-limiting environments.The outcomes are customer deliverables that supports the full flood response lifecycle, for example:Early warning for flood prone areasRapid situation awareness, so responders understand what is happening and whereSearch and rescue support, by highlighting areas likely to be impactedDamage assessment and claims workflows, by quantifying where flooding occurred and how severe it wasCommunication to affected residents or policyholders, with clear, explainable outputsResource allocation, so response efforts go where they matter mostFlood risk management, by improving the evidence base for future mitigationYou will ensure these outputs are good enough for real decisions. They need to ship reliably under time pressure, be explainable and consistent, and keep improving as coverage and use cases expand.You will lead the analytics end-to-end: translate customer & user needs into analytical requirements, define assumptions and acceptance criteria, drive validation, and guide the team’s analytical trade-offs.You will ride the elevator in a practical sense. You can work tactically in the core algorithms and data pipelines, and you can also operate at the product and operational level by shaping requirements, aligning stakeholders, and making clear “good enough” decisions that keep delivery moving.Who We AreICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE’s world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world’s largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy, day or night and in any weather.Designed for dual use, the platform serves defense, intelligence, and security users, and also civil protection and commercial users for natural catastrophe intelligence, insurance, maritime monitoring, and finance.ICEYE operates internationally with offices in Finland, Poland, Spain, Japan, the UAE, Greece, and the US. The company has more than 900 employees, inspired by the shared vision of improving life on Earth by becoming the global source of truth in Earth Observation.RequirementsWhy this roleIf you like turning messy real-world signals into something decision-makers can act on, you will like this role.Floods are complex. Inputs are uncertain, terrain data quality varies, and customers still need answers under time pressure. The work is to turn multi-source observations into outputs that are accurate enough for decision-making, with clear confidence and known limitations.This role is for someone who wants real ownership. You will shape the product's analytical direction and ship improvements into production, not just prototypes.You will also work with aligned autonomy. Teams move fast locally, but stay connected through shared customers, shared outcomes, and shared standards across Solutions.You are likely a good fit ifYou have deep domain knowledge about different types of floods on a global scale. In practice you know what it takes to map a pluvial flood in urban Japan or a coastal flood in Florida accurately.You enjoy going deep on algorithms and data quality, and you also care about what the user actually needs and can act on.You have shipped analytics into production and you think in terms of validation, failure modes, and operational reality, not just model quality.You can make trade-offs explicit. You know when to improve accuracy and when to ship good enough with clear limitations.You like turning recurring pain into better defaults (validation tooling, test datasets, pipelines, runbooks) that others actually adopt.How we workWe build analytics (analytics engineering)We don’t just do one-off data science projects, but we rather build analytical libraries, workflows and products. We focus on automation, validation and continuous improvement.Flow over ceremony (direction we are accelerating toward)We are moving toward flow. Finish over start. Limit WIP. Remove blockers early. Ship in small increments. We use flow and reliability signals (lead time, deployment frequency, MTTR) to steer improvements.Paved paths with escape hatches (direction we are standardizing)We standardize the basics so teams can move fast safely. Templates, pipelines, and guardrails should make the safe way the easy way. Escape hatches exist when context demands it. We improve paved paths based on real usage and friction.Strategic rhythm (how we operate today, and we want you to strengthen it)Fridays are typically Enablement Days for refactoring, improving shared capabilities, and reducing recurring toil. We expect adoption-ready outputs such as templates, libraries, pipelines, validation tooling, and runbooks.You build it, you run it (supportability-first, how we operate today)We own what we ship in production. The goal is calm operations, not heroics. That means observable, diagnosable systems with sane defaults and clear runbooks.What you will own (scope)You will have a leading role in the analytical content of the Flood Solutions roadmap in partnership with Product Management and the team’s technical leadership.You are accountable for:analytical correctness and validationclear and repeatable acceptance criteria for good enoughproduction readiness and output consistencyimproving supportability and reducing recurring operational frictionWhat you will work onEvent lifecycle and release logicImprove how we initiate analysis, reduce false activations, and decide what constitutes an event worth trackingImprove peak and end-of-event logic so releases converge toward maximum impact with fewer surprisesStrengthen release readiness under different delivery expectations, for example fast updates early and better accuracy laterOutput quality, uncertainty, and user trustDefine and evolve acceptance criteria and quality tiers so good enough is explicit and repeatableImprove depth and extent quality in hard conditions, including dense urban areas, complex terrain, and variable DEM qualityMake confidence and limitations clear in outputs and release notes so customers can act safelyEnsure deliverables are consistent and easy to integrate, including depth rasters (GeoTIFF), extent vectors (GeoPackage/GeoJSON), metadata (JSON), release notes and supporting artifactsImprove robustness, runtime, and failure handling so we deliver under time pressureData fusion and evidenceStrengthen how we combine SAR observations with supporting evidence sources, for example gauge data and other signalsImprove how evidence affects activation decisions, quality, and confidence communicationLead analytically, deliver practicallyTranslate product needs into analytical specifications, assumptions, and acceptance criteria, and validate that they are metMake trade-offs explicit and documented using lightweight decision records and clear assumptionsPrioritize analytical improvements with the Product Manager and team technical leadershipStay hands-on in the core analyticsDesign, implement, and productionize analytical improvements in Python and geospatial toolingBuild validation and regression checks so quality is measurable and repeatable, not tribalReview analytical changes with a high bar for clarity, correctness, and maintainabilityRaise the system, not just the algorithmTurn recurring pain into better defaults: test datasets, validation tooling, pipeline improvements, analysis runbooksImprove operability: signals that matter, faster diagnosis, fewer recurring incidentsUse AI-assisted workflows (Cursor, ChatGPT, Claude Code) to accelerate routine work while staying accountable for correctness, security, and qualityWhat success looks like (first 3 to 6 months)You ship a meaningful analytical improvement into production that measurably improves output quality, delivery reliability, or delivery speedYou tighten one critical part of the event workflow (activation, peak/end-of-event, release readiness) with clearer criteria and fewer surprisesYou introduce one repeatable validation or regression mechanism that improves confidence without slowing deliveryYou deliver one adoption-ready Enablement output the team actually uses (validation tool, test dataset, template pipeline, runbook)Must-havesExpertise in hydrology, geosciences, geography, or a related geospatial field, with proven ability to analyze and understand complex, real-world spatiotemporal systems.Senior-level experience delivering production-grade systems (typically 7+ years or equivalent)Strong Python skills, and experience making analytics production-grade (tests, reproducibility, performance, failure handling)Practical geospatial competence: you possess sufficient remote sensing (SAR, optical) and geoinformatics knowledge, you know your way around rasters and vectors formats, CRS concepts, and you know how to ship geospatial deliverables (GeoTIFF, GeoPackage/GeoJSON/GeoParquet) with clear metadataExperience owning quality criteria and validation for analytics-heavy products, including uncertainty and confidence communicationProduct thinking: you can connect user needs and operational constraints to analytical choices and acceptance criteriaOperational mindset: you design for resilience, ‘debuggability’, and supportability, and you improve systems based on incidents and real useOffice collaboration: you welcome working 3 days per week in the Espoo office and you thrive in direct collaborationNice-to-havesFlood modelling, flood forecasting or other natural catastrophe analytics experienceGeospatial Machine Learning experienceAI leverage with judgment: you use tools like Cursor, ChatGPT, or Claude Code to speed up routine work, you know how to provide context and constraints to LLMs, and you verify outputs properlyFamiliarity with geospatial and Earth observation standards used for interoperability and scalable data access, for example STAC, OGC APIs, and ZarrFamiliarity with Kubernetes, Docker, and infrastructure-as-code in a product team contextExperience in insurance sector, risk modelling or disaster response related to floodsApplication ProcessTA screenTask presentationDepartment lead interviewSVP of Solutions interviewWhat We Offer at ICEYEAt ICEYE, you will join a diverse and highly engaged team united by the ambition to make the impossible possible. We know that we will succeed only through exceptional people in our team — which is why your growth, wellbeing, and success are a priority.As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. You will benefit from continuous professional development, training opportunities, and a culture that values collaboration, curiosity, and integrity. ICEYE is a place where your contributions have a visible impact, and where we celebrate success together.Benefits (Subject to Candidate location)A job that matters in a dynamic Defence Technology and Earth Observation environment with a scale-up approachAn independent role with a supportive and diverse work environmentOccupational healthcare, occupational, and accident insuranceA yearly benefit budget to spend as you wish (i.e. on sport, transport, bike benefit, wellness, lunch, etc.)Phone subscription with iPhone of choiceRelocation support (i.e. flight tickets, accommodation, relocation agency support)Time for self-development, research, training, conferences, or certification schemesInspiring and collaborating offices and silent workspaces enable you to focusOur Commitment to Diversity, Equity, and InclusionAt ICEYE, we believe that diversity isn't just a buzzword – it's our greatest asset.We're committed to fostering an inclusive environment where every voice is not only heard but celebrated. We know that diverse perspectives breed innovation and creativity, which is why we actively seek out individuals from all walks of life, backgrounds, and experiences.Whatever your background, we want you to bring your authentic self to the table. Join us and be part of a team where differences are not only embraced but cherished, because together, we're stronger.We welcome applications from people of all backgrounds, including those who may need workplace adjustments. If you require any specific accommodations or assistance during the recruitment process for any reason, please let us know. xcskxlj Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at .#J-18808-Ljbffr
