{"id":1390259,"url":"https://alion.io/job/planet-data-scientist-3","title":"Data Scientist","company":{"id":626,"name":"Planet","domain":"planet.com","url":"https://alion.io/company/planet","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":86,"open_postings":27,"ghost_share":0,"stale_share":0.556,"repost_share":0,"time_to_fill_p50_days":58,"computed_at":"2026-09-29T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Graz, Austria"],"countries":["AT"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":54100,"max":67600,"currency":"EUR","period":"year","gross":null,"usd_annual":76910},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Embeddings","optional":false},{"name":"GDPR","optional":false},{"name":"Git","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Time Series Forecasting","optional":false}],"status":"live","first_seen_at":"2026-09-28T08:53:36Z","employer_posted_date":"2026-09-28","last_verified_at":"2026-09-29T20:31:12Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Welcome to Planet. We believe in using space to help life on Earth.\nPlanet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one.\nCustomers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world’s toughest obstacles.\nAs we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains.\nWe have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world.\nPlanet is a global company with employees working remotely world wide and joining us from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands.\nAbout the Role: \nWe are looking for a Data Scientist to join our team in developing high-quality, validated markers that extract insights from dense temporal stacks of satellite imagery across agriculture, land management, and climate. The markers you build form the core of our Area Monitoring System (AMS) delivered to Common Agricultural Policy paying agencies across Europe, owned end-to-end from method to production code. You will collaborate closely with scientists and engineers to deploy models at scale, while expanding beyond compliance into land-cover change detection using embeddings and AI-first workflows.\nIdeal candidates are adaptable, curious about AI agents, and eager to iterate directly based on customer feedback. As a member of this team, you will have the opportunity to work with multi-sensor Earth observation data to solve complex environmental and agricultural challenges.\nThis is a full-time, hybrid role which will require you to work from our Graz, Ljubljana or Haarlem office 3 days per week.\nImpact You’ll Own:\nDevelop algorithms and machine learning models that extract insights from satellite imagery time series, and maintain and improve the markers we already run.\nTake a research topic from exploration through to production.\nOwn marker results for production AMS deliveries across several EU countries - run them, review them, and confirm quality before they reach the client.\nExplore and build embeddings-based insight extraction in new areas beyond CAP.\nUse AI agents in your daily work, and help the team get better at it.\nCo-own the markers codebase together with the rest of the team.\nCollaborate with the team to iteratively build solutions on our platform and existing data building blocks, and inspire and enable our partners to extract insights using them.\nDocument and organize your work to be transparent and repeatable.\nWrite internal research reports, public blog posts, and reports for clients.\nWhat You Bring:\n4+ years of relevant work experience.\nBachelor's degree or higher in computer science, data science, or another STEM field.\nUnderstanding of machine learning principles, including model validation and performance evaluation techniques.\nProficiency in Python programming, with the ability to write maintainable, well-documented code.\nExperience working with AI agents and modern machine learning tools.\nExperience with version control and Git, and comfort working in a shared codebase.\nWorking knowledge of the geospatial domain.\nAbility to deliver projects on schedule and manage technical deliverables.\nProblem-solving skills in technical or analytical domains.\nProfessional working proficiency in English, the language of the company.\nWhat Makes You Stand Out:\nExperience working with embeddings or other learned representations of imagery.\nRemote sensing expertise, particularly with satellite time series.\nExperience processing radar data (for example Sentinel-1).\nFamiliarity with the agricultural domain, or with the EU Common Agricultural Policy and area-based payment schemes.\nExperience with cloud environments and distributed computing.\nApplication Deadline:\n11:45p / 23:45 CET on the date stated below. Applications are reviewed on a rolling basis. This posting may be removed earlier than projected if a suitable pool of applications has been received. For this reason, we recommend applying as soon as you are able to.\nBenefits While Working at Planet:\nThese offerings are dependent on employment type and geographical location, based upon applicable law or company policy.\nPaid time off including vacation, holidays and company-wide days off \nEmployee Wellness Program \nHome Office Reimbursement\nMonthly Phone and Internet Reimbursement\nTuition Reimbursement and access to LinkedIn Learning\nEquity \nVolunteering Paid Time Off\nCompensation:\nThe expected starting gross salary range for this role is listed below. Individual placement within this range is determined objectively based on gender-neutral criteria such as your skills, qualifications, and professional experience. This position may also be eligible for discretionary bonuses and/or equity.\nAustria Salary Range\n€54.100—€67.600 EUR\nSan Francisco Fair Chance Ordinance\n Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.\n\nWhy we care so much about Belonging. \n We’re dedicated to helping the whole Planet, and to do that we must strive to represent all of it within each of our offices and on all of our teams. That’s why Planet is guided by an ultimate north star of Belonging-dreaming big as we approach our ongoing work. If this job intrigues you, but you’re thinking you might not have all the qualifications, please... do apply! At Planet, we are looking for well-rounded people from around the world who can contribute to more ways than just what is listed in this job description. We don’t just fill positions, we aspire to fulfill people’s careers, most excited about folks who are motivated by our underlying humanitarian efforts. We are a few orbits around the sun before we get to where we want to be, so we hope you’re excited to come along for the ride. \nEEO statement:\n Planet is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. Planet is an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. Know Your Rights.\nAccommodations: \n Planet is an inclusive community and we know that everyone has their own needs. If you have a disability or special need that requires accommodation during the hiring process, please reach out to  or contact your recruiter with your request. Your message will be confidential and we will be happy to assist you.\nPrivacy Policy: By clicking \"Apply Now\" at the top of this job posting, I acknowledge that I have read the Planet Data Privacy Notice for California Staff Members and Applicants, and hereby consent to the collection, processing, use, and storage of my personal information as described therein.\nPrivacy Policy (European Applicants): By clicking \"Apply Now\" at the top of this job posting, I acknowledge that I have read the Candidate Privacy Notice GDPR Planet Labs Europe, and hereby consent to the collection, processing, use, and storage of my personal information as described therein.\nAI in Our Interviewing Process: Planet is committed to providing an exceptional interview experience for all candidates. We currently use Metaview to better focus on candidates and less on trying to capture notes. As such, with the candidate's consent, select interviews may be recorded and include a \"Planet AI Notetaker\" for transcription and summarization purposes. Should an interview involve use of AI interview technologies, the candidate will receive notification and have the ability to opt out both in advance and/or real-time. Opting out will not affect one's candidacy.\nCandidate AI Policy: Planet embraces Artificial Intelligence (AI) tools, and we encourage its responsible use. We understand that candidates may use various resources, including AI tools, to prepare for interviews and assessments. However, during any live interview stage or when actively completing assessments for this position, the use of AI tools-e.g. Large Language Models (LLMs), deep fake technology, etc.-is strictly prohibited unless explicitly prompted by an interviewer or assessment instructions. If you are unsure about acceptable use, please contact your recruiter for clarification. If an AI tool or similar technology is desired as an accommodation, please contact  with your request for assistance. Your message will be confidential, and we will be happy to assist you. Violation of this policy may result in disqualification of your application.","description_format":"text","description_chars":9467,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"Upper-Intermediate (B2)","optional":false}]},"benefits":["Equity","Home office","Internet reimbursement"],"hiring_locations":[{"name":"Austria","iso":"AT","kind":"country"},{"name":"Slovenia","iso":"SI","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Geospatial Analytics","Satellite Manufacturing","Earth Observation"],"lifecycle":[{"event":"open","at":"2026-09-28T11:28:00Z"}],"liveness":{"score":70,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.695,"p_room":1,"age_days":0,"expected_fill_days":58,"reasons":["conf:2","stale_co","wave","velocity","win:early","comp:brand"],"computed_at":"2026-09-29T05:45:00Z"},"pay":{"stated_usd_annual":76910,"is_top_pay":false},"html_url":"https://alion.io/job/planet-data-scientist-3","json_url":"https://alion.io/job/planet-data-scientist-3.json","meta":{"generated_at":"2026-09-30T00:14:41Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":72,"day_limit":5000,"remaining_today":4928,"minute_limit":60,"resets_at":"2026-10-01T00:00:00Z"}}}