{"id":168917,"url":"https://alion.io/job/satsure-data-scientist-2","title":"Data Scientist - 2","company":{"id":59505,"name":"SatSure","domain":"satsure.co","url":"https://alion.io/company/satsure","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Keka","truth_index":{"grade":"C","score":64,"open_postings":28,"ghost_share":0.607,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":2700000,"max":3000000,"currency":"INR","period":"year","gross":null,"usd_annual":30969},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"Computer Vision","optional":false},{"name":"Contrastive Learning","optional":false},{"name":"Encoder-Decoder","optional":false},{"name":"GAN","optional":false},{"name":"Knowledge Distillation","optional":false},{"name":"Model Distillation","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Quantization","optional":false},{"name":"Self-Supervised Learning","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Time Series Forecasting","optional":false},{"name":"Transformers","optional":false},{"name":"YOLO","optional":false}],"status":"live","first_seen_at":"2025-11-28T09:49:25Z","employer_posted_date":"2025-11-28","last_verified_at":"2026-10-16T23:53:56Z","board_verified":true,"closed_at":null,"days_open":322,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":321},"description":"SatSure is looking for a Data Scientist (Computer Vision) to drive the next generation of geospatial intelligence models powering critical products across agriculture, finance, infrastructure, utilities, energy, and climate. This is a hands-on technical role responsible for solving complex Earth-observation challenges using advanced ML/CV techniques to deliver state-of-the-art, production-ready solutions.\nAbout Team and Mission :\nOur EO Applied Data Science team builds foundational research and applied ML systems that work across seasonal, geographic, and sensor variations - from multispectral and SAR to multi-temporal satellite data.\nWe have delivered high-impact Geospatial Data Science solutions across a wide spectrum of EO applications, including Land Use & Land Cover mapping, Crop Classification, Sowing and Harvest Progression, Change Detection, Route Optimization, Satellite Image Time-Series (SITS) classification, Image2Image (I2I) Translation, Cross Modal Fusion etc.\nWe now aim to push beyond the existing SOTA and build large-scale, real-time systems that operate with terabytes of satellite data, delivering insights that impact millions of end users, especially in developing markets and more ambiguous/complex geographies.\nAbout SatSure:\nSatSure is a deep-tech decision intelligence company that leverages Earth Observation (EO) data to solve crucial problems across agriculture, finance, infrastructure, utilities, aviation, energy, and climate, to name a few. Our goal is to create meaningful impact for the “other millions,” with a focus on the developing world. We aim to make insights from Earth Observation data accessible to all.\nWith a founding team rooted in the Indian Institute of Space Science and Technology (IIST), Indian Space Research Organisation (ISRO), and the Indian Institute of Remote Sensing (IIRS), and a leadership team with diverse industry experience (IBM, Samsung, Intel, USC, IITKGP, IITG, IITM), we value technical innovation and scale. If you are interested in working in an environment focused on societal impact, driven by cutting-edge technology, and offering the freedom to innovate and be creative with no hierarchies, SatSure is the place for you.\nRoles & Responsibilities:\nWork in collaboration with product owners, applied data scientists, MLOps, geospatial experts, platform engineers to envision solutions to real-world, ambiguous business use-cases with low latency/ high throughput.\nFocus on identifying and solving customer problems with simple and elegant solutions, while working backwards from customer requirements.\nQuickly propose and validate hypotheses to direct the product roadmaps. Own time-bound, End-to-End (E2E) solutioning of large-scale ML applications, ranging from resource, requirements gathering, data collection, cleaning and annotation, model development, validation, deployment, monitoring, etc.\nBrainstorm, deep dive, implement, debug into fundamentals of the systems (e.g., architectures, losses, efficiency, serving etc), while writing clean, production level code, and conduct A/B as necessary.\nDefine proper output Data Science metrics and calibrate them to the desired business metrics.\nClearly communicate findings verbally and in writing to stakeholders of varied backgrounds. Have attention to detail.\nEngage and initiate collaborative efforts to meet ambitious (applied research and product/client delivery) goals.\nInnovate and advance State-Of-The-Art (SOTA) in-house solutions, and communicate findings as IPs (patents, papers), as deemed applicable by business.\nMentor junior staff, interns as applicable. Assist Science managers in effective project, resource management, hiring, and timely deliverables (in an agile manner), via showcasing strong sense of ownership and accountability.\nEducaton :\nM.Tech/MS (Research)/PhD in CS, EE, EC, Remote Sensing, or related fields preferably from leading academic/industrial labs/institutes/corporates.\nExceptional undergraduates with strong research/industry experience will also be considered.\nExperience :\n 4+ years of applied ML/Computer Vision experience (industry preferred).\nProven experience taking ML models from POC → production → monitoring.\nMust have Technical Expertise:\nA proven track record of relevant experience in computer vision, NLP, learning theory, optimization, ML+Systems, foundational models, etc.\nTechnically familiar with some, or most of (as evidenced by problem solving skills in novel scenarios): Transformers, UNet, RNNs/LSTMs/GRUs, YOLO/RCNN/Encoder-Decoder architectures, Generative models (GAN, VAE, Diffusion), Self-supervised & contrastive learning, Representation learning, domain adaptation & generalization, Semi-/Active learning, noisy-label learning, Super-resolution, anomaly detection, clustering, Model compression: distillation, pruning, quantization.\nPyTorch, Python, SQL, distributed systems (Spark), MLOps for large-scale training, data pipelines, and deployment.\nGood to Have:\nSAR (VV/VH), NDVI, FCC, multispectral optical data, Temporal modeling (SITS, forecasting, seasonal dynamics), Cross-modal fusion (SAR+Optical, EO+tabular/ground)\nFirst-authored publications in ICLR, NeurIPS, CVPR, ICCV, ECCV, ICML, AAAI, IGARSS, IEEE TGRS, etc.\nExperience with geospatial datasets, climate models, foundation models, or EO analytics.\nBenefits:\nMedical Health Cover for you and your family including unlimited online doctor consultations\nAccess to mental health experts for you and your family\nDedicated allowances for learning and skill development\nComprehensive leave policy with casual leaves, paid leaves, marriage leaves, bereavement leaves\nInterview Process:\nIntro call\nAssessment\nPresentation\nInterview rounds (ideally up to 3-4 rounds)\nCulture Round / HR round","description_format":"text","description_chars":5756,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Geospatial Analytics","AgTech","Earth Observation","Geospatial AI"],"lifecycle":[{"event":"open","at":"2026-08-29T20:50:04Z"}],"visa":[],"liveness":{"score":5,"band":"cold","label":"Long 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