Data Scientist, Machine Learning

Job not on LinkedIn

🔥 0 minutes ago

🇲🇽 Mexico – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

📊 Data Scientist

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Sequoia Connect

WebsiteLinkedInAll Job Openings

11 - 50 employees

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Sequoia Connect is a company that specializes in IT advisory and talent services particularly focused on digital transformation. They provide headhunting services for technology specialists, IT consulting, and recruitment process outsourcing. With operations spread across multiple countries including the USA, Mexico, India, and regions in Latin America, they connect technologists with global companies. They aim to optimize processes, reduce operating costs, and maintain high standards of technological innovation. Sequoia Connect supports digital transformation for both multinational corporations and agile startups, serving over 700 clients across 50+ countries.

📋 Description

• Build and calibrate change-detection and anomaly models on multi-temporal Sentinel-1/2 imagery over pipeline corridors • Learn per-site normal-terrain baselines and validate detections against ground-truth event logs using detection rate, lead time, false-positive rate, and AUC • Fine-tune geospatial foundation models such as Prithvi-EO with LoRA/PEFT on limited labelled data • Implement SAR techniques including amplitude change, coherence, and pixel-offset tracking to measure pipe and dune movement • Develop dune-migration tracking using optical flow or feature tracking, including migration direction and mobility indices • Engineer ingestion from Copernicus/CDSE, Sentinel Hub, and STAC, and fuse optical, SAR, DEM, and ERA5 wind data • Design labelling strategies for encroachment masks and severity, and create train/validation splits that avoid leakage • Communicate results and limitations honestly to technical and business stakeholders • Work on end-to-end digital transformation projects for global leaders through Sequoia Connect's IT services partnership

🎯 Requirements

• 7+ years of applied data science / ML experience with hands-on geospatial remote sensing • Strong Python programming skills, including numpy, rasterio/GDAL, xarray, scikit-image, and geopandas/shapely • Working knowledge of optical and SAR data, including spectral indices, backscatter/dB, resolution trade-offs, and revisit • Deep learning expertise with PyTorch, including transfer learning and LoRA/PEFT fine-tuning • Proven ability in model validation and calibration, including ROC/AUC, thresholding, cross-validation, and handling weak/few labels • Experience with time-series and change-detection methods • Knowledge of coordinate reference systems, including UTM and reprojection • Resilience, emotional intelligence, and focus on agile delivery • Deep understanding of the distinction between coding and engineering • Advanced oral English • Advanced Spanish • Experience with InSAR / SAR offset tracking using SNAP, ISCE, or equivalent is desired • Familiarity with geospatial foundation models such as Prithvi-EO, TerraTorch, and HLS, and segmentation is desired • Knowledge of Copernicus/CDSE, Sentinel Hub, STAC, and Planetary Computer is desired • Exposure to aeolian geomorphology, dune dynamics, or the oil & gas / pipeline-integrity domain is desired • Experience with MLOps and cloud environments, including containerisation, scheduled inference, and geospatial data pipelines, is desired • MSc/PhD in Remote Sensing, Geospatial Science, Earth Observation, CS/ML, Physics, or equivalent experience is desired • Familiarity with cloud-native foundations or AI coding assistants is desired • Preference for candidates with Space Tech experience, though not mandatory

🏖️ Benefits

• Remote work arrangement • Global career opportunities and exposure to high-impact projects • Work on end-to-end digital transformation projects for global leaders • Collaboration with global teams in an international network of expertise • Workplace recognized as one of the most sustainable corporations in the world