Description
At Sequoia Connect, we are a Talent-First Technology Ecosystem that redefines how elite professionals interact with the global digital landscape. We move beyond traditional models to act as a catalyst for the top 1% of global talent, connecting human potential with complex industrial execution. By joining our inner circle, you are not simply taking a position; you are aligning with a strategic partner dedicated to updating your "Human OS" and accelerating your growth through world-class, high-impact projects.
We are currently partnering with a global IT powerhouse that represents the connected world through innovative, customer-centric experiences. As a USD 6 billion organization and one of the top 7 IT service providers globally, our client empowers over 1,200 global customers—including several Fortune 500 companies—to "Rise™." With a massive network of 163,000+ professionals across 90 countries, they are at the absolute forefront of digital transformation, leveraging next-generation technologies such as 5G, AI, Blockchain, and Quantum Computing.
This is your chance to thrive in a workplace recognized as one of the most sustainable corporations in the world. You will join an environment that values innovation and societal impact, working on end-to-end digital transformation projects for global leaders. If you are a driven professional looking for global career opportunities and exposure to high-impact projects within an international network of expertise, this is where you belong.
We are currently searching for a Data Scientist / Machine Learning Engineer:
The Challenge (Responsibilities)
- 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 a ground-truth event log (detection rate, lead time, false-positive rate, AUC).
- Fine-tune geospatial foundation models (Prithvi-EO or similar) with LoRA/PEFT on limited labelled data.
- Implement SAR techniques for displacement: amplitude change, coherence, and pixel-offset tracking to measure pipe and dune movement.
- Develop dune-migration tracking (optical flow / feature tracking), migration direction, and mobility indices.
- Engineer robust ingestion from Copernicus (CDSE / Sentinel Hub / STAC) and fuse optical, SAR, DEM, and ERA5 wind data.
- Design labelling strategy (encroachment masks, severity) and a train/validation split that avoids leakage.
- Communicate results and limitations honestly to technical and business stakeholders.
Your Profile (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 (spectral indices, backscatter/dB, resolution trade-offs, revisit).
- Deep learning expertise with PyTorch, including experience fine-tuning models (transfer learning, LoRA/PEFT).
- Proven ability in model validation and calibration: ROC/AUC, thresholding, cross-validation, and handling weak/few labels.
- Experience with time-series / change-detection methods and coordinate reference systems (UTM, reprojection).
- High-Performance Mindset: Resilience, emotional intelligence, and a focus on agile delivery.
- Technologist DNA: A deep understanding of the difference between "coding" and "engineering."
Desired
- Experience with InSAR / SAR offset tracking (SNAP, ISCE, or equivalent) for surface/structure displacement.
- Familiarity with geospatial foundation models (Prithvi-EO, TerraTorch, HLS) and segmentation.
- Knowledge of Copernicus/CDSE, Sentinel Hub, STAC, and Planetary Computer.
- Exposure to Aeolian geomorphology, dune dynamics, or the oil & gas / pipeline-integrity domain.
- Experience with MLOps and cloud environments (containerisation, scheduled inference, geospatial data pipelines).
- MSc/PhD in Remote Sensing, Geospatial Science, Earth Observation, CS/ML, Physics, or equivalent experience.
- Familiarity with cloud-native foundations or AI coding assistants.
Languages
- Advanced Oral English: For seamless collaboration with global teams.
- Advanced Spanish.
Special Notes
- Preference for candidates with Space Tech experience, though not mandatory.
Work Arrangement
We value flexibility to support your lifestyle. This position is available as:
- Remote.
If you meet these qualifications and are pursuing new challenges, start your application on our website to join an award-winning employer. Explore all our job openings | Sequoia Career’s Page: https://www.sequoia-connect.com/careers/
Requirements
7+ years applied data science / ML, with hands-on geospatial remote sensing. Strong Python: numpy, rasterio/GDAL, xarray, scikit-image, geopandas/shapely. Working knowledge of optical and SAR data (spectral indices, backscatter/dB, resolution trade-offs, revisit). Deep learning with PyTorch; experience fine-tuning models (transfer learning, LoRA/PEFT). Model validation and calibration: ROC/AUC, thresholding, cross-validation, handling weak/few labels. Time-series / change-detection methods and coordinate reference systems (UTM, reprojection).