Let’s breathe life into great tech ideas With 3,000 people globally, Intellias is a company where benchmark technological solutions are born. Join in and take your part in digitalizing the world.

Join a transformative data and AI platform initiative aimed at modernizing enterprise-scale capabilities and enabling real-time decision-making. This project delivers a comprehensive roadmap covering AI, MLOps, data governance, and platform scalability, supporting a shift towards data-first operations and intelligent automation.

Requirements:
• PySpark & Spark SQL: Nested-JSON flattening (explode, structs),mapInPandas / pandas UDFs, window functions for velocity and distinct-count aggregates, partitioning and performance tuning
• Databricks: Unity Catalog (catalogs, schemas, grants, column masks, tags, lineage), external locations on S3, cluster / compute policies incl. GPU, Auto Loader, Delta (MERGE, time travel, VACUUM), Workflows, Repos, secret scopes
• AWS: S3, IAM roles / instance profiles, KMS decryption in jobs, Secrets Manager, basic cost awareness
• Data engineering for ML:



Medallion design (Bronze / Silver / Gold), schema evolution, idempotent loads, DQ profiling, Feature Engineering in UC (feature tables)
• Pseudonymisation in pipelines: HMAC tokenization with per-key-type keys, normalisation (Unicode NFKD, case, token sort), phonetic keys, never logging raw values, scripted deletion (DROP / VACUUM / secret destruction)
• Entity resolution (implementation): Blocking / candidate generation with exact and approximate keys, edit-distance tolerance, match scores, surrogate IDs, conflict counting rather than merging
• Image processing at scale: Running a GPU batch job that decrypts, crops and embeds images in memory (PyTorch / timm), PCA, LSH bucketing
• Mixed-data clustering: Hands-on: kmodes (k-prototypes), gower + kmedoids with sampling, R kamila on Databricks, StepMix (latent class), bootstrap ARI
• Feature selection: Mutual information, correlation pruning, PCA

📌 Senior Data Scientist (España)
🏢 Intellias
📍 España