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Join Hiberus Tecnología's Buenos Aires team as a Data Scientist / AI Engineer: build end-to-end machine learning and generative AI models (computer vision, NLP), validate MVPs, optimize inference, and collaborate with data and software engineers to take prototypes to production.
Data Scientist role in Valencia, Spain: prepare, transform and model data, and build classical ML and AI models for forecasting, demand/sales prediction and time series, working on Databricks, Azure and DevOps. Requires a strong math/physics/informatics background and daily use of AI tools like Claude Code and Codex.
Data scientist at NTT DATA building predictive models, big-data pipelines, and generative AI solutions (embeddings, RAG, LLMs) for banking clients. Day-to-day work uses Python, PySpark, SQL, and AWS (S3, SageMaker, Redshift, Glue) to take models from exploration to production, in a hybrid setup in Spain.
Data Scientist / MLOps Engineer at Nunegal Consulting who builds and ships ML models end to end: feature engineering, batch and real-time training/inference pipelines, and serving models as APIs. Core stack is Python, Spark, SQL and FastAPI, offered as a 100% remote role.
Senior Data Scientist at Kard builds and ships machine learning, personalization/ranking, and experimentation systems for a card-linked offers platform, turning transaction data into production models and causal ROI measurement. Core stack: Python (pandas, scikit-learn, PyTorch/XGBoost), SQL, and modern data/ML tooling.
Build and improve recommendation models using PyTorch and Feast for Okko’s streaming platform, leveraging ClickHouse data and A100 GPUs.
A part-time mentor for a Physical AI/Robotics course, supporting university professors via chat by answering technical questions, troubleshooting ML/pyTorch issues, and guiding them through course materials, simulations (e.g., MuJoCo), and reinforcement learning challenges.
Lead Data Scientist at JPMorgan Chase's Cybersecurity & Technology Controls team, designing and delivering scalable machine learning and advanced analytics solutions to tackle cybersecurity and technology risk challenges. Core technical contributor role based in McLean.
A senior data scientist on J.P. Morgan's DART team (Data, Analytics and Reporting), building data, analytics, and automation solutions for Consumer and Community Banking Operations. The role focuses on developing analytics solutions and the infrastructure to support them within a global team.
At Home Depot, this Associate Data Scientist configures, tunes, and scales Generative BI (GenBI) capabilities rather than building models from scratch — building semantic layers, curating golden SQL query examples, and turning user feedback into technical solutions that modernize analytics across the business.
W3 professorship (chair) in Medical Data Science at the University of Passau, Germany. The appointee will lead the chair's research and teaching in medical data science at a public university with ~11,000 students and 1,300+ staff on its Passau campus.
A dual study program (B.Sc.) in Data Science & Artificial Intelligence starting in 2027 at BSH Hausgeräte Gruppe, Europe's leading home appliance manufacturer (Bosch, Siemens, Gaggenau, Neff). The student combines academic study with hands-on experience at the company from day one.
Data Scientist / ML Engineer at Neoris (Monterrey, on-site) who builds, trains, evaluates, and continuously improves a predictive ML model within a strategic data initiative. Day-to-day spans data exploration and cleaning, feature engineering, model training and validation in Python, and post-deployment monitoring.
Senior Data Scientist building and deploying machine learning and advanced analytics models on large-scale customer and business datasets, focused on customer behavior, campaign effectiveness, targeting, and response modeling. Core stack is Python, SQL, Databricks, and PySpark.
A Senior Data Scientist in London (hybrid) who designs, builds and deploys recommendation engines, conversational AI experiences and personalisation models for a large-scale digital platform, combining machine learning, recommender systems and generative AI to drive measurable commercial impact.
Junior data scientist position in Melbourne focused on coding, programming, and data analysis in a team environment. The posting comes from Data Office IT, a staffing/IT services firm placing technically skilled candidates with Australian clients.
Principal Data Scientist in Commonwealth Bank's AI & General Model Validation team, leading independent review, challenge and validation of the Group's most important ML, statistical and AI models, including GenAI and agentic systems, to confirm they are fit for purpose and operate as intended.
Senior Data Scientist at Commonwealth Bank of Australia building production-ready generative AI, agentic AI, and machine learning solutions within the Chief Operations Office, using modern AI, cloud, and engineering technologies to improve customer and colleague experiences through responsible AI.
Mid-level data scientist supporting intelligence and enterprise business analytics: cleaning, transforming, and managing data with Python and SQL, building Tableau dashboards and reports, and presenting findings to stakeholders. Requires an active TS/SCI clearance with full-scope polygraph.
Factor IT in Chile seeks a Data Scientist to explore datasets, build and validate machine learning models, and help deploy them to production. Daily work involves data preparation and modeling with Python or R (Pandas, NumPy, Scikit-Learn) on large data volumes in Google Cloud Platform (GCP).
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