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Machine Learning Engineer (on-site, Bangsar South, Kuala Lumpur) who designs, trains, deploys, and monitors scalable ML models, including NLP/LLM work, using Python/Golang/Java, TensorFlow or PyTorch, and big data tools like SQL, Spark, and Hadoop. Salary RM 8,000–12,000 per month.
Data Engineer at Arkeus, a VC-backed defence-tech startup in Port Melbourne building AI-powered optical sensing systems. Day to day you own ETL pipelines turning large volumes of raw imagery/video into clean, ML-ready datasets, using strong SQL, exploratory analysis, and fast Python prototyping (Pandas, Matplotlib) alongside the ML team.
About WPP Media WPP is the trusted growth partner for the world’s leading brands. With exceptional talent, trusted data and intelligence, and world-class partnerships – all united by our pioneering agentic marketing…
Data Scientist who analyzes and cleans complex raw data, designs scalable predictive/ML models, and partners with engineering to move analytical prototypes to production. Core stack: Python (NumPy, Pandas, scikit-learn), SQL/PostgreSQL, with ElasticSearch and NLP as pluses.
Builds and refines ML models (pricing, forecasting, scoring) and dashboards, using Python, Scikit-learn, XGBoost, and generative AI to deliver data-driven insights for client decision-making.
Develops and deploys C++ algorithms for inertial navigation and sensor fusion in autonomous vehicles, improving positioning accuracy using real-world driving data and advanced estimation techniques.
Build and evaluate ML models, analyze customer conversation data, and create dashboards to improve AI-driven customer support experiences using Python, SQL, and cloud tools.
Senior data scientist at Alice (Ramat Gan) building the ML core of an automated GenAI red-teaming platform: clustering and analyzing adversarial prompts, building models for automated attack generation/mutation, and taking evaluation pipelines to production using Python, Scikit-Learn, PyTorch, and LLM tooling.
Data Engineer in Bordeaux rewriting legacy SAS programs in Python, doing statistical modeling and data analysis on migration/big-data projects. Core stack: Python (pandas/polars, numpy, scipy, statsmodels, plotting libs), SQL, DBT, ClickHouse, Git/GitLab, with ~2 days/week remote.
Remote (USA) biomedical data scientist at a nonprofit NF drug-discovery foundation: integrates genomic, molecular, clinical, imaging, and public datasets to identify and prioritize therapeutic targets for neurofibromatosis, stewards the NF Data Portal, and leads AI-enabled research via a Claude workspace. Core stack: Python/R, bioinformatics, omics analysis, LLM/agentic AI tools.
Senior support engineer/data scientist on Blue Yonder's supply chain support services team: builds and optimizes ML classifiers, mines and cleanses data, and resolves customer forecasting and data-quality issues. Core stack is Python (NumPy, Pandas, Matplotlib), SQL/Snowflake, ML/NLP/LLM techniques, and the company's supply chain products.
Build and debug embedded firmware for STM32/AVR microcontrollers, write sensor-data algorithms, and create UI tools for defense robots.
Leads analytics projects for global ad campaigns, designing measurement frameworks and experiments to optimize media performance for major brands using SQL, R/Python, and advanced tools like MMM and MTA.
Fetcherr, an AI company whose product delivers demand forecasting and pricing for airlines, is hiring a Data Analyst in Netanya to join its Insights & Decision Science team. Day to day: building Tableau reports and dashboards, writing SQL against large datasets, managing ETL pipelines, and turning AI pricing engine data into insights airline clients can act on.
Data Science Intern at Mico, a company building the conversational AI layer (LINE, SMS/RCS, Voice AI, web) Japanese brands use to reach customers. The intern cleans and analyzes real-world datasets with Python, performs EDA, applies statistics (hypothesis testing, regression), and builds/evaluates basic ML models using Pandas, NumPy, and Scikit-learn.
Analyzes traffic patterns to detect fraud in gambling, betting, and related schemes using SQL, Python, and PySpark, then builds monitoring and reporting systems.
Designs and maintains data pipelines and databases using Python and analytics libraries to support industrial digitalization projects.
Data Analyst at Papaya Gaming, a mobile game company in Tel Aviv, analyzing large player-behavior datasets to improve retention and revenue. Day to day involves SQL-based analysis, statistical and A/B testing methods, building dashboards, and using AI tools and Python alongside product teams.
Taux journalier (TJM): 430 à 470 €/j A LIRE ATTENTIVEMENT AVANT DE POSTULER 2 jours de télétravail / semaine - Lyon (03) - Expérience de 5 ans minimum Vous êtes Data Scientist expérimenté.e et souhaitez travailler sur…
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