About the Role As a Senior ML Engineer at Thorn, this role will build, deploy and maintain world class models, classifiers and algorithms to increase Thorn’s capabilities to achieve our mission of the elimination of…
Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise…
Diseñar, desarrollar, implementar y optimizar modelos avanzados de Machine Learning e Inteligencia Artificial que permitan resolver problemas de negocio complejos, generar insights accionables y potenciar la toma de…
We are looking for a highly skilled Data Scientist to develop advanced models, analyze complex datasets, and generate insights that fuel decision-making and automation. This role focuses on leveraging data and AI to…
We are looking for an Analytics Engineering Intern who is eager to learn and passionate about transforming information into actionable insights. This role is ideal for students with curiosity for programming, process…
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…
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated…
About the team The Zillow Experimentation Platform (ZEXP) team enables Zillow Group's Product, Engineering, and Data Science organizations to test bold ideas, validate strategies, and make trustworthy decisions…
About Arcanys Arcanys launched in 2010 to help entrepreneurs and innovators from Australia, Europe and other parts of the globe accelerate their software development with dedicated remote engineers from the Philippines…
Compensation: $169k – $252k CAD About the Role The Afresh Intelligence team is responsible for the development and performance of AI/ML models that power our core replenishment technology. Our models are directly…
What You Get Out of the Internship At Stryker, we believe that developing the next generation of talent is just as important as developing life-changing medical technologies. As an intern, you won’t just observe —…
Compensation: $45k – $61k • 0.002% – 0.5% A Note on This Role: We are currently seeking a Lead Data Scientist to join our team. Finding the right person for this critical role is more important to us than filling it…
Compensation: $192k – $288k About the Role The Afresh Intelligence team is responsible for the development and performance of AI/ML models that power our core replenishment technology. Our models are directly…
Doximity is transforming the healthcare industry. Join our mission to help every physician be more productive and provide better care for their patients. As medicine's largest network in the United States,…
Compensation: €54k – €120k • No equity We’re looking for a Senior Data Scientist with strong hands-on experience in fine-tuning Large Language Models (LLMs) on proprietary data. You’ll work at the intersection of…
Compensation: $160k – $170k CAD • No equity Data Scientist – Generative AI 100% Remote, Canada (covering EST/PST timezones) Experience: 5+ Years Role Summary: NearSource is looking for a Data Scientist – Generative AI…
Compensation: ₹10L – ₹15L • No equity **Position Overview: ** Neuralix.AI Private Limited is seeking a Data Scientist/Analyst/Customer Success professional to work on AI-driven supply chain optimization projects for…
Senior Data Scientist at Dimensionless Technologies builds predictive ML models for customer interactions, analyzes commercial analytics like CLV and campaign performance, and deploys solutions on AWS SageMaker. Core technologies: Python, SQL, AWS SageMaker, XGBoost, TensorFlow/PyTorch, Spark, Redshift, Tableau, Power BI.
Data Scientist at EveoAI, an AI-driven fashion and personality management startup, responsible for preparing and analyzing data for training AI models, performing EDA, data cleaning, feature engineering, and creating visualizations and reports. The core technologies include Python, Pandas, NumPy, Matplotlib, Seaborn, SQL, and machine learning frameworks.
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