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Backend developer building and evolving services with C#/.NET Core and PostgreSQL, designing RESTful APIs and asynchronous messaging systems in a hybrid role at a healthcare company.
The Director of Data Science will lead a team to develop predictive models and customer intelligence strategies for media brands, focusing on personalization, engagement, and product growth. The role involves leveraging Python, SQL, and machine learning to drive actionable insights across web and mobile platforms.
Hands-on technical leadership role designing scalable Java-based systems across enterprise, IoT, and data-driven domains using Java 17+, Spring Boot, Spring Cloud, and microservices architectures.
Build and deploy machine learning models and data pipelines for global clients, focusing on data engineering, model training, and MLOps with Python, PyTorch, and cloud platforms.
Builds AI agents and models for high-frequency trading, using deep learning and time-series forecasting to monitor systems and support research workflows.
Research and develop ML models for financial markets, applying predictive modeling, NLP, and time-series analysis using Python/R/Matlab.
Quantitative analyst builds and refines flow/positioning models in Python and SQL to provide investment teams with risk and alpha insights.
Research and build ML-driven trading models using deep learning and NLP to forecast market behavior and enhance financial predictions.
The Data Scientist will develop analytic models and automation tools using R and Python to help advertisers optimize their marketing spend. The role involves interpreting data to provide actionable insights and requires proficiency in statistical modeling techniques.
The Data Engineer will manage industrial data flows within the Digital Factory, focusing on the PI System to collect, structure, and integrate data from production equipment. The role involves bridging OT and IT systems to support industrial performance, quality, and maintenance analytics.
The Senior Data Engineer will design and optimize high-volume, low-latency data processing solutions for an AI-driven market analytics platform. The role involves working with KDB+/q and collaborating with traders and quants to support reporting and analytics.
Builds high-performance data pipelines and analytics for financial markets using KDB+/q, optimizing data access for traders, quants, and AI-driven reporting.
Customer Insights Analyst using SQL, Python/R, and BI tools to analyze customer behavior, build predictive models (churn, LTV, propensity), and deliver data-driven insights to marketing and brand teams at an international travel company.
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of…
Build data pipelines, APIs, and web tools that Anthropic researchers use daily to manage, query, and analyze training and evaluation data for frontier AI models.
Tech lead for Anthropic's Research Data Platform team, building systems that make research data (training runs, RL transcripts, annotations) easy to produce, find, query, and trust. Hands-on role designing platform components and owning core datasets end-to-end, working directly with ML researchers.
This Data Scientist III role involves analyzing large-scale real-world insurance claims and EHR data to support cancer research and AI/ML model development. The position requires expertise in SQL, R, and statistical modeling to derive clinical insights and communicate findings through manuscripts and visualizations.
Lead a team building multimodal AI systems that unify biological data and scientific expertise to power autonomous discovery engines for drug development and biological research.
Developing and deploying production ML/DL models for time series forecasting and financial market prediction in a DeFi and algorithmic trading product team, using Python, PyTorch, and gradient boosting frameworks.
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