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The Senior Principal Data Scientist will implement data science and AI methodologies to analyze patient-level clinical and real-world data to support drug development decisions. The role requires expertise in R, Python, and statistical modeling to collaborate with internal and external partners on clinical trials.
Hands-on senior AI/ML engineer leading the design, development, and production deployment of LLM, RAG, and agentic AI solutions for life sciences and healthcare applications using Python, PyTorch, LangChain, and Azure OpenAI.
Leads end-to-end AI/ML development for scientific workflows, deploying LLMs, RAG, and agentic systems in healthcare/genomics to improve customer outcomes and innovation.
The Associate Director of Data Analytics will design and deliver advanced marketing analytics, measurement, and reporting solutions using SQL, Python, and cloud platforms. This role involves leading complex analytical projects, implementing AI-driven automation, and mentoring a team to provide actionable insights for clients.
The Data Scientist will design and deploy machine learning models and predictive frameworks to optimize business value within Hitachi Energy's Transformers business unit. The role involves collaborating with cross-functional teams to build robust data pipelines using Azure, Databricks, and Python while ensuring model transparency and performance.
Develops data-driven solutions for solar power plant operations, analyzing large-scale time-series data to improve performance, troubleshoot issues, and support customer-facing reporting. Core tech: Python, SQL, PySpark, and cloud analytics platforms like Databricks.
This Data Scientist role supports a FinCEN program in Washington, DC, by applying machine learning and statistical modeling to large-scale financial datasets to detect financial crimes. The position requires an active Top Secret/SCI clearance and proficiency in Python, R, SQL, and AWS cloud-native technologies.
The Senior Machine Learning Engineer will design and build production-grade Intelligent Document Processing (IDP) and AI systems using Python, NLP, OCR, and LLMs. The role involves managing the full AI lifecycle, from data ingestion and model integration to deployment and observability in cloud environments.
Develop and deploy production ML systems for NLP, speech recognition, and data analysis using PyTorch, TensorFlow, and cloud platforms (AWS, Azure, GCP) at a major financial institution.
The Applied AI ML Associate develops and manages fraud and credit risk models for JPMorgan Chase's digital bank. The role involves end-to-end model lifecycle management, performance monitoring, and regulatory compliance using Python and machine learning frameworks.
As a working student Data Scientist, you will support the team by performing statistical analyses, developing agentic workflows, and extending web-based software solutions using Python and AI tools. The role requires 10-20 hours per week and is based in Dresden.
Validates complex natural catastrophe models by designing test plans, analyzing large datasets, and ensuring model accuracy/reliability; collaborates with scientists, engineers, and software teams to improve model quality and decision-making.
Builds predictive models and data products to drive customer lifetime value (CLV) by developing churn/retention models, segmentation strategies, and personalized CRM campaigns. Owns end-to-end ML workflows, including feature engineering, validation, deployment, and production monitoring in Databricks, while collaborating with CRM, Marketing, and Merchandising teams.
Senior Manager – Customer Analytics (Corporate) About Sally Beauty Holdings, Inc. At SBH, our purpose is to inspire a more colorful, confident, and welcoming world. We are the leader in professional hair color, selling…
Build and maintain a full-stack analytics workflow app for an alternative asset manager using Angular, Python/FastAPI, Snowflake, and Azure, while coordinating an offshore vendor team.
Builds and automates risk controls for a fintech platform serving Latin American SMBs, using SQL, Python, and BI tools to monitor financial operations and embed data-driven safeguards.
Develops advanced AI/ML models (tree models, deep learning, reinforcement learning, Generative/Agentic AI) to optimize P&G’s billion-dollar operations, combining cloud-based data analysis with scalable production deployment.
Data Scientist at P&G designing and implementing scalable ML/AI algorithms—including Generative/Agentic AI, optimization, and deep learning—on massive cloud-hosted datasets using Python and mainstream ML libraries.
Build and maintain low-latency C++/Java systems and data pipelines for a large fintech bank, using Spring, Kafka, Redis, and Python.
Hands-on quantitative researcher building Python/SQL research tools, data pipelines and AI-enabled workflows for index methodologies and investment analytics at a global index provider.
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