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The Senior Data Scientist will lead high-impact AI safety projects, designing novel evaluation frameworks and software architectures for frontier AI models. The role involves mentoring technical teams and collaborating with government and commercial clients to ensure the secure and responsible deployment of AI systems.
Senior Data Scientist (PhD required) at Causal Foundry in Barcelona, building and validating predictive, causal, and decision-support models on the Kenkai AI platform using Python and SQL, while collaborating closely with engineering and partner teams on global health and supply-chain problems.
Transform environmental and operational data into actionable insights for a utilities practice, designing data-driven solutions, building data pipelines, and applying ML/optimization to large datasets while collaborating with engineers, OT/IoT specialists, and scientists.
The Principal Data Scientist leads the data science team at Central Health, overseeing the development of predictive models for population health and clinical decision support. This role ensures scientific rigor and ethical AI governance while leveraging cloud platforms like Azure and Snowflake to drive actionable healthcare insights.
IN THIS ROLE, YOU WILL: Design, implement, and evaluate statistical models, machine learning algorithms, and tools for application in business issues Build statistical models for various problems inclusive of…
Leads high-profile microdata research using Stats NZ’s IDI/LBD to analyze outcomes for Māori, policy, and public sector monitoring, primarily in R/SQL.
Develop and deploy ML/DL models and generative AI systems (RAG, agentic AI) for an automotive client in Pune, using Python and Azure OpenAI in an Agile, cross-functional team.
Data Scientist at a management consultancy using R/Python to build statistical models, dashboards, and reproducible analytical products that inform policy and strategy for government and private-sector clients.
Senior AI Solution Engineer advising business units on identifying and structuring AI use cases, evaluating technologies, building prototypes/POCs, and designing target architectures for AI solutions at a non-profit blood cancer organization.
Data Scientist focused on Computer Vision & AI developing, training, and optimizing ML/DL models for image-based road infrastructure analysis using Python, PyTorch, and related CV libraries at an AI-driven SaaS startup.
Leads a team of data scientists to build machine learning models and causal inference frameworks for marketing analytics, focusing on customer lifetime value, segmentation, and media mix modeling at a fast-growing daily fantasy sports platform.
Lead a team of data scientists to build and deploy ML/AI models that personalize online shopping experiences for M&S customers, improving product discovery and engagement.
The Data Scientist 3 will support mission-critical government programs by designing and implementing machine learning models, statistical analyses, and data-driven solutions. The role requires an active TS/SCI with Polygraph clearance and proficiency in programming languages like Python to extract value from complex datasets.
Data Scientist L3 Location: San Antonio, Texas Clearance Required: TS/SCI with Polygraph Employment Type: Full-Time Salary Range: $138,100-$153,500 Join a Growing Team at Weeghman & Briggs Weeghman & Briggs is…
This role involves driving applied research and product-oriented data science for an Agentic AI platform, focusing on LLM fine-tuning, evaluation, and knowledge graph development. The position requires deep technical expertise in machine learning and production-scale AI deployments to deliver robust agentic solutions.
Supports mission-critical government programs, analyzes requirements, collaborates with teams, and works with ELINT data and TechSIGINT. Conducts data manipulation, creates visualizations, and supports Advanced Weapons and Counter Proliferation initiatives.
Principal Data Scientist at Takeda builds and deploys ML models and statistical methods to solve complex healthcare business problems, collaborating with cross-functional teams to drive data-driven decisions.
Develops data-driven insights for biotherapeutics process development by integrating complex datasets, building predictive models, and creating visualizations to support scientific research and process improvements.
Build and deploy agentic and generative AI solutions using Python, LLMs, and ML models to solve real business problems in a cross-functional team.
The Senior/Lead Data Scientist will design and build agentic AI solutions, including RAG databases and AI agents, to automate data analysis and solve complex business problems. The role requires deep expertise in GenAI, LLMs, and Python, with a focus on deploying scalable analytical solutions on Google Cloud Platform.
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