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The Data Scientist will develop AI and machine learning models, including Generative AI solutions, to support Singapore government agencies. The role involves full-stack development, data wrangling, and maintaining AI-powered applications using technologies like Python, AWS, and various LLM frameworks.
Build AI-ready data products for pharmaceutical CMC workflows, integrating lab instruments and regulatory data to power predictive models and compliance frameworks.
Senior Data Scientist designing and implementing ML solutions for anomaly detection, root cause analysis, and predictive models on terabytes of streaming datacenter network data using Python, Golang, and big data tools like Spark and Flink.
The Data Scientist will build and implement predictive cohort models to support underwriting and marketing functions at Chubb. The role involves data extraction, statistical analysis, and cross-functional collaboration using tools like Python, R, and SQL.
Build predictive models and AI solutions to drive business decisions using Python, SQL, and ML in a data-heavy product company.
Job Details: Tyson Foods, Inc. has an opening for Lead Data Scientist in Springdale, AR. Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using…
Internal Management & Management Support Applicants: Automatic notification to your current manager will be initiated upon selection for interview. This applies to all current P or M level candidates. Relocation…
Data Scientist designing and implementing data processing and machine learning frameworks, with hands-on work in LLMs, GenAI, and NLP using Python and SQL—fully onsite in Chennai.
Senior Data Scientist building and scaling connected agentic AI systems (multi-agent LLM workflows, RAG pipelines) in Python and SQL at AB InBev's Bangalore office, partnering with business stakeholders to deliver production-ready ML solutions.
The Senior Data Scientist will design and deploy scalable machine learning models and AI-driven data products to optimize seller segmentation, contact quality, and engagement for Amazon Business. The role involves collaborating with cross-functional teams to implement predictive models and explore GenAI applications to drive seller growth across global marketplaces.
Designs and deploys end-to-end machine learning solutions for clients, bridging business problems with statistical modeling, cloud-based analytics, and production-grade MLOps. Focuses on Azure-based pipelines, model governance, and stakeholder collaboration.
Lead Data Science initiatives for CCOR Conduct, designing and deploying production-grade GenAI/ML solutions for risk and compliance use cases (AML, fraud, sanctions), managing the end-to-end model lifecycle with Python and various ML techniques.
Lead the engineering efforts of an 'Agentic Factory' team, designing and deploying production-grade GenAI/ML solutions, multi-agent workflows, and MLOps pipelines on GCP/Vertex AI with hands-on Python development and team mentorship.
Senior Data Scientist focused on product and business analytics for a large consumer internet/e-commerce platform, using statistical analysis, attribution frameworks, and AI tools to drive strategic decisions across community, content, and commerce verticals.
Leads clinical data science initiatives to analyze trial data, develop statistical models, and mentor teams; bridges data insights with cross-functional stakeholders to optimize trial outcomes.
Builds data products like reports and dashboards, engineers features, and applies AutoML to deliver predictive models that inform business decisions.
Lead Data Scientist designing and modeling analytical architectures, building SQL-based data structures, and guiding BI platform selection for US Government data analytics programs at a government IT contractor.
Senior Data Scientist bridging business challenges with AI-driven solutions, specializing in Generative AI, LLMs, and MLOps to develop and deploy advanced models for clients in industries like finance, telecom, and retail.
Lead complex AI/ML and analytics consulting engagements for TransUnion's Financial Services Consulting team in a hybrid Chicago role, using Python/R, SQL, cloud platforms, and modern ML frameworks to deliver data-driven solutions to clients.
Builds and deploys ML/AI models to analyze healthcare data, improve predictive accuracy, and automate workflows using agentic systems and RAG techniques.
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