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Client-facing data scientist at a go-to-market consulting firm, applying machine learning and statistical methods in big data environments to deliver data-driven solutions and insights for Fortune 500 clients.
Build, validate, and scale data pipelines and internal data products while applying AI to uncover insights, supporting product teams and business decisions at Bending Spoons.
Data Scientist building production NLP/LLM solutions (RAG, semantic search, NER, summarization) on Databricks with Python for a SaaS platform serving energy and utility infrastructure sectors.
A Data Scientist analyzes product usage and public data to produce policy-relevant metrics and dashboards that inform regulators and the public about Anthropic’s AI systems and impact.
Data Scientist on Anthropic's Safeguards team analyzing user behavior for safety insights, defining success metrics, running experiments, and building a data-driven culture using Python, SQL, and data visualization tools.
Leads data-driven strategy for developer productivity in an AI-first org, defining metrics, experiments, and tooling to measure and improve how engineers work with AI tools like Claude, while partnering closely with engineering leadership.
Data scientist driving commercial decisions for an AI platform, analyzing GTM metrics, running experiments, and building statistical models to optimize customer acquisition and retention.
Build and run marketing measurement systems—marketing mix modeling, geo experiments, and incrementality tests—to determine which marketing spend drives growth and guide budget decisions.
Lead a data-science team to measure and optimize Anthropic’s developer platform, using causal inference and A/B testing to guide API, agent orchestration, and MCP integrations roadmap.
About Route 92 Medical Route 92 Medical is on a mission to improve outcomes for patients undergoing neurovascular intervention. At the core is a reconsidered procedural approach, cutting-edge engineering, and…
Research Data Scientist on Google's Ads Insights and Measurement team, developing and improving ad products (Search, Display, YouTube) using statistical methods, causal inference, and ML at scale with Python, R, and SQL.
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.
The Senior Data Scientist will build and maintain predictive vulnerability models using ground-truth telemetry to help organizations prioritize security remediation. The role involves end-to-end model development, from feature engineering and training to production deployment and communicating results to stakeholders.
About Us At Axle Energy, we’re building the infrastructure that will underpin the decarbonised energy system. Our software moves energy usage to times when electricity is cheap and green, by controlling vehicle…
The Data Scientist builds and deploys ML models, translates business problems into analytical solutions, and communicates insights to non-technical teams while ensuring model reliability and performance.
Data Scientist, P&C Insurance - Remote Upland Capital Group, Inc. is an AM Best rated “A-” VIII specialty property/casualty insurer headquartered in Dallas, Texas. Through its wholly owned insurance carrier, Upland…
The Senior Data Scientist will design and deliver end-to-end machine learning products, such as credit risk models and recommendation systems, within an agile banking environment. The role involves collaborating with cross-functional teams to solve business challenges using Python, SQL, and distributed computing frameworks.
A Clinical Data Scientist using SQL, Python/Go, and BI tools like PowerBI and Tableau to analyze healthcare/pharmacy data, build dashboards, and measure program effectiveness in a hybrid role.
Designs and maintains high-quality data pipelines and analytics workflows, ensuring data accuracy, traceability, and observability for business decision-making using Python, SQL, Azure Data Factory, SAP, and M365 integrations.
Senior Data Scientist designing and operating high-quality data pipelines and analytics in Dubai, working with Python, SQL, and Azure Data Factory to integrate SAP and M365 data into a governed platform.
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