Lead the full lifecycle of data science projects to develop AI models that predict acute healthcare utilization and improve population health outcomes. Collaborate with clinical leaders to translate complex data into actionable care pathways and mentor junior data scientists.
Remote Data Scientist Jobs (782)
Search = Data Scientist
Drive insight generation for complex projects to improve member experience and healthcare outcomes. Develop cost and quality models while prototyping novel approaches to measure product and business performance.
Senior Data Scientist, Crypto
Wealthsimple Technologies
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Full Time
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3 Weeks Ago
Wealthsimple Technologies
Partner with cross-functional teams to shape product strategy and business decisions for crypto products. Develop metrics and analytical frameworks to understand customer behavior and improve operational efficiency.
Senior Data Scientist (UK, Remote)
MindBridge Analytics
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Full Time
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3 Weeks Ago
MindBridge Analytics
The role involves delivering high-quality data science for strategic clients and integrating these capabilities into the core MindBridge product. Additionally, the Senior Data Scientist will mentor junior staff and develop new methods to achieve key analytic goals.
The role focuses on scaling AI-enabled systems, prototyping LLM applications, and building scalable analytics workflows. You will collaborate with cross-functional teams to automate operational burdens and improve internal data governance.
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Act as the technical lead for global marketing measurement projects, designing and executing models like MMM and attribution. Collaborate with cross-functional teams to integrate analytical solutions into web-based platforms and mentor junior members.
Lead the end-to-end development and deployment of AI/ML predictive models to optimize student retention and engagement. Coordinate cross-functionally with Product, Engineering, and CX teams to deliver a 'Next Best Experience' platform.
Data Analyst / Data Scientist (m/w/d)
Stellenangebote der Toto-Lotto Niedersachsen GmbH
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Full Time
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3 Weeks Ago
Stellenangebote der Toto-Lotto Niedersachsen GmbH
Perform database analyses across all company areas and create structured reportings using BI tools to support corporate decision-making. Support the development of the data warehouse, CRM solutions, and the company-wide implementation of PowerBI.
Design and operate data pipelines to collect and evaluate alternative data sources relevant to equity markets. Communicate statistical findings and actionable insights to both technical and non-technical business stakeholders.
The role focuses on creating data-driven insights to drive growth for the Sportsbook and Casino business units. Key tasks include building LTV models and developing automated personalization and promotion engines.
Develop predictive agronomic models and reliable data pipelines to address precision agriculture challenges. Lead research projects using statistical and machine learning techniques while providing technical mentorship and agile coordination for junior data scientists.
Lead the end-to-end development and evolution of high-performance tabular credit risk models. Ensure model resilience through monitoring, operational support, and the translation of complex statistical behaviors into business decisions.
Develop predictive models and AI solutions to automate decision-making and extract insights for laboratory and compliance operations. Manage the full innovation lifecycle from ideation and prototyping to production deployment and data pipeline maintenance.
Design, build, and deploy AI-powered solutions and agentic workflows to deliver business outcomes across insurance and investment sectors. Own the end-to-end delivery of LLM-enabled analytics and advanced statistical models while ensuring responsible AI controls.
Research and develop analytical solutions, prototype new products, and evaluate data assets within the Innovation Lab. The role involves creating advanced machine learning models to extract insights from structured and unstructured data sources.
Partner with stakeholders to design and deploy machine learning models and predictive algorithms in production environments. Develop end-to-end ETL data pipelines and share data-driven insights to inform business decisions.
The role involves leveraging AI and data science tools to improve healthcare platform efficiency for doctors and patients. The candidate will focus on driving long-term growth and creating real-world impact within the healthcare marketplace.
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Data Scientist - AI Trainer - Freelance - 8-20hr p/w - Remote
10x Team
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Full Time
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3 Weeks Ago
10x Team
Review and refine AI-generated outputs related to data science and machine learning to ensure accuracy and real-world relevance. Draft realistic data science scenarios and identify reasoning gaps in AI content.
Build and improve AI-native products and data-driven systems using LLMs and modern ML workflows. Collaborate with startup teams to prototype AI features and optimize model reliability and system performance.
Lead and execute HEOR and real-world evidence projects in collaboration with external pharma and academic partners. Develop analytical infrastructure and translate complex research into actionable clinical insights.
Architect and develop sophisticated real-time pricing models for alternative assets using machine learning and statistical analysis. Collaborate with domain experts and engineers to translate market intuition into mathematical features and refine risk and underwriting models.
Data Scientist – SaaS Insurance Analytics Platform (LLM Fine-Tuning & Azure)
Lineslip Solutions Inc.
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Full Time
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3 Weeks Ago
Lineslip Solutions Inc.
Develop and optimize large language models and RAG pipelines to extract insights from insurance data. Deploy and manage these models using containerized workflows within the Azure cloud ecosystem.
Sr. Epic Data Scientist
Methodist Le Bonheur Healthcare
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Full Time
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3 Weeks Ago
Methodist Le Bonheur Healthcare
The role involves designing and evaluating predictive models and advanced algorithms to extract value from complex healthcare databases. Additionally, the position supports EHR application configuration, documentation, and provides technical training and support to end users.
Design, build, and deploy advanced analytics and machine learning solutions to power the trading platform and business operations. Own the full data science lifecycle from exploratory analysis and model development to production deployment and monitoring.
The role involves extracting signals from unstructured clinical text and building domain-specific language models to improve healthcare outcomes. You will bridge the gap between clinical data assets and business partners to develop predictive analytics solutions.
Research and develop advanced statistical and machine learning models for large-scale, high-dimensional energy data. Productize these models into production-quality code and collaborate with cross-functional teams to solve business challenges.
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Lead end-to-end data science experiments focusing on graph analytics, entity resolution, and topological risk modeling. Perform rigorous exploratory data analysis on government datasets and develop interpretable classifiers and GNNs.
Develop evaluation frameworks and metrics to ensure the safety and quality of autonomous vehicle performance and simulation. Collaborate with engineering teams to solve ambiguous problems and communicate data-driven conclusions to senior stakeholders.
Build and scale the measurement and AI capabilities of the organization, focusing on causal lift measurement and personalization engines. Develop the ML platform infrastructure and translate data findings into commercial products for pharmaceutical sponsors.
Lead enterprise-wide people analytics initiatives by blending data engineering, consulting, and product ownership to improve workforce decisions. Design and maintain scalable data products, dashboards, and architectures to track organizational health and performance metrics.
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