Design and implement AI and GenAI driven algorithmic components for contextual personalization and behavioral insights. Develop ML models and agentic workflows while scaling components to handle terabytes of data in production.
Remote Jobs & Work From Home Opportunities (755)
Search = Data Scientist
Analyze customer behavioral patterns and design experiments to evaluate product and marketing changes. Build models and datasets to improve customer segmentation and forecasting while partnering with cross-functional teams to influence business priorities.
The role involves owning end-to-end data science projects across Credit Risk, Growth, and AI initiatives to drive business decisions. You will develop models for underwriting, fraud, and personalization while evaluating new modeling approaches and alternative data sources.
Own end-to-end attribution algorithms for specific risk categories to identify and disrupt crypto-enabled crime networks. Translate domain expertise into production-grade intelligence by shipping scalable code, ML models, and data pipelines.
Own end-to-end attribution algorithms for specific risk categories to identify and disrupt illicit crypto-enabled crime networks. Translate domain expertise into production-grade intelligence by shipping heuristics, ML models, and scalable data pipelines.
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Build and deploy advanced predictive models and AI-enabled workflows, including RAG and GraphRAG pipelines, to optimize real estate operations. Partner with engineering and product teams to ship model outputs to production and translate business questions into data-backed recommendations.
Build advanced AI solutions using machine learning, generative, and agentic AI technologies while driving the adoption of AIOps and cloud-native architectures. Act as a technical mentor to junior developers and collaborate with customers to translate business challenges into ethical AI solutions.
Architect and deliver advanced AI solutions using machine learning and generative AI while driving the adoption of AIOps and cloud-native architectures. Provide technical leadership and mentorship to a small team, translating business challenges into ethical and scalable AI products.
Lead the delivery of large-scale, production-grade AI solutions and set the strategic direction for AI and data science across the business. Mentor a community of data scientists and AI engineers while managing C-level stakeholder relationships to drive business value.
Architect and deliver advanced AI solutions using machine learning and generative AI while driving the adoption of AIOps and cloud-native architectures. Provide technical leadership and mentorship to a small team, managing performance and career development.
Senior Data Scientist - Industry Solutions Engineering
Microsoft
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Full Time
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3 Weeks Ago
Microsoft
The role involves developing AI-powered, cloud-based solutions and operational models to solve complex business challenges for strategic customers. Responsibilities include acquiring data, conducting thorough modeling reviews, and contributing to industry thought leadership.
Design, train, and deploy ML and Agentic models to drive core product decisions such as credit risk and forecasting. Manage end-to-end experiments including feature engineering, production monitoring, and scalable pipeline maintenance.
Lead Fraud Data Scientist
Felix Technologies, Inc.
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Full Time
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3 Weeks Ago
Felix Technologies, Inc.
Lead the fraud team in designing and deploying real-time machine learning models to detect and prevent fraudulent activity. You will manage the full model lifecycle and collaborate with cross-functional teams to mitigate credit and lending fraud.
The Data Scientist will collect and analyze large data sets to build predictive models and AI/ML algorithms that optimize product development and business strategies. They will collaborate with cross-functional teams to interpret results and implement data-driven solutions for stakeholders.
The role involves developing content understanding signals and using Causal Inference and Machine Learning to improve member discovery experiences. The candidate will act as a strategic partner to stakeholders to identify business opportunities and scale model-based systems.
Define and operationalize the company's AI strategy across products, engineering, and internal operations. Establish AI governance, evaluation frameworks, and production-ready implementation patterns for LLMs and agentic workflows.
Senior Data Scientist Senior Data Scientist
Nestle Operational Services Worldwide SA
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Full Time
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3 Weeks Ago
Nestle Operational Services Worldwide SA
Develop and deploy advanced analytics and AI solutions to drive business impact within the Consumer Insights and Analytics team. Collaborate with Marketing and Sales teams to optimize business performance through machine learning models and data-driven decision-making.
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Lead the technical development and automation of Omada's enrollment forecasting engine to replace manual processes with a production-grade system. Collaborate with cross-functional teams to translate commercial questions into scalable analytical solutions and provide technical leadership within the data organization.
Develop and productionize ML-based recommendation systems and intent models to personalize guest travel insurance offerings. Collaborate with cross-functional teams to design high-velocity experiments and optimize the user journey through intelligent content ranking.
(Contract) Senior Data Scientist, Platform Inference - MarTech DS Measurement
Airbnb
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Full Time
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3 Weeks Ago
Airbnb
Design and maintain Marketing Mix Models and geo-based causal inference experiments to quantify the incremental impact of marketing investments. Translate complex measurement findings into actionable budget recommendations for senior Marketing and Finance stakeholders.
Lead large-scale data science initiatives to drive business profitability and improve customer experience through advanced analytics. Responsible for designing algorithms, mentoring junior data scientists, and managing the library of reusable code.
Collaborate with cross-functional teams to solve business challenges using advanced data analysis and machine learning models. Focus on cleaning large datasets, conducting exploratory analysis, and implementing optimization problems for supply chain and pricing.
Lead the design and deployment of scalable machine learning models to optimize vehicle selling and demand management. Collaborate with cross-functional teams to translate business requirements into technical solutions and mentor junior data scientists.
Drive product innovation through robust measurement strategies, experimentation, and causal inference to understand member engagement. Develop new metrics and measurement frameworks to guide strategic decision-making across the Netflix product ecosystem.
Senior Data Scientist
National Debt Relief, LLC.
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Full Time
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3 Weeks Ago
National Debt Relief, LLC.
Develop and deploy production-grade machine learning and AI models to solve complex business challenges within 8-12 week timeframes. Implement ML Ops practices and collaborate with cross-functional teams to translate business needs into scalable data science solutions.
The role focuses on driving product growth through data-driven insights, experimentation, and applied analytics to improve patient engagement and clinical efficiency. You will collaborate with cross-functional teams to design experiments and translate complex data into actionable business strategies.
New "Data Scientist" jobs delivered to your inbox
We'll notify you when new positions matching this search are posted
Lead Fraud Data Scientist
Felix Technologies, Inc.
·
Full Time
·
3 Weeks Ago
Felix Technologies, Inc.
Lead the fraud team in designing and deploying real-time machine learning models to detect and prevent fraudulent activity. This includes owning the full model lifecycle and collaborating with cross-functional teams to mitigate credit and lending fraud.
Lead Fraud Data Scientist
Felix Technologies, Inc.
·
Full Time
·
3 Weeks Ago
Felix Technologies, Inc.
Lead the fraud team in designing and deploying real-time machine learning models to detect and prevent fraudulent activity. Collaborate with cross-functional teams to mitigate lending fraud and conduct deep-dive investigations into emerging fraud patterns.
Data Scientist III - FES
Fanatics Betting & Gaming
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Full Time
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4 Weeks Ago
Fanatics Betting & Gaming
Develop predictive insights and LTV models to enhance customer segmentation and personalization across the Fanatics ecosystem. Collaborate with stakeholders to implement churn and propensity models that drive enterprise-wide decision-making.
The role involves designing and implementing end-to-end ML and Deep Learning pipelines for regression and industrial control use cases. Responsibilities include optimizing neural network architectures and collaborating with cross-functional teams to integrate solutions into production.
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