841 Data Scientist jobs available for remote work from home. Apply for positions such as Staff Data Scientist Engineer - Wildfire, Lead Data Scientist, Senior Data Scientist ID70128 and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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Lead the scientific foundation of the Fuel Detection Model by translating satellite and environmental data into wildfire risk insights. Design rigorous validation methodologies and partner with ML engineers to integrate fire science into production systems.
The Lead Data Scientist will own the evaluation framework and quality strategy for advanced AI, computer vision, and perception systems. They will define pass/fail metrics, lead artifact auditing, and drive data strategy to ensure model quality and downstream usefulness.
Develop predictive models and quantitative analytics to prioritize security vulnerabilities based on risk and business impact. Structure massive security telemetry datasets and build machine learning algorithms to filter out scanning noise and false positives.
The Senior Data Scientist will develop data-driven solutions and predictive models to support business strategy and decision-making. They will collaborate with cross-functional teams to build and maintain data pipelines while extracting actionable insights from complex datasets.
Design and apply data science solutions to improve advertiser experience and the performance of the ad platform. Collaborate with product managers and engineers to translate requirements into data-driven insights and ML models.
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You will develop and deploy predictive machine learning models to identify fraud, waste, and abuse within a large-scale healthcare claims warehouse. This role involves establishing modeling practices, collaborating with subject matter experts, and ensuring model output provides actionable evidence for investigators.
You will collaborate with cross-functional teams to drive product strategy through quantitative analysis, experimentation, and data-driven insights. Additionally, you will define and monitor key product metrics to identify opportunities and influence roadmaps for business growth.
The Principal Data Scientist will influence the Service Collection roadmap by leveraging advanced data science, AI, and ML methodologies. They will also lead high-impact projects, define key results, and foster a strong data science culture through mentoring and training.
You will partner with cross-functional teams to develop data-driven strategies and influence product roadmaps through quantitative analysis and experimentation. Additionally, you will communicate complex insights to leadership using storytelling techniques to shape product development and measure success.
You will lead the research and development of LLM-driven applications and AI safety initiatives while collaborating with cross-functional teams to build production-grade solutions. Additionally, you will mentor data scientists and define the technical strategy for GenAI agents to ensure alignment with business goals.
You will lead the development of next-generation AI/ML technologies, focusing on LLM-driven applications and AI safety within a cybersecurity context. The role involves driving technical strategy, mentoring team members, and collaborating across functions to deliver production-grade AI solutions.
Analyze large datasets to differentiate between legitimate and fraud traffic while developing detection models to improve security product accuracy. Collaborate across teams to troubleshoot production issues and provide insights that shape product strategy.
The Senior Data Scientist will own complex analytical frameworks and measurement strategies to inform product and business decisions. They will collaborate cross-functionally to translate ambiguous business questions into actionable data-driven recommendations.
You will architect scalable, modern data and AI solutions by transforming complex business challenges into measurable results. The role involves collaborating with cross-functional teams to integrate intelligence into core business processes and ensure the lifecycle management of AI models.
You will lead quantitative measurement efforts and develop causal inference frameworks to drive payment strategies and fraud mitigation. Additionally, you will build and evaluate machine learning models to optimize guest, host, and business outcomes across the platform.
The Senior Data Scientist will lead the design and implementation of end-to-end geospatial analytical workflows and remote sensing projects. They will also provide technical mentorship to team members and ensure the scientific quality and reproducibility of all data products.
The Data Scientist II will implement geospatial data science, remote sensing, and environmental modeling workflows to support decision-making regarding land, water, and infrastructure. They will also be responsible for data acquisition, model validation, process automation, and clear documentation of analytical results.
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The Data Scientist II will implement geospatial data science, remote sensing, and environmental modeling workflows to support land, water, and infrastructure projects. They will also be responsible for acquiring and cleaning datasets, automating analytical processes, and documenting results for stakeholders.
The Senior Data Scientist will design and oversee end-to-end geospatial analytical workflows to transform large datasets into decision-ready information. They will also provide technical leadership, mentor team members, and ensure high scientific quality across environmental and conservation projects.
Develop, train, and evaluate machine learning models using the Databricks platform to support business and mission needs. Collaborate with cross-functional teams to translate business requirements into scalable data science solutions and communicate findings to stakeholders.
You will design and execute rigorous A/B tests and causal inference analyses to optimize messaging strategies across various Netflix channels. Additionally, you will build and automate data pipelines and dashboards to provide actionable insights for cross-functional partners.
The Senior Data Scientist will lead the development of AI-native software solutions and drive data-driven decision-making to optimize customer experience. They will collaborate with engineering and product teams to deploy scalable machine learning models and ensure high-quality, secure, and reliable platform performance.
The Senior Data Scientist will build, evaluate, and deploy machine learning models for risk scoring and threat intelligence. They will also collaborate with cross-functional teams to integrate these models into production systems and perform complex data analysis.
The Senior Data Scientist will build, evaluate, and deploy machine learning models for risk scoring and threat intelligence. They will also collaborate with cross-functional teams to integrate these models into production systems and communicate findings to stakeholders.
The Senior Data Scientist will develop and implement advanced machine learning models for risk scoring, threat intelligence, and vendor risk assessment. They will also collaborate with cross-functional teams to integrate these models into production systems and communicate findings to various stakeholders.
The Senior Data Scientist leads initiatives to drive business profitability and efficiency through advanced analytics and AI solutions. They are responsible for mentoring junior team members, managing project priorities, and presenting actionable insights to business leaders.
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The role involves analyzing complex data to diagnose performance issues and implementing technical fixes using internal tools. You will own the end-to-end process from data analysis and experiment design to reporting and client communication.
Design, build, and deploy scalable machine learning and AI solutions in production environments. Partner with cross-functional teams to solve complex business problems and contribute to AI platform architecture.
Develop new data-intensive functionality for brand performance and unified SEO/ASO tracking products. Collaborate with backend engineers and product teams to transform research into production-ready solutions.
You will lead the development and execution of research, analytics, and reporting for Evio Insights using real-world evidence to drive high-value medication solutions. This involves collaborating with cross-functional teams to translate complex health plan problems into actionable research and analytical recommendations.
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