Remote Jobs & Work From Home Positions (777)
Health IT Data Scientist
The Data Scientist will develop, validate, and operationalize advanced analytical and machine-learning models to support Health IT operations and decision-making. They will also collaborate with Data Engineers to ensure model scalability while maintaining rigorous documentation and data quality standards.
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Sr. Data Scientist, Business Analytics
The role involves defining and monitoring key performance metrics while leading deep-dive analyses to drive marketplace strategy. You will partner with cross-functional teams to translate data insights into actionable business decisions and improve revenue forecasting models.
Sr. Data Scientist, Business Analytics
The Senior Data Scientist will define and monitor key marketplace metrics while leading deep-dive analyses to inform company strategy and revenue forecasting. They will partner with cross-functional teams to translate data insights into actionable business decisions and maintain self-serve analytical tools.
Data Scientist - US Remote
You will analyze large, complex datasets to extract meaningful insights and develop analytical models using machine learning techniques. Additionally, you will collaborate with stakeholders and BI developers to build and maintain data workflows and interactive dashboards.
Senior Data Scientist
You will own sales forecasting and champion data-driven decision making by building statistical and machine learning models. You will also collaborate with a scrum team to ship end-to-end data products and provide technical leadership to junior team members.
Principal Data Scientist
Lead a team of data scientists to apply machine learning and statistical methods to model customer behavior and product adoption. Collaborate with product development teams to drive data-informed decisions that improve business strategy and customer outcomes.
Data Scientist 2
Design and develop methods to analyze unstructured big data sources to generate actionable insights for product enhancement. Interact with cross-functional teams to identify analytical questions and communicate findings to business managers.
Associate Data Scientist - People Analytics
Develop and analyze algorithms and models using large datasets to generate business insights and solve business problems, consulting with senior data scientists on analytical methods. Communicate findings and recommendations to technical and non-technical audiences, support project reporting, and continually develop data science skills.
Data Scientist / AI Engineer
Design and develop practical AI and advanced analytics solutions, including agents, RAG pipelines, and LLM-based systems. Prepare and analyze data, integrate cloud services, build Python business logic, iteratively evaluate solutions in production, and collaborate on their industrialization.
Senior Data Scientist
Design and deliver statistical analyses, predictive models, and data workflows using Python and SQL, while building scalable Databricks pipelines and reusable data assets. Own customer projects from discovery through presentation, ensure analytical accuracy, and help develop the analytical engine behind Bonfire’s AI-powered products.
Senior Data Scientist ID70128
Develop predictive models and quantitative analytics to prioritize vulnerabilities according to contextual risk and business impact, and analyze large-scale enterprise security telemetry for the ASPM framework. Build models to filter scanning noise and false positives, and create unified data delivery structures and dashboards that support data-driven security governance.
NLP Data Scientist
Lead fine-tuning and alignment of open-source language models, including dataset preparation, preference optimization, quantization, and rigorous evaluation. Manage distributed training and collaborate with MLOps teams to prepare model checkpoints for cloud deployment and real-time inference.
Program Integrity Data Scientist III
Lead the development and deployment of advanced analytical models, dashboards, and automated solutions to detect fraud, waste, abuse, anomalies, and payment integrity risks across healthcare claims. Guide investigations and enterprise initiatives, evaluate outcomes, support legal proceedings, present recommendations to stakeholders, and mentor analysts and data scientists.
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Data Scientist for Machine Learning Team
The Data Scientist will bridge the gap between theoretical model design and production reality by optimizing core Deep Neural Network models within a high-frequency auction ecosystem. Responsibilities include conducting deep-dive analysis of model behavior, formulating hypotheses, and designing experiments to improve bidding performance.
Data Scientist IV
Lead the design, development, and operationalization of advanced AI and machine learning solutions to improve healthcare operations and patient outcomes. Establish technical standards, mentor data scientists, and collaborate with cross-functional stakeholders to drive enterprise AI strategy.
Staff Data Scientist
Build and maintain the product data foundation while partnering with product teams to define instrumentation and data models. Drive strategic decision-making through deep-dive analyses, experimentation, and the development of scalable, self-serve dashboards.
Senior Data Scientist
The Senior Data Scientist will translate mission questions into analytical approaches and develop AI-enabled capabilities for federal enterprise data modernization. They will perform statistical analysis, build predictive models, and deliver actionable insights to stakeholders through visualizations and reports.
Data Scientist II (Soccer)
Develop and maintain statistical and machine learning models to assist professional soccer clubs with player recruitment and performance analysis. Collaborate with engineering teams to deploy these models into production and communicate technical insights to client stakeholders.
Senior Data Scientist
The Senior Data Scientist is responsible for architecting and deploying advanced machine learning solutions within the Microsoft cloud ecosystem to drive strategic healthcare decisions. They will lead model governance, ensure regulatory defensibility, and mentor team members on analytical best practices.
Principal Data Scientist, Recommendations
You will lead the development of advanced recommendation systems and creative intelligence models by integrating multimodal AI and causal inference. The role involves collaborating with engineering teams to deploy scalable production-grade data products and establishing rigorous analytical standards across the organization.
Senior Data Scientist
Design and implement advanced statistical modeling and machine learning solutions to address complex business requirements. Collaborate with cross-functional teams to translate analytical findings into actionable insights for stakeholders.
Senior Data Scientist
You will own, reverse engineer, and optimize complex statistical models written in R while developing new predictive features. Additionally, you will collaborate with data engineering teams and mentor junior staff to ensure high-quality, production-ready code.
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Research Consultant Data Scientist
You will collaborate with clients to develop data science solutions and analyze AI-ready clinical datasets to provide actionable insights. This involves leading analytics research from design to delivery, including statistical modeling, data curation, and documentation of findings.
NLP / LLM Data Scientist
Develop NLP and LLM pipelines to abstract relevant clinical information from unstructured and structured healthcare data. Collaborate with the data science team to curate AI-ready datasets and support model experimentation and validation.
Principal Data Scientist
Design and build scalable NLP enrichment pipelines to extract entities, claims, and summaries from scientific text. Own the end-to-end model lifecycle, including evaluation, production deployment, and collaboration with data engineers.
Principal Data Scientist
The Principal Data Scientist will lead the design and deployment of complex machine learning models and define the technical strategy for the company's modeling ecosystem. They will also partner with senior leadership to shape the data science roadmap and mentor team members to foster a culture of rigorous learning.
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