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The Data Scientist will build, train, and deploy machine learning models and LLM-powered applications to automate complex workflows. They will also conduct exploratory data analysis and create visualizations to provide actionable business insights.
You will be embedded in a core business unit to define key metrics, build reports, and run analyses to drive decision-making. You will own the analytical function end-to-end, from identifying business problems to delivering actionable recommendations to stakeholders.
You will build, evaluate, and apply data science solutions including predictive models and decision rules to support LATAM business outcomes. You will also collaborate with internal teams and clients to translate complex analytical insights into clear business recommendations.
The Data Scientist will build benchmark datasets and evaluation tasks for pathology foundation models while conducting statistical characterization of control datasets. They will also collaborate with pathologists to validate AI models and ensure results are grounded in tissue morphology.
The Data Scientist leads the development of advanced analytical models and algorithms to detect fraud, waste, and abuse in Medicare and Medicaid programs. They also design data pipelines, mentor analysts, and collaborate with stakeholders to provide actionable insights and ensure operational efficiency.
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The Data Scientist will develop, deploy, and maintain KPI trackers while building automated data pipelines and prototype models. They are responsible for monitoring production code and creating data visualizations to support experimental product features.
The Data Scientist will create and execute statistical models for educational projections and build automated reproducibility workflows. They are also responsible for conducting anomaly detection, sensitivity analysis, and producing technical reports based on complex datasets.
Develop new measurements, KPIs, and models to describe internet quality of service and experience. Collaborate with data engineers and product managers to transform methodologies into viable data products.
The Data Scientist will partner with stakeholders to translate business questions into analytical approaches and develop predictive models to support growth strategies. They will manage the end-to-end data science lifecycle, including data extraction, cleaning, feature engineering, and the delivery of actionable insights.
The Data Scientist is responsible for analyzing complex clinical and operational data to uncover patterns and develop data-driven applications. They will design, implement, and evaluate predictive models and algorithms to solve business problems and optimize performance metrics.
The Data Scientist will develop and refine machine learning and AI models while applying natural language processing techniques to unstructured data. They will also collaborate within an Agile team to build data visualizations and communicate findings to stakeholders.
The Data Scientist will translate complex enterprise data into actionable intelligence to optimize operations and support business growth. They are responsible for end-to-end data science initiatives, including problem framing, model development, and cross-functional collaboration to drive evidence-based decision-making.
The Senior Data Scientist will develop and deploy machine learning models for time-series telemetry and operational system data to support health monitoring and anomaly detection. They will collaborate with engineering teams to transition analytical solutions from research into operational environments for DoD customers.
You will own the analytical infrastructure for a clinical AI system, including drift detection, safety-weighted quality scoring, and health scoring analysis. You will also collaborate with engineering teams to evaluate RAG performance and clinical skills library accuracy.
Develop infrastructure for trader automation and high-performance systems to optimize simulation outputs. Analyze live-streaming data to build, test, and deploy production-grade machine learning models.
The data specialist is responsible for managing Customer Care EMEA data analysis and reporting to track performance across direct and indirect markets. They will also identify trends, maintain data integrity, and provide actionable insights to department leaders to support business objectives.
The Data Scientist will analyze and validate new data sources to uncover business insights and support strategic initiatives. They will collaborate with cross-functional teams to translate business requirements into actionable analytical solutions.
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The Data Scientist will embed with AI Factory teams to ensure AI and GenAI applications are safe, measurable, and transparent. They will execute Responsible AI evaluations, develop benchmarking methods, and contribute to the research and prototyping of emerging RAI techniques.
Lead and manage data science initiatives within the Digital Operations team, overseeing projects from inception to deployment. Mentor citizen data scientists and collaborate with cross-functional teams to develop advanced analytics models that drive operational improvements.
The Data Scientist will design and develop data solutions and predictive models to evaluate health metrics and future outcomes. They will utilize programming skills to analyze large datasets and support the deployment of insights across multiple business channels.
The Data Scientist will design, develop, and deploy AI and informatics solutions to support the Defense Health Agency's mission. They will collaborate with cross-functional teams to optimize machine learning models and integrate them into existing search products.
You will build and improve the intelligence layer, routing heuristics, and analytics products that power the model marketplace. You will also define product metrics and collaborate with engineering teams to translate data insights into customer-facing features.
Design, build, and deploy machine learning and LLM-based systems to drive personalization and improve educational programs. Manage the end-to-end data science lifecycle from problem definition to deployment and monitoring.
You will work with the research team to develop applied AI, infrastructure, and tooling to democratize Generative AI. Responsibilities include building RAG pipelines, creating Python libraries for AWS, and implementing neural network architectures.
The Data Scientist will design and implement scalable machine learning and data engineering solutions to support clinical development and drug research. They will collaborate with cross-functional teams to translate business requirements into robust analytical tools and contribute to process improvement initiatives.
Design, develop, and monitor statistical and time series models to forecast passport demand for the Department of State. Translate complex analytical findings into actionable insights for both technical and non-technical stakeholders.
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You will lead applied AI projects from concept to impact, acting as an internal consultant to help teams deploy practical machine learning and generative AI solutions. You will also design robust experiments, build evaluation pipelines, and bridge the gap between research and production to ensure scalable, secure AI systems.
You will build and own the first recommendation features for the platform, surfacing relevant connections and opportunities for users. You will also partner with backend engineering to implement ML practices and evaluate performance through offline metrics and online experiments.
Design and evaluate AI/ML solutions tailored to VA healthcare operations while ensuring alignment with federal standards and mission objectives. Collaborate with stakeholders to translate complex healthcare challenges into actionable AI/ML roadmaps and governance frameworks.
Design, build, and evaluate classical machine learning models to translate complex datasets into actionable business insights. Collaborate with engineering teams to maintain data pipelines and communicate model performance to stakeholders.
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