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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Data Scientist - **Company:** Texas Children's Hospital - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $160,000.0 - $170,000.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Data Analysis, Cloud Computing, Databases, Machine Learning, Unstructured Data, Google Cloud, Large Language Models, Deep Learning, Information Technology, Data Analytics, Performance Monitor, Feature Selection, Machine Learning Operations, Virtual Agents - **Published:** August 30, 2026 - **Apply:** https://eohh.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX/jobs/preview/426176 ## About the Role * Master's degree in data science, mathematics, computer science, statistics, engineering, analytics, life sciences, economics, finance, business or a specific healthcare field (such as nursing, pharmacy, respiratory, etc.) required * Ph.D. preferred * 5 years' experience in data science, data analytics, business analysis, data modeling, statistical analysis, statistical modeling, or machine learning, including 2 years healthcare industry experience required * A PhD may substitute for two years of experience. * Two years of licensed, clinical healthcare experience may substitute for 2 years of experience ## Description * Analyze large, complex, and noisy structured and unstructured datasets to uncover meaningful patterns, generate actionable insights, and drive data-informed decision-making. * Establish data quality standards and lead data preparation efforts, including profiling, validation, cleansing, and feature engineering activities. * Design, develop, validate, and optimize advanced statistical, optimization, machine learning, and AI models, including regression, classification, clustering, natural language processing, deep learning, and generative AI applications. * Analyze large, complex, and noisy structured and unstructured datasets to uncover meaningful patterns, generate actionable insights, and drive data-informed decision-making. * Lead the development of descriptive, diagnostic, predictive, and prescriptive analytics solutions, partnering with data architects, engineers, clinicians, and business stakeholders to ensure scalable and impactful outcomes. * Architect and operationalize predictive models and advanced analytical solutions that address critical clinical, operational, and strategic business challenges. * Provide end-to-end ownership of data science initiatives, from problem definition and stakeholder alignment through model deployment, monitoring, maintenance, and continuous improvement. * Collaborate with clinical, operational, and executive stakeholders to identify opportunities where data science, AI, and machine learning can improve patient outcomes, operational efficiency, and organizational performance. * Translate complex analytical findings into compelling narratives and executive-level presentations that drive understanding, alignment, and action among non-technical audiences. * Develop intuitive and impactful visualizations that effectively communicate complex relationships, trends, and insights to diverse stakeholder groups. * Serve as a trusted advisor and subject matter expert, providing statistical, analytical, and AI guidance to project teams, leadership, architects, and developers. * Apply domain expertise to guide analytical approaches, feature selection, model design, and evaluation strategies while ensuring alignment with business and clinical objectives. * Mentor and coach data scientists and analysts, promoting best practices in model development, experimentation, reproducibility, and responsible AI. * Lead model governance activities, including performance monitoring, drift detection, validation, explainability, and compliance with organizational AI policies and standards. * Estimate effort, manage priorities, communicate project status, and proactively identify and mitigate risks throughout the project lifecycle. * Champion Agile practices and contributes to strategic planning, iteration execution, backlog refinement, retrospectives, and continuous process improvement initiatives. * Evaluate and incorporate emerging technologies, advanced analytics techniques, and AI innovations to enhance organizational capabilities and accelerate value delivery., Artificial Intelligence * Automotive * Computer Vision * Information Technology * Internet of Things * Logistics * Software Lead evaluation and data strategy for advanced AI, vision, and perception systems. Define metrics, build evaluation frameworks, audit artifacts, prioritize fixes, and translate model behavior into product decisions and data-improvement loops to ensure production readiness and downstream usefulness. Top Skills: Computer VisionDeep LearningDetectionEvaluation FrameworksGenerative AiGeospatial AiLabel Quality AssessmentMappingMultimodal AiPerception SystemsSegmentationSimulationStructural Similarity (Ssim)Synthetic DataTemporal ConsistencyVideo Quality Metrics GoodRx, Lead and deliver productionized ML solutions across audience, marketing, pharma direct, and employer analytics. Design segmentation, propensity, attribution, and identity models; apply causal inference and experimentation; operationalize models with MLOps; evaluate generative AI/LLM use cases; set technical roadmap and mentor data scientists to drive measurable business impact. Top Skills: AWSAzureDatabricksEmrExperimentation PlatformsFeature StoreGCPGenerative AiLlmsMlopsModel MonitoringNumpyPandasPostgresPysparkPythonPyTorchRedshiftScikit-LearnSparkTensorFlow Tiger Analytics Lead Data Scientist 3 Days Ago In-Office or Remote Senior level Senior level Big Data * Analytics * Business Intelligence * Big Data Analytics Designs and deploys advanced AI and machine learning solutions, including AI agents, RAG systems, analytical models, and data products on Google Cloud Platform. Responsibilities include preparing structured and unstructured data, developing AI agent tools, applying NLP and deep learning, collaborating with customers and stakeholders, generating business insights, and communicating analytical results. Top Skills: Deep LearningGitGoogle Cloud PlatformLangchainLarge Language ModelsMachine LearningMulti-Agent SystemsNatural Language ProcessingPrompt EngineeringPythonRetrieval-Augmented GenerationVector Databases What you need to know about the Colorado Tech Scene With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation. Key Facts About Colorado Tech * Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey) * Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3 * Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech * Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook) * Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures * Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [The Cloud is Calling: Answer with In-Demand Skills](https://www.wearedevelopers.com/videos/945-the-cloud-is-calling-answer-with-in-demand-skills) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Cloud Run- the rise of serverless and containerization](https://www.wearedevelopers.com/videos/106-cloud-run-the-rise-of-serverless-and-containerization) ## Related Articles - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Got AI ideas but no money? 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