Lead Data Scientist

• 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

• 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

Lead the design, development, deployment, and governance of advanced analytics, machine learning, and AI solutions using large healthcare datasets. Responsibilities include data preparation, statistical and predictive modeling, model monitoring, explainability, visualization, stakeholder communication, and translating findings into clinical and operational improvements. The role also mentors data professionals, advises leaders, manages initiative priorities and risks, and promotes responsible AI and Agile practices. The summary above was generated by AI

Since 1954, Texas Children’s has been leading the charge in patient care, education and research to accelerate health care for children and women around the world. When you love what you do, it truly shows in the smiles of our patient families, employees and our numerous accolades such as being consistently ranked as the best children’s hospital in Texas, and among the top in the nation by U.S. News & World Report as well as recognition from Houston Business Journal as one of this city’s Best Places to Work for ten consecutive years.

Texas Children’s comprehensive health care network includes our primary hospital in the Texas Medical Center with expertise in over 40 pediatric subspecialties; the Jan and Dan Duncan Neurological Research Institute (NRI); the Feigin Tower for pediatric research; Texas Children’s Pavilion for Women, a comprehensive obstetrics/gynecology facility focusing on high-risk births; Texas Children’s Hospital West Campus, a community hospital in suburban West Houston; Texas Children’s Hospital The Woodlands, the first hospital devoted to children’s care for communities north of Houston; and Texas Children’s Hospital North Austin, the new state-of-the-art facility providing world-class pediatric and maternal care to Austin and Central Texas families. We have also created Texas Children’s Health Plan, the nation’s first HMO focused on children; Texas Children’s Pediatrics, the largest pediatric primary care network in the country; Texas Children’s Urgent Care clinics that specialize in after-hours care tailored specifically for children; and a global health program that is channeling care to children and women all over the world. Texas Children’s Hospital is affiliated with Baylor College of Medicine, one of the largest, most diverse and successful pediatric programs in the nation.

To join our community of 15,000+ dedicated team members, visit texaschildrenspeople.org for career opportunities.