• Own and execute the global sourcing process, systems, and analytics strategy across GE Vernova • Define and drive the Source‑to‑Pay future‑state operating model , ensuring simplification, standardization, scalability, and strong governance • Lead enterprise sourcing transformation programs from concept through execution, with measurable business outcomes • Conduct sourcing maturity assessments across Business Units and lead targeted improvement roadmaps • Own and evolve the global sourcing systems landscape, including platforms such as SupplierConnect, Sourcegate+, Grid Fusion VMR, Sourcing360, and ERP integrations • Lead sourcing data ingestion into the enterprise data lake; define common metrics, dashboards, and insights • Build scalable analytics capabilities to improve decision‑making, savings identification, compliance, and risk visibility • Define and execute the digital and GenAI roadmap for sourcing , from use‑case identification through deployment and adoption • Partner with IT, finance, legal, and external vendors to modernize sourcing tools and workflows • Drive user adoption, change management, and capability building to fully capture technology value • Benchmark external best practices and emerging technologies to accelerate sourcing maturity • Lead high‑visibility sourcing initiatives, including: GenAI applications, Risk management programs, Commodity and category playbooks, Should‑costing and productivity initiatives, Process excellence and Lean agendas • Own CPO‑level governance , including Sourcing Councils, leadership operating rhythms, and enterprise reviews • Prepare executive‑ready materials for ELT, Board, and senior leadership forums • Lead, coach, and develop a global team responsible for sourcing transformation, systems, and analytics • Drive enterprise capability‑building programs (digital, GenAI, sourcing foundations, analytics fluency) • Embed Lean, Kaizen, and continuous improvement principles across sourcing teams • Foster a culture of accountability, data‑driven decision making, and innovation

• Design, build, and ship production-grade data and ML systems • Apply analytical, statistical, and machine learning techniques to collect, analyze, and interpret large cybersecurity data sets • Develop, test, and maintain backend services, APIs, and data pipelines • Collaborate closely with software engineering, product, detection engineering, and security engineering teams • Own code quality across the stack • Operationalize models with appropriate monitoring, versioning, retraining, and rollback strategies (MLOps) • Contribute to product, services, and detection engineering roadmap by identifying where data science and engineering investment will measurably improve outcomes for analysts and clients • Develop data-driven solutions that ship

• Own the proprietary model flywheel with 90M+ assigned programs and build a proprietary therapeutic AI model • Lead AI product delivery across all AI bets and drive design, development, deployment, and continuous improvement of AI systems • Define and execute the AI/ML technical roadmap by collaborating with Product and Content to prioritize clinical and product needs • Establish trust-by-design as a standard by ensuring transparency and auditability in all AI features • Own the clinical AI safety and quality framework, ensuring HIPAA-compliant data handling alongside Legal • Drive cross-functional alignment and work closely with various teams to embed AI in workflows • Continuously evaluate emerging developments in LLMs and clinical AI for practical advantages

Role Description Supports U.S. Customs and Border Protection in the Washington DC area. As a Data Scientist, with little or no supervision, apply expert knowledge in statistical analysis, complex data mining, and artificial intelligence to make value out of data. - Provide consulting relating to the data mining and analysis of data from a range of sources to transform raw data into concise and actionable insights. - Design and implement data-driven solutions, with specific focus on advanced analytical methods, data models, and visualizations. - Develop quantitative simulations and models to provide descriptive and predictive analytics solution recommendations. - Identify trends and problems through complex big data analysis. - Maintain current in emerging tools and techniques in machine learning, statistical modeling, and analytics. Qualifications - MUST HAVE Six (6) years of relevant experience in applied research, big data analytics, statistics, applied mathematics, data science, computer science, operations research or other closely related other quantitative or mathematical discipline. - At least three (3) years of direct experience in machine learning. - Must have an Advanced Degree (Master's or PhD) in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research or other closely related other quantitative or mathematical discipline. A PhD degree may be substituted for up to three (3) years of relevant experience. - Demonstrates knowledge of data mining methods, databases, data visualization and machine learning. - Ability to communicate analysis techniques, concepts and products. - Ability to develop data-driven solutions, data models, and visualizations. Requirements - Expertise using Qlik to embed visualizations into webpages. - Familiarity with Databricks or similar cloud-based distributed database technologies. - Familiarity with PySpark and Python. - Comfortable developing complex SQL queries to extract, transform, and load data. Benefits - Supportive work environment with established parental, bereavement, and PTO policies. - Prioritization of a healthy work-life balance - with reasonable hours, solid pay, low travel, and extremely flexible time off. - Continuous learning opportunities, including weekly "Tech Talks" and provided lunch at office locations. Company Description Elder Research is a fast growing consulting firm specializing in predictive analytics. Being in the data mining business almost 30 years, we pride ourselves in our ability to find creative, cutting edge solutions to real-world problems. - Team members are passionate, curious, life-long learners. - Values include humility, servant-leadership, teamwork, and integrity. - Encourages self-motivation, innate curiosity, and strong teamwork. - Elder Research is an Equal Opportunity Employer. - Many positions require US Citizenship.