• Analyze and model large, sometimes complex, datasets, including web traffic, user behavior, engagement funnels, and video and content metadata • Develop and deploy scalable machine learning models for forecasting, user segmentation, and content performance optimization tasks • Design, build, and maintain scalable ETL pipelines and workflows using GCP and BigQuery for data ingestion and transformation • Leverage machine learning and AI techniques to improve decision-making, including experimentation, ranking, scoring and automation use cases • Collaborate with product, business verticals, operations and engineering teams to align initiatives with technical and business objectives and KPIs • Build dashboards and visualizations that provide visibility into performance, tends and opportunities across the business • Translate insights into clear recommendations that influence strategy and prioritization to stakeholders • Optimize queries and workflows in SQL and Python for performance, reliability and efficiency • Continuously evaluate new capabilities and tools to improve efficiency, insight generation and business outcomes

• Provides CDM leadership for one or more assigned projects or indications dependent on size and scale of the project • Lead studies including (but not limited to) a combination of healthy volunteer and patient populations, multi-site, complex protocol design, strong client management required or reduced timelines • Demonstrates leadership and operational expertise in the strategic planning and delivery of CDM deliverables at program and/or project level • Management and oversight of vendor contracts, resourcing and budget management and oversight of vendor performance for assigned programs, and projects • Communicates and negotiates effectively with all other Program level team members • Primary point of contact for Clinical Data Management (CDM) • Provide oversight and expertise of external service providers or in-house teams to deliver quality data with compliance to study model procedures and standards; Responsible for proactive risk management and issue resolution/escalation connected to Clinical Data Management improvement or technology • Develops an understanding of CDASH and SDTM or other recognized industry standards and impact to programming team to ensure consistency of program level standards

• Lead large-scale government data projects, including cross-functional team coordination, client relationship management with federal agencies, and budget management. • Create and implement record linkage algorithms using Python, integrating administrative records and survey data to enhance the value of government agency data products. • Modernize outdated government data systems by transitioning legacy codebases from SAS/STATA to R/Python. • Develop and deliver educational materials and training programs on Python, R, and SQL coding best practices to enhance government agency staff capabilities. • Train and mentor government analysts at federal and state agencies, strengthening data science analytical capabilities across agencies. • Build and maintain interactive dashboard visualizations using tools like R Shiny to deliver dynamic, data-driven reports that inform agency leadership and policymakers in decision-making. • Conduct text analysis and natural language processing (NLP) to extract insights from unstructured data. • Author and contribute to federally funded reports and research papers documenting the impact of government data science initiatives.

• Lead the data science efforts behind planning and optimizing SIXT’s rental car fleet • Guide and mentor a team of 2-3 data scientists to deliver high-impact solutions • Act as a trusted advisor to stakeholders, helping them leverage data for strategic decision-making • Develop explainable long-term demand forecasts that drive fleet planning and investment strategies • Build optimization and simulation models to support data-driven fleet steering decisions • Collaborate with cross-functional teams to bring solutions to production