• Shape the data science roadmap: Identify measurement, audience, and AI capabilities that create value in each specialty market, and build a function that scales with the business. • Build causal lift measurement: Own the framework that demonstrates how HCP engagement drives real-world prescribing change — matched and synthetic controls, lookalike populations, methodologies defensible to pharmaceutical medical affairs and legal, and repeatable across therapeutic areas. • Build decisioning and personalization systems: Develop next-best-action, recommendation, and audience intelligence models that personalize the HCP experience and identify high-value audiences for sponsor targeting at scale. • Apply LLMs and generative AI across the workflow: Use them for structured extraction, feature engineering, insight generation, and HCP profile enrichment — wherever they cut time-to-insight without compromising rigor. • Translate findings into commercial products: Turn model outputs into sponsor-facing measurement reports, audience intelligence packages, and ROI dashboards, and present methodology directly to pharmaceutical medical affairs and commercial teams. • Own the ML platform layer: Feature engineering, experiment tracking, model registry, A/B and holdout frameworks, and production monitoring on the company's cloud and data warehouse stack.

• Join us in redefining what it means to work for a CRO. • Work closely with the multidisciplinary project team across the life cycle of the project to ensure data management is thoughtfully planned and delivered in a consistent, timely, and high quality manner. • Key contributor to project success through development and utilization of innovative tools to help automate manual tasks and identify data trends in a timely fashion. • Constant collaboration with project peers, particularly biostatisticians, statistical programmers, and clinical operations personnel. • Independently perform and oversee completion of data management tasks to ensure clinical database design supports project outcomes. • Proactively clean clinical trial data and mitigate risks. • Effectively communicate data-related decisions to sponsors and ensure data management activities follow all applicable standards and project-specific procedures.

• This is a senior operational leadership role with responsibility for compliance, governance, data integrity and operational assurance across the business. • You’ll own how compliance and operational governance are designed, embedded and continuously improved across Tiro. • You’ll work across the full operational ecosystem: - apprenticeship funding compliance - governance and operational controls - audit readiness and assurance - learner data integrity and reporting - ILR, PDSAT and funding submissions - compliance operations and process design - systems improvement and automation - operational risk management - cross-functional operational alignment - regulatory readiness across the learner journey

Role Description Courtyard is hiring a Staff Data Scientist to own pricing across our portfolio collectibles. Pricing is load-bearing at our business — it touches revenue and operational decisions daily, with direct financial consequences. This role builds and improves our pricing methodology across a large, heterogeneous catalog of often-thinly-traded assets. You'll partner closely with engineering on our pricing pipeline, with operations on real-world feedback loops, and with the rest of the data team on measurement and evaluation. - Own and evolve pricing models across asset categories, including designing approaches for new and sparsely-traded asset types - Build data quality and anomaly detection systems for adversarial and corrupted external data inputs - Ship production code into our pricing pipeline and services in partnership with engineering - Partner with operations, finance, and product on pricing-related decisions across the company Qualifications - Strong foundations in applied statistics, economics, or signal processing — robust estimation, state-space models, sparse/hierarchical data, anomaly detection, and uncertainty quantification - Backgrounds of interest: quantitative trading, fraud/anomaly detection, computational neuroscience or physics — in addition to traditional pricing or marketplace DS - Track record owning a production scoring or pricing system end-to-end - Production-grade Python and SQL; comfort working inside a real codebase and shipping models into continuously-running services - Experience with sparse, irregular, heterogeneous, or adversarial data - Pragmatism about modeling — right tool for the data you actually have - 5+ years of industry experience or Ph.D. - Bonus: experience sourcing heterogeneous external data via API or scraping Benefits - A dynamic and engaging environment focused on fostering real growth and innovation - Opportunities to create amazing products that our customers truly love and value - Comprehensive health insurance packages with dependent coverage - Competitive salary with ample opportunities for career advancement and development - Enjoy the flexibility of a fully remote work environment - 401(k) plan with a 4% employer match to help you plan for the future - $100 monthly dogfooding stipend to support trying out our products firsthand - Access to employee wellness programs designed to support your overall well-being