• Dig into experiment results to surface high-impact personalization opportunities; translate what you find into crisp scientific problem formulations that balance rigor with speed-to-learning. • Work closely with product managers, engineers, operations, legal, and privacy partners to align on ML requirements, de-risk design decisions, and gather requirements on explainability and compliance. • Hands-on develop, evaluate, and ship ML models and data pipelines at scale—batch and real-time, structured and unstructured—using Airbnb’s paved-path tooling and AI native mindset • Prototype and iterate quickly: turn a new idea into a working model in a prototype, get early signals from an experiment, then productionize what works. You move fast and don’t wait to be asked. • Present findings and proposals at team reviews and to technical, product, and executive stakeholders—making complex ML results legible without dumbing them down, and generating conviction on the roadmap ahead. • Stay current with the research community; draw on state-of-the-art advances in recommendation systems, LLMs, and personalization to raise the bar for what the team ships. Occasionally publish externally or present at conferences to advance Airbnb’s scientific standing.

• You will drive the ongoing development and enhancement of TransUnion’s in-house Insurance Analytics platform (InsureR), applying advanced expertise in machine learning, mathematical programming, and software development to deliver scalable, high-quality solutions. • You will enhance the usability and effectiveness of analytic tools by contributing to UI/UX improvements that enable better user experiences and adoption. • You will provide hands-on regional support, partnering with teams to troubleshoot and resolve issues within local analytic environments, ensuring continuity and performance. • You will play a key role in supporting global Data Science and Analytics (DSA) and Insurance Analytics teams, strengthening critical capabilities that power enterprise-wide analytics solutions. • Lead the development of analytic solutions using languages such as C++, R, Python, SQL, Hive and Spark, formalizing some of these efforts into repeatable process improvements. • Assist Global Technology with maintenance of the tools and frameworks used by analysts on the high-performance computing (HPC) cluster and be a lead representative of the Data Science Development team in projects led by Global Technology as a subject matter expert on machine learning and scientific computing. • Own data science consulting responsibilities for a variety of regions, working to identify strategies and opportunities to test and adopt TransUnion’s analytic products and services. • Contribute to research and innovation initiatives in collaboration with other DSA peers and may lead small analytic research teams or manage research interns on a project basis, as needed. • You will participate in the mentoring and training of junior colleagues, fostering a high-performance culture and cultivating an environment that promotes excellence and reflects the TransUnion brand.

• Lead and develop a team of Product Data Analysts and an embedded Data Scientist through coaching, prioritization, and hands-on analytical leadership • Establish clear expectations and quality standards for product analytics, experimentation, and data science work • Build scalable operating processes for intake, prioritization, stakeholder communication, and cross-functional collaboration • Partner with Product and Engineering leaders to support data-informed product strategy and decision-making • Help teams connect product behavior to activation, adoption, engagement, retention, and customer value • Guide experimentation strategy and ensure rigorous A/B testing methodologies and actionable interpretation of results • Improve product metrics and scorecards that measure product health, workflow usage, launch performance, and customer outcomes • Enable thoughtful self-service analytics through tools such as Metabase, Amplitude, Secoda, and dbt • Partner cross-functionally with Analytics Engineering, Data Engineering, Engineering, and ML/AI teams to improve ownership clarity and data quality • Translate complex analysis and data science work into clear, decision-oriented insights for technical and non-technical stakeholders • Identify practical, high-impact opportunities for predictive modeling, classification, recommendation systems, and AI-enabled product intelligence • Help stakeholders distinguish between meaningful data science opportunities and lower-value or overly speculative work • Contribute directly to high-priority analyses, ambiguous product questions, and strategic initiatives when needed • Protect the team from low-leverage work while creating space for higher-impact analytical and strategic contributions

Title: QC Scientist II Location: St. Louis Missouri United States of America Full time Remote You'll perform sophisticated analyses to ensure product quality and safety in our laboratories. As a QC Scientist II, you'll conduct complex analytical testing to support GMP manufacturing of biopharmaceutical products, from early-stage clinical development through commercial release. You'll work with analytical instruments and technologies while making a meaningful impact on patient health through precise quality control testing. Working with cross-functional teams, you'll execute validated test methods, participate in method development and validation activities, investigate out-of-specification results, and maintain detailed documentation of analyses. You'll contribute to continuous improvement initiatives and help establish robust analytical processes while adhering to cGMP requirements and safety standards. How will you get there? - Advanced degree with no prior experience, or Bachelor's degree with 2 years of experience in a GMP regulated laboratory environment performing analytical testing - Preferred Fields of Study: Chemistry, Biology, Biochemistry, or related scientific field - Expertise in analytical techniques such as HPLC, GC, CE, ELISA, PCR, and other bioanalytical methods - Proficient in aseptic techniques and environmental monitoring procedures - Strong knowledge of cGMP regulations and quality control requirements - Experience with laboratory information management systems (LIMS) and quality management systems - Excellent documentation practices and attention to detail - Strong problem-solving and analytical skills - Ability to work both independently and collaboratively - Proficiency with Microsoft Office applications - Strong written and verbal communication skills - Ability to lift up to 30 pounds and stand for extended periods - Willingness to wear required PPE including lab coat, safety glasses, and gloves - May require flexible scheduling including occasional weekend work - Experience with method validation and transfer activities preferred - Knowledge of data integrity requirements and good documentation practices - Demonstrated ability to investigate out-of-specification results and author technical reports