Role Description As a Data Scientist working on Algorithms in Community Support (CS), you will have the opportunity to collaborate with a strong team of engineers, product managers, designers, and operation agents to enable personalized, fair, and exceptional experiences for guests and hosts using advanced LLM/ML modeling. In this role, you'll partner closely with the tech lead to tackle significant components of high-impact projects, shaping and influencing AI-powered products, differentiated service experiences, and operational optimization strategies. You’ll work on high-impact projects like: - Implementing advanced techniques to automate the LLM evaluation process with high efficiency and quality. - Scaling high-quality synthetic datasets curation across various CS domains for training and evaluating LLM. - Building LLM/ML models to understand customer issues based on diverse datasets and identify failure modes and opportunities for improvement. - Building personalization models to offer differentiated experiences and maximize business impact. Qualifications - 2+ years of relevant industry experience (e.g. data/ML scientist, tech lead, junior faculty). - Master’s degree or PhD in relevant fields. - State-of-the-art knowledge of AI/ML models. - Strong fluency in Python/R and SQL; observation causal inference skill is a plus. - Proven ability to communicate clearly and effectively to audiences of varying technical levels. - Ability to translate complex findings and results into compelling narratives that drive impact. - Excellent project management, communication, and collaboration skills. - A product-oriented mindset, with the ability to apply conceptual and innovative thinking to develop and implement solutions that consider the user experience. Requirements - Identify high-impact business opportunities through data exploration and model prototyping. - Analyze structured and unstructured data to uncover meaningful insights and craft actionable proposals. - Build and deploy production LLM/ML models that contribute to the launch of data-driven products. - Build strong relationships with cross-functional partners across Product, Design, Engineering, Operations, and Analytics. - Communicate learnings to leaders and stakeholders in a clear, compelling manner. - Think strategically about how to scale and evolve data science capabilities within your domain. Benefits - Base pay range: $151,000 — $175,000 USD. - Role may be eligible for bonus, equity, benefits, and Employee Travel Credits. Your Location This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. You must live in a state where Airbnb, Inc. has a registered entity. Our Commitment To Inclusion & Belonging Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, allowing us to attract creatively-led people and develop the best products, services, and solutions. All qualified individuals are encouraged to apply. We strive to provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation, please contact us at reasonableaccommodations@airbnb.com.

• Develop new business and expand market presence in the Data Center market. • Drive incremental revenue growth through proactive customer engagement and opportunity development. • Promote cross-brand solutions and build strong relationships with key customers. • Execute strategic account penetration plans to expand company presence. • Gather and communicate market insights to internal stakeholders. • Maintain CRM hygiene and provide sales activity reports.

• Lead end-to-end technical delivery for data and AI engagements, from solutioning through execution • Serve as a trusted technical advisor and primary point of contact for client stakeholders • Own solution architecture and technical design decisions across data platforms • Drive stakeholder management across business and technical audiences, including C-suite/executive presentations • Build and present technical solutioning decks (PowerPoint) for client and internal audiences • Guide teams on agentic delivery approaches and modern AI-driven delivery models • Partner with sales/pre-sales teams on proposals and technical solutioning as needed

Role Description As a Senior Data Scientist of Medicaid Quality Analytics (UHC Government Programs), you will maintain and continue to reimagine the foundational metrics and analytics surrounding quality at UHG, making them more actionable, transparent, accurate, and flexible. The role will integrate new relationships around the company, new data sources, and new methods/technology along the way. We are seeking an experienced Senior Data Scientist to support our value-based care program in Medicaid lines of business. You will serve as the primary analytical partner to our strategy and partner team, translating complex program requirements into rigorous data models, actionable insights, and implementable solutions. You will enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges. Primary Responsibilities: - Develop analytical frameworks to support program design decisions and implementation - Perform data analytics to identify insights that can be incorporated into strategic recommendations for improving member care and to drive quality measure performance improvements - Apply causal inference methodologies to evaluate program impact and generate insights to inform future program design iterations - Collaborate with analytics, reporting, network management, and business stakeholders to deliver scalable, high-impact solutions - Clearly communicate findings and recommendations to a range of stakeholders - Proactively communicate risks, trade-offs, and limitations of analytical approaches Qualifications - 3+ years of professional experience developing analytical solutions using techniques such as machine learning, simulations, hypothesis testing, experimental design etc. - 3+ years of professional experience with SQL, Python, PySpark and large-scale cloud-based data platforms (e.g., Snowflake, Databricks) - Advanced level of problem-solving skills and the ability to collaborate effectively across cross-functional teams Requirements - Bachelor’s Degree (or higher) in a quantitative field such as Statistics, Health Economics, Mathematics, Computer Science, or related disciplines - Strong understanding of Medicaid/DSNP products or the healthcare industry - Strong relationship building skills with internal stakeholders and operational teams to drive alignment and outcomes - Strong communication skills, with the ability to present program objectives, processes, and performance to diverse audiences Benefits - Comprehensive benefits package - Incentive and recognition programs - Equity stock purchase - 401k contribution (all benefits are subject to eligibility requirements) Company Description At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location, and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups, and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.