• Lead complex analytics initiatives requiring advanced scripting and analytical methods. • Design, build, and maintain analytical solutions using SQL, Python, and R. • Contribute across the full analytics lifecycle: discovery, design, development, validation, and refinement. • Define and enforce enterprise-wide analytics and coding standards, including governance of citizen-developed solutions. • Conduct code reviews to ensure quality, performance, maintainability, and alignment with standards. • Develop reusable Python and R packages, shared SQL patterns, and analytical frameworks. • Support business partners with advanced analytical needs beyond standard BI reporting. • Apply advanced statistical and analytical techniques to solve complex business problems. • Selectively apply AI/ML techniques where they deliver clear business value. • Collaborate with Data Engineers and Architects to ensure alignment with data models, pipelines, and governance. • Clearly communicate insights, tradeoffs, and recommendations to technical and non-technical stakeholders. • Stay current with emerging analytics technologies and assess applicability.

• Develop end-to-end AI solutions, from discovery through deployment and monitoring, including modeling (NLP/ML/LLMs), APIs, and integrations. • Design and evolve chatbots and conversational channels using NLP/NLU, driving continuous improvement. • Build integrations via APIs/JSON, microservices, and event-driven architectures, and implement MLOps with pipelines, versioning, and observability. • Analyze conversational data and recommend actions based on KPIs, ensuring quality through testing and validation. • Work in agile methodologies, collaborating with business, design, engineering, and security teams.

Chaos Labs builds technology that powers safer, more accessible financial markets. Our risk management systems, oracles, and AI models secure over $200 billion in assets across protocols including Aave, Jupiter, and GMX, processing more than $5 trillion in transaction volume. We recently launched Chaos AI, a financial intelligence platform that transforms complex market data into actionable insights and brings institutional-grade intelligence to everyone. The Role: We’re looking for a Senior AI Data Scientist to lead the design, evaluation, and evolution of the agentic systems behind Chaos AI. This role sits at the intersection of LLMs, financial data, and decision systems. You’ll own how models reason over data, how agents coordinate and make decisions, and how we rigorously measure quality, correctness, and risk in production AI workflows. You’ll work closely with product, engineering, and research to move from experimentation to reliable, scalable AI systems that operate under real financial constraints. Responsibilities: Design and own single and multi-agent systems that reason, plan, and act over complex financial workflows Define agent behavior, memory, and tool-use strategies with a strong emphasis on correctness and controllability Develop and maintain LLM evaluation frameworks covering accuracy, faithfulness, latency, cost, regressions, and edge cases Design structured prompting, schemas, and tool-calling strategies for production LLM systems Build and operate MCP servers, including schema design, permissions, and safety boundaries Analyze model behavior and failure modes, turning qualitative issues into measurable signals Partner with engineering to productionize research insights: observability, retries, state, and reliability Optimize system performance and cost across models, workflows, and agent architectures Mentor engineers and data scientists, setting best practices for applied LLM and agentic systems 6+ years experience in data science, applied ML, or AI-focused software roles 3+ years building production AI / ML systems , with ownership beyond experimentation Deep hands-on experience with LLMs , agentic patterns, and tool-calling systems Strong Python skills and comfort working close to production systems and APIs Experience with RAG pipelines, embeddings, and vector databases Strong intuition for model behavior, trade-offs, and failure analysis Preferred Qualifications: Our Perks: Paid Time Off - 21 vacation days + 7 sick days + 8 observed U.S. company holidays Health Coverage - 100% employer-paid options (medical, dental & vision) for you and your dependents FSA / HSA Options - depending on selected health insurance plan Parental Leave - thoughtful policy to support your family needs Wellness Programs - OneMedical, Teladoc, Talkspace, and EAP Career Growth - opportunities in a rapidly expanding, global technology company with personalized professional development Pre-tax Commuter Benefits Compensation & Equity - competitive package aligned with growth and merit Salary and seniority level commensurate with experience (Range: $130K–$150K)

Job Description At Edmunds we're driven to make car buying easier. Ever since we began publishing printed car guides in the 60's, the company has been in the business of trust, innovating ways to empower and support car shoppers. When Edmunds launched the car industry's first Internet site in 1994, we established a leadership position online and have never looked back. Now, as one of the most trusted review sites on the Internet, millions of visitors use our research, shopping and buying tools every month to make an easy and informed decision on their next car. For consumers, we bring peace of mind. For dealers, we make tools to help them solve their problems and sell more cars. How do we do it, you ask? The key ingredients are our enthusiastic employees, progressive company culture and cutting-edge technology. Want to join the team? Read on to find out how! What You're Applying For: The Data Science Team at Edmunds.com is seeking a Senior Data Scientist who will help us design and implement the next generation of data and AI driven product initiatives. You will dive deep into Edmunds' users and clients, as well as the automotive marketplace, to directly improve existing products and inspire new product experiences. We are committed to tackling the challenges of integrating Generative AI technology into the car buying experience. You will play a key role in developing ML & AI prototypes and production grade services that are integrated by the product engineers. Each project initiative will involve sound use of ML and/or AI models, carefully planned experiments, and innovative uses of Edmunds' vast data resources. We are looking for someone who is smart, creative, ambitious and able to communicate complex ideas to people from all technical backgrounds. We especially want someone who is excited to keep current with new advancements in Gen AI and use it to strategically optimize our product offerings for our customers and clients. Edmunds is committed to helping our people grow. We care about what we do and we care about our people. A demonstrated passion for research and technology will provide incredible growth opportunities and make this the best job you've ever had. What You'll Do : Engineering & Product Collaboration: Work closely with a team of engineers, data scientists and product managers to build scalable and high-impact ML and AI systems. Collaborate on the end-to-end development process, from ideation to deployment, ensuring that data-driven solutions are seamlessly integrated into our products and services. LLM Integration and Optimization: Oversee the integration and deployment of LLMs, including Retrieval-Augmented Generation (RAG) in an agentic framework, with a focus on optimizing model performance and scalability to enhance user experience and drive business results. Own the complete ML lifecycle-from problem framing through data sourcing, modeling, deployment, monitoring, and continuous improvement. Build, manage, and maintain reliable data pipelines and ML workflows. Ensure reproducibility through versioning, testing, documentation, and proper model lineage. What You Need : Bachelor's degree in a quantitative field preferred AND An advanced degree + 3-4 years of work experience in an analytics-related position OR 5+ years of work experience in a data science-related position Deep understanding of the data platforms in which you've previously worked Experience with deploying and scaling of machine learning models. This includes automating model training, optimizing runtime performance of models, and deployment processes to enable fast, reliable delivery of AI solutions in production environments. You are proficient in SQL, Python and ML frameworks with strong coding skills. Experience using data to intelligently optimize product performance The compensation range for this position is $137,000 - $189,000 per year. The base pay will take into account internal equity as well as job-related knowledge, skills, and experience among other factors. In addition, Edmunds offers full-time employees a comprehensive total rewards package including the benefits listed below. Edmunds Perks: Flexible time off 13 Paid Holidays Comprehensive Health Benefits (medical, dental, vision, life and disability) Flexible Spending Accounts (Employees) and Health Savings Accounts (Employee and Employer Contributions) 401K Plan with company matching at 100%, up to 6% of eligible salary with immediate vesting Stock purchase program CarMax vehicle discount Up to 4 months Paid Parental Leave HeartCash matches employee donations to the causes that are important to them 2 Days of Paid Time Off for time to dedicate to social impact causes FitCash covers a portion of gym or fitness activity fees Well-being sessions Employee Recognition Program On-going career development opportunities Pet insurance Sabbatical leave Education Reimbursement Pre-tax spending accounts for qualified transportation expenses Working @ Edmunds.com: Employees think it's a pretty great place to work and some pretty impressive publications think it is too: we have been recognized as one of the best places to work by Fortune Magazine, Great Places to Work, LA Business Journal, Newsweek, Computerworld, Built in LA, Inc. Magazine, The Wall Street Journal, Business Week Magazine, and Architectural Record. We've also been identified as one of the best workplaces specifically in Technology, for Diversity and Asian Americans, and as a Newsweek Most Loved Workplace for LGBTQ+ employees. If you're interested in learning more and joining our mission, we'd love to hear from you! E dmunds will consider for employment qualified candidates with criminal histories in a manner consistent with the requirements of all applicable laws.