Senior Staff Data Scientist - Simulation Capacity Optimization

Aera Technology is at the forefront of Decision Intelligence Platforms, recognized as a leader in the Gartner® Magic Quadrant™ for 2026. Our innovative technology empowers organizations to digitize, enhance, and automate their decision-making processes using cutting-edge AI and machine learning. Through our Aera Decision Cloud™, we assist some of the most renowned global brands in making more intelligent and rapid decisions. As a privately-held, VC-backed company, we boast a diverse, global team of over 400 skilled Aeranauts and are on an exciting growth trajectory. We are dedicated to delivering innovative Decision Intelligence solutions and services that empower enterprises to streamline their decision-making with precision and agility. Our commitment to generating value has made us the preferred partner for market leaders seeking to unlock previously unattainable opportunities. The Principal Data Scientist is a pivotal role in advancing Aera’s data science strategy. This position spearheads impactful machine learning projects, architects and implements scalable AI solutions, and ensures that our data-driven capabilities evolve in alignment with business objectives. As a thought leader, the Principal Data Scientist collaborates with Product, Engineering, and Client Success teams to address complex business challenges, enhance product intelligence, and steer the overall data science vision for the organization. The ideal candidate will reside in the San Francisco Bay Area and be available to work in the office with the Senior Vice President of Data Science and Chief Technology Officer at our headquarters in Mountain View three days per week.

Waymo is at the forefront of autonomous driving technology, aiming to be the most trusted driving partner globally. Originating from the Google Self-Driving Car Project in 2009, Waymo is dedicated to developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and prevent the loss of lives in traffic incidents. The Waymo Driver underpins our fully autonomous ride-hailing service and is adaptable across various vehicle platforms and use cases. With over ten million trips completed and over 100 million miles driven autonomously on public roads, Waymo is paving the way for safer and efficient transportation across 15+ states in the U.S.Waymo's Product Data Science team collaborates closely with Engineering, Product, and Operations to drive data-informed decision-making across the organization. We engage in high-impact projects that span quality assurance, operational efficiency, market analysis, and rider satisfaction, all aimed at scaling the Waymo Driver safely and effectively. Our team thrives on curiosity, adaptability, and a data-driven mindset.This position follows a hybrid work model, reporting directly to the Manager of Product Data Science.

Join Our Team as a Data Scientist at Otter.aiAt Otter.ai, we are on a mission to transform conversations into meaningful insights. As a Data Scientist in our Product Development team, you will play a pivotal role in harnessing the power of data to shape product strategies, enhance user engagement, and drive monetization efforts. Your analytical expertise will help us refine customer experiences, ultimately contributing to our overall success. If you are enthusiastic about leveraging data to foster business growth and want to be part of a forward-thinking team, we encourage you to apply and help us in our quest to make conversations more valuable.Key ResponsibilitiesCollaborate with Product teams to translate business objectives into actionable data-driven insights.Design and implement predictive models and analytical tools to assess product usage and customer behavior.Analyze large datasets to derive insights that inform strategies for user engagement and revenue generation.Conduct experiments to test hypotheses and evaluate the effectiveness of various product features and strategies.Work closely with cross-functional teams, including Product Management and Engineering, to integrate data insights into product development.

Waymo is a pioneering autonomous driving technology firm dedicated to becoming the world's most reliable driver. Originating as the Google Self-Driving Car Project in 2009, Waymo has been committed to developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and prevent countless lives lost to traffic accidents. The Waymo Driver fuels Waymo's fully autonomous ride-hailing service and is adaptable to various vehicle platforms and applications. With over ten million rider-only trips and autonomous driving experience across 100 million miles on public roads, in addition to tens of billions of miles in simulations across more than 15 U.S. states, we are setting new standards in safety and efficiency.The Planner Evaluation team is tackling one of the most critical challenges in autonomous driving: assessing and enhancing the quality of the software that controls the vehicle. We seek seasoned data-driven software engineers and data scientists to elevate how we assess and characterize changes in the Onboard software stack (including Planner and Perception).Your primary responsibility will be to streamline, validate, manage, and organize the most prevalent safety metrics at Waymo. This role will require deep collaboration with a diverse range of stakeholders to grasp the fundamental applications of these safety metrics. Through a comprehensive understanding of the data, you will provide expert recommendations on the best solutions and their interpretations. You will also validate and enhance metric quality to meet the expanding use cases of Waymo's products, including new platforms and territories. If you are passionate about autonomous vehicles and leveraging complex data to inform decision-making, this opportunity is for you!In this hybrid role, you will report to a Data Science Manager.

Join Coupang as a Staff Data Scientist specializing in Ads Analytics, where you'll drive data-driven decision-making to enhance our advertising strategies. In this dynamic role, you will analyze large datasets, develop predictive models, and collaborate with cross-functional teams to optimize ad performance.As a vital member of our analytics team, you will leverage advanced statistical techniques and machine learning algorithms to uncover insights that will shape our advertising initiatives. You will also present your findings to stakeholders, helping to guide our strategic direction.

Harness is at the forefront of AI-driven software delivery, founded by technologist and entrepreneur Jyoti Bansal, who previously founded AppDynamics, which was acquired by Cisco for an impressive $3.7 billion. With around $570 million in funding and a valuation of $5.5 billion, Harness is supported by top investors such as Goldman Sachs, Menlo Ventures, IVP, Unusual Ventures, and Citi Ventures. In a landscape where AI is revolutionizing code generation, the focus has shifted to enhancing the post-code processes, including testing, deployments, application security, reliability, compliance, and cost management. Harness leverages AI and automation to streamline this "outer loop" of software delivery, empowering teams to accelerate their software releases while ensuring robust security and governance throughout the entire lifecycle. Utilizing Harness AI and the Software Delivery Knowledge Graph, our platform integrates deep context and intelligent automation across the software delivery lifecycle, embedding governance and policy-driven controls seamlessly. Over the past year, Harness has facilitated more than 185 million deployments, 82 million builds, 18 trillion flag evaluations, 8 million security scans, 9.1 billion optimized tests, and protected 3 trillion API calls, managing $2.8 billion in cloud expenditure. Our clients, including United Airlines, Morningstar, and Choice Hotels, have experienced up to 75% faster release cycles, reduced cloud costs by as much as 60%, and achieved an impressive 10x efficiency in their DevOps practices. With a diverse global team spread across 14 offices in 25 countries, Harness is poised to redefine the future of AI software delivery, and we are eager to welcome exceptional talent to propel us forward.

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, our focus has been on developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and save countless lives lost to traffic accidents. The Waymo Driver underpins our fully autonomous ride-hail service, with applications across various vehicle platforms and use cases. With over ten million rider-only trips facilitated, our technology has autonomously navigated over 100 million miles on public roads and tens of billions of miles in simulation across more than 15 U.S. states.The Safety Evaluation team acts as the guardians of safety, integrating data analysis expertise and thorough validation into our autonomous driving systems. We work in close collaboration with engineering teams to ground the evaluation of machine learning-intensive systems in safety principles. Our deep knowledge permeates every aspect of our safety-critical systems, ensuring that every decision made by our vehicles is supported by rigorous analysis and sound reasoning. Our mission extends beyond mere assessment to innovation, as we develop advanced ML techniques specifically designed for the intricacies of collision evaluation. Ultimately, we are paving the way for safer roads and a future in which Waymo vehicles navigate the complexities of the real world with confidence.As a Senior Data Scientist specializing in Safety Evaluation at Waymo, you will be pivotal in ensuring the safety and reliability of our autonomous vehicles. Your role will encompass a wide range of data analysis, model development, and evaluation tasks. While no two days are the same at Waymo, your core responsibilities will include:Creating safety evaluation frameworks essential for enhancing ML models.Designing and executing comprehensive data analysis pipelines and validation frameworks.Utilizing statistical methods and ML models to analyze historical/simulation data and evaluate safety performance.Collaborating with cross-functional teams such as Simulation and Planning to guarantee thorough safety evaluations across the autonomous driving system.

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo's mission centers on developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access while aiming to reduce the thousands of lives lost annually due to traffic accidents. The Waymo Driver is the backbone of Waymo's fully autonomous ride-hailing service and has the potential to be integrated across a variety of vehicle platforms and use cases. With over ten million trips completed and more than 100 million miles driven autonomously across 15+ U.S. states, Waymo is leading the charge toward safer roads.As a critical element of scaling our ride-hailing service, rigorous performance evaluation of the Waymo Driver is essential in achieving our ambitious objectives. Our data scientists collaborate closely with engineering teams through every phase of the software development lifecycle, utilizing statistical models and crafting metrics to ensure the Waymo Driver adheres to our stringent safety, compliance, and service quality standards. The unique challenges posed by autonomous driving create a new paradigm for data science, where we not only analyze real-world data but also generate high-quality synthetic data through advanced simulation technologies, providing richer signals and tackling complex estimation and experimental design issues.In this hybrid role, you will report to a Data Science Manager.

P-57 At Databricks, we are passionate about empowering data teams to tackle the world's most challenging problems. Our mission is to create and operate the premier data and AI infrastructure platform, allowing our clients to concentrate on the high-value challenges central to their objectives. Founded in 2013 by the original creators of Apache Spark, Databricks has expanded from a small office in Berkeley, California, to a global powerhouse with over 1,000 dedicated employees. Thousands of organizations, from small startups to Fortune 100 companies, rely on Databricks for their critical workloads, establishing us as one of the fastest-growing SaaS companies globally. Our engineering teams are committed to developing highly technical products that meet significant needs in the industry. We continuously push the limits of data and AI technology while ensuring resilience, security, and scalability—key factors in ensuring our customers' success on our platform. We manage one of the largest software platforms in existence, comprising millions of virtual machines that generate terabytes of logs and process exabytes of data daily. At this scale, we frequently encounter cloud hardware, network, and operating system issues, necessitating that our software effectively shields our customers from such challenges. As a Data Scientist on the Data Team, you will play a crucial role in fostering a data-driven culture at Databricks by working on the company's top priorities. The Data Team also acts as an internal customer, utilizing Databricks to shape the future direction of our products. Your Impact: Analysis at the speed of thought: Enhance decision-making capabilities by developing robust data science tools for business leaders, analysts, and fellow data scientists. Extend capabilities of Databricks: Collaborate closely with the Data Platform and Product Engineering teams to integrate data science tools with existing offerings and the core product. Strategic business insights: Spearhead insight generation for key company priorities and essential engineering initiatives focusing on reliability and efficiency. Gather evolving requirements, define project OKRs and milestones, and communicate progress and results to both technical and non-technical stakeholders. Mentor and guide junior data scientists on the team regarding project planning, technical decisions, and reviews of code and documentation. Represent the data science discipline across the organization, advocating for a more data-driven approach. Act as a representative for Databricks at academic and industry events.

About MAIAt MAI (pronounced “my”), we are dedicated to making advanced advertising technology accessible for all. Our mission is to provide small and mid-sized businesses with cutting-edge marketing tools that were once only available to large corporations. By utilizing AI agents, our platform automates and optimizes performance marketing, allowing businesses to increase their ad spend profitability without the need for agencies or extensive manual campaign management.Founded by industry veterans from Google and Instacart, we have successfully secured $25 million in Seed funding led by Kleiner Perkins to propel our growth. This investment will help us expand our product and engineering teams as we work towards realizing our vision of intelligent, autonomous marketing. Our AI agents have already demonstrated their effectiveness, helping clients achieve 40% more sales while managing millions in monthly Google Ads spend. The demand for our services is rapidly growing, and we are excited to shape the future of growth marketing.Why Join Us?As part of our team, you won’t just be another employee; you’ll be a crucial player on a focused team with significant impact, helping to shape the future of our company. This is a unique opportunity for personal and professional growth, where you can leverage your expertise while embracing new challenges and learning from your colleagues.Your RoleTransform Data into Marketing Strategies: You will analyze extensive marketing datasets to understand the underlying reasons for performance metrics. Collaboration with our Machine Learning and Operations teams will be essential as you translate your analytical findings into innovative strategies for our AI agents to implement autonomously.Develop Our AI's Analytical Capabilities: You will play a vital role in shaping the intelligence of our analytics agent. This will involve context engineering—creating prompts, designing semantic data layers, building robust data pipelines, and establishing evaluation frameworks to ensure our agents deliver accurate and valuable insights to our clients.Establish a Data Foundation for AI Intelligence: You will manage the data that powers our agents, transforming complex, multi-platform data into a valuable resource. Your contributions will enhance our agents' capabilities by developing essential tools and signals such as user funnel models and lifetime value predictions.

Moveworks, a part of ServiceNow based in Mountain View, is looking for a Senior Data Scientist. This position focuses on using advanced analytics to guide decision-making and enhance product features. Collaboration is central, as the Senior Data Scientist works with multiple teams to identify opportunities and shape solutions that use AI to transform customer service. Key responsibilities Analyze complex datasets to inform business and product strategies Partner with engineering, product, and other groups to address challenges and drive improvements Create new methods to strengthen AI-powered support tools Support ongoing initiatives to advance customer service through artificial intelligence Role overview This role centers on both technical analysis and cross-functional teamwork. The Senior Data Scientist will play a part in shaping how AI is used to improve customer experiences at Moveworks and ServiceNow.

To apply for this position, please fill out the attached Internal Transfer Request Form and submit it. Ensure to apply using your Coupang email address. At Coupang, our mission is to exceed customer expectations. We thrive on customer feedback that validates our approach, exemplified by statements like, 'How did we ever live without Coupang?' Our dedication to making shopping, dining, and living more accessible has established us as a groundbreaking force in the multi-billion-dollar e-commerce sector. As one of the fastest-growing e-commerce companies, we have built a solid reputation as a reliable and dominant player in South Korean commerce. We proudly combine the dynamic environment of a startup with the resources of a global public company. This unique blend empowers us to grow continuously and innovate at an extraordinary pace. Our culture is entrepreneurial, and we encourage our team members to drive new initiatives. Boldness and ambition define us as we explore opportunities to shape the future of commerce.

Waymo, an innovative leader in autonomous driving technology, is committed to becoming the world’s most trusted driver. Originating from the Google Self-Driving Car Project in 2009, our focus has been on developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and save lives lost in traffic incidents. The Waymo Driver powers our fully autonomous ride-hailing service and can be integrated across various vehicle platforms and applications. Having completed over ten million rider-only trips and driven over 100 million miles on public roads, Waymo is at the forefront of redefining transportation safety and accessibility.As we scale our ride-hailing service, rigorous performance evaluation of the Waymo Driver is essential to achieving our ambitious goals. Our data scientists collaborate closely with engineering teams throughout the software development cycle, utilizing statistical models and developing metrics and frameworks to ensure the Waymo Driver meets our high standards for safety, compliance, and service quality. The unique challenges of autonomous driving also introduce new paradigms in data science, where we not only analyze real-world data but also generate our own data using advanced simulation technologies, leading to richer insights and innovative solutions in estimation and experimental design.In this hybrid role, you will report directly to a data science manager.

Join poetiq as an AI Scientist, where you will innovate and develop the essential algorithms for our cutting-edge self-improving reasoning engine. Your role will involve pioneering data-efficient methods that enhance our system's capability to learn reasoning processes—delving into large language models (LLMs), uncovering their latent knowledge, and integrating pieces into accurate, multifaceted responses.You are an ideal candidate if you:Possess a profound, first-principles grasp of LLM reasoning, including their nuances and potential pitfalls, gained through practical experience.Demonstrate expertise in the design, search, or optimization of machine learning algorithms, with a clear understanding of the limitations associated with conventional LLM training methodologies.Excel in crafting innovative, data-efficient strategies for identifying optimal reasoning approaches tailored to specific tasks.Show a strong enthusiasm for developing core self-improvement mechanisms that empower our system to autonomously learn from the challenges it addresses, enhancing its performance over time.Hold a solid record of publications and thrive on transforming unconventional ideas into reality.

Waymo, a leader in autonomous driving technology, aims to be the most trusted driver in the world. Originating from the Google Self-Driving Car Project in 2009, our mission is to create the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and reduce traffic fatalities. The Waymo Driver powers our fully autonomous ride-hail service and can be integrated across various vehicle platforms and applications. With over ten million rider-only trips and more than 100 million miles driven autonomously on public roads, we are pioneering the future of transportation.As part of our Product Data Science team, you will collaborate with Engineering, Product, and Operations to leverage data for informed decision-making. We tackle high-impact projects, from quality assurance and operational efficiency to market analysis and rider satisfaction. Our data-driven, inquisitive, and adaptable approach is essential for scaling the Waymo Driver safely and effectively.This position follows a hybrid work model and you will report to the Product Data Science Lead.

ID.me seeks a Principal Technical Lead Manager to guide two core engineering teams: Organization Platform and Data Acquisition & Normalization. This leadership role is based in Mountain View, California. Role overview The Principal Technical Lead Manager will shape how organizations are represented, validated, and trusted within the ID.me Identity Trust Graph. The position also oversees management of attribute data that supports trust decisions across the platform. Organization Platform This team is responsible for building and maintaining APIs and services that create, validate, and manage organization records. Key areas include application management, domain verification, business onboarding, and managing relationships between organizations. Their work enables developer portal adoption, partner integrations, and supports downstream identity workflows by providing an authoritative source for business and institution representation. Data Acquisition & Normalization This group develops connectors to authoritative and commercial data sources, such as government registries, telecom providers, and licensing authorities. The team standardizes varied data into common schemas and integrates validated attributes into the trust graph at internet scale. What you will do Oversee technical architecture, delivery, reliability, and operational health for both the Organization Platform and Data Acquisition & Normalization teams. Support the growth and performance of engineering teams working on these platforms. Work closely with Product and other stakeholders to ensure alignment and successful outcomes. This position is located in Mountain View, California.

P-1125 Summary At Databricks, we are committed to empowering data teams to tackle the world’s most challenging issues, from detecting security threats to advancing cancer drug development. Our mission involves constructing and operating the leading data and AI infrastructure platform, enabling our clients to concentrate on the critical challenges that define their objectives. Our engineering teams create sophisticated products that meet significant real-world needs. We continually push the frontiers of data and AI technology while ensuring resilience, security, and scalability—key elements for our customers' success on our platform. Customers entrust Databricks with their most sensitive data, and our Trust & Safety team is dedicated to crafting the most reliable data analytics and machine learning platform globally. Security Engineering plays a pivotal role in this mission, safeguarding customer data against malicious actors. We seek visionary leaders to shape the strategy and direction of this critical area. The impact you will have: Enhance the security of Databricks for our clients by identifying and addressing vulnerabilities within our infrastructure and services. Attract elite talent from across the industry. Serve as a prominent advocate for the security engineering discipline throughout the organization, making data-driven decisions. Represent Databricks at academic and industry conferences and events. What we look for: A minimum of 10 years of experience in Data Security or related fields, with expertise in two or more of the following areas: Cryptography, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Authentication, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, and Detection & Response. Proven experience in building systems at large-scale internet companies is a significant advantage.

About Our TeamThe GeminiApp team is dedicated to crafting a universal AI assistant that will transform how billions of individuals engage with technology. Our vision is to develop a personal and proactive life assistant that significantly boosts productivity and creativity, enabling users to achieve more in their daily lives. Join us as we redefine human-AI interaction at scale.About the RoleAs a Senior Data Scientist on the GeminiApp team, you will play a crucial role in shaping our product strategy while leading a dynamic team of data professionals. Your expertise in data will be pivotal in developing a uniquely proactive assistant, ensuring our strategic initiatives are firmly grounded in actionable insights. This is a high-impact position ideal for a data scientist eager to thrive in a fast-paced and innovative environment, passionate about creating user-focused experiences that will revolutionize our relationship with technology.Key ResponsibilitiesCollaborate with Product Management, Engineering, and UX leaders to formulate data-driven product strategies across various areas of GeminiApp.Translate complex, ambiguous questions into clearly defined problems, design robust experiments, and extract insights from large, complex datasets.Establish and implement innovative, goal-oriented metrics that drive product success.Develop and deploy statistical and machine learning models to understand user behavior, enhance product capabilities, and personalize the user experience.Effectively communicate findings and strategic recommendations to stakeholders, including executives.Promote a data-driven culture by integrating user engagement insights back into models.Work alongside the GenAI team to ensure model quality and feature adoption.Serve as a technical mentor for a global team, guiding junior team members in complex analyses and upholding best practices for high-quality, impactful work.

Join LinkedIn as a Senior Staff Applied Scientist specializing in Infrastructure Data Science. In this pivotal role, you will leverage your expertise to drive innovation and enhance the efficiency of our infrastructure systems. You will collaborate with cross-functional teams, developing cutting-edge data solutions that significantly impact our global user base.Your responsibilities will include conducting advanced data analyses, modeling complex systems, and implementing machine learning algorithms to optimize performance. You will also mentor junior scientists and contribute to a vibrant research culture, ensuring that LinkedIn remains at the forefront of technology and data science.