Principal Data Scientist

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.

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.

At Databricks, we are dedicated to empowering data teams to tackle the world's most challenging problems—from transforming the future of transportation to expediting medical breakthroughs. We achieve this by creating and managing the most advanced data and AI infrastructure platform, enabling our customers to extract deep insights from data to drive business success. Founded by engineers with a strong customer focus, we eagerly embrace every opportunity to confront technical challenges, whether it’s designing next-generation UI/UX for data interfacing or scaling our services and infrastructure across millions of virtual machines. And we’re just getting started.The Logging Platform team is pivotal in developing scalable and efficient logging solutions that enhance observability across all Databricks services. As a Staff Software Engineer, you will spearhead the evolution of our logging infrastructure, empowering engineers throughout the company to gain profound insights into system behavior, troubleshoot issues efficiently, and optimize performance at scale.

Join Waymo as a Senior Product Manager focused on AI Data and Metrics, where you will lead innovative projects that shape the future of autonomous driving. You will be responsible for defining product vision, gathering requirements, and working collaboratively with cross-functional teams to ensure successful product delivery.Your expertise in AI and data analytics will play a crucial role in optimizing our metrics and enhancing our decision-making processes.

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 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.

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.

Waymo is at the forefront of autonomous driving technology with a commitment to becoming the most trusted driver in the world. Originating from the Google Self-Driving Car Project in 2009, Waymo is dedicated to developing the Waymo Driver—The World’s Most Experienced Driver™—which aims to enhance mobility access and save thousands of lives lost in traffic accidents. The Waymo Driver has been instrumental in powering Waymo’s fully autonomous ride-hailing service, accruing over ten million rider-only trips, and has autonomously navigated more than 100 million miles on public roads alongside tens of billions of miles in simulation across 15+ states in the U.S.We are launching an innovative team known as SCORPIO (SimEval Capacity Operations, Resource Planning, Infrastructure Optimization). This team will play a crucial role in optimizing the utilization of Waymo’s extensive simulation compute, storage, and network resources. SCORPIO will focus on creating data-driven models, metrics, and processes for demand forecasting, capacity planning, and resource allocation optimization, thereby enhancing developer experiences and maximizing infrastructure investment returns.

About UsGatik is at the forefront of transforming autonomous middle-mile logistics, providing cutting-edge transportation-as-a-service (TaaS) solutions to streamline B2B supply chains. Our mission is to ensure safe and timely deliveries while alleviating congestion in freight movement. We proudly launched the world’s first fully driverless commercial transportation service with Walmart in 2021, utilizing our Class 3-7 autonomous trucks in key markets such as Texas, Arkansas, and Ontario, Canada.Our proprietary Level 4 autonomous technology, Gatik Carrier™, is meticulously designed to securely transport freight between pick-up and drop-off points across the middle mile, excelling in both highway and urban environments. This all-in-one solution integrates advanced software and hardware, seamlessly fitting into our customers’ logistics frameworks.Role OverviewWe are in search of a dedicated Safety Engineer to spearhead safety performance evaluations and implement data-driven assessments for our autonomous trucking systems. In this pivotal role, you will establish and track Safety Performance Indicators (SPIs) and Key Performance Indicators (KPIs), ensuring compliance with Gatik’s safety protocols and promoting ongoing safety enhancements from the vehicle level to fleet-wide implementations.This position requires a commitment to being onsite five days a week at our Mountain View, CA or Fort Worth, TX office.Key ResponsibilitiesEvaluate safety performance through real-world and simulated data analysis.Lead post-deployment safety assessments and develop risk mitigation strategies.

OverviewAt Google DeepMind, we believe that Artificial Intelligence is one of the most transformative inventions for humanity. Our team comprises scientists, engineers, and machine learning specialists dedicated to advancing cutting-edge AI technologies for the benefit of society and scientific progress, with a strong emphasis on safety and ethical considerations.The Gemini Safety team is responsible for ensuring the safety and fairness of our latest Gemini models. We are seeking a Research Scientist who will leverage data and innovative algorithms to enhance the performance of our user-oriented models. This role demands a fast-paced, highly collaborative work environment where support and teamwork are paramount.About UsGoogle DeepMind is at the forefront of AI innovation, focusing on using our technologies for meaningful public impact and exploring scientific frontiers. We work closely with various partners to tackle significant challenges while prioritizing ethical standards and safety protocols.Position OverviewWe are in search of a dynamic Research Scientist who excels in both exploring novel research inquiries and implementing technical solutions. Our team's mission is to enhance the safety and fairness of state-of-the-art AI models, contributing foundational technology to multiple product areas including Gemini App, Cloud API, and Search.Key Responsibilities:Optimize post-training and instruction tuning of state-of-the-art LLMs across various modalities including text-to-text and image/video/audio-to-text.Investigate data-driven, reasoning, and algorithmic strategies to ensure Gemini Models remain safe, highly effective, and accessible to all users.Enhance Gemini’s resilience against adversarial threats, particularly concerning high-risk abuse scenarios.Develop and uphold high-quality evaluation protocols to identify model behavior gaps and opportunities related to safety and fairness.Create and implement experimental plans to bridge identified gaps or develop new capabilities.Foster innovation and deepen our understanding of Supervised Fine Tuning and Reinforcement Learning fine-tuning at scale.

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.

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 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 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 at the forefront of autonomous driving technology, striving to become the world’s most reliable driver. Originating from the Google Self-Driving Car Project in 2009, Waymo has dedicated itself to developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and prevent countless lives lost to traffic accidents. Our cutting-edge Waymo Driver is the backbone of our fully autonomous ride-hailing service and can be implemented across various vehicle platforms and applications. Having completed over ten million rider-only trips, our technology has accumulated experience from autonomously driving over 100 million miles on public roads and tens of billions of miles in simulations across more than 15 U.S. states.The Large Model Evaluation team is pivotal to Waymo's AI mission. As advancements in Large Language Models (LLMs) and Vision-Language Models (VLMs) continue, we are constructing state-of-the-art AI systems capable of addressing the full spectrum of real-world driving complexities. Central to our success is our capacity to measure progress effectively. Robust evaluation is crucial for deploying any large model, and at Waymo, the challenge is particularly intricate and safety-critical. We seek quantitatively-minded engineers to innovate and propose new methods for assessing the machine learning models integrated into the Waymo Driver.

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.

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.

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.