Staff Product Data Scientist, Operations Center

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…

ECL is revolutionizing the data center industry with the launch of the world’s first hydrogen-powered off-grid green data center, achieving an impressive 99.999% uptime. As demand surges for advanced data centers capable of supporting AI and Machine Learning, what once seemed a distant vision is now a tangible reality. Our innovative construction platform and modular architecture allows us to scale from 1-2MW, catering to even the largest data center operations. Join us in pioneering a completely green power generation system in this era of rapid technological advancement in Machine Learning and AI.Are you ready to be part of this technological evolution? This is your opportunity to join a dynamic team poised for hyper growth. ECL was founded by industry veterans from renowned organizations including Facebook, Microsoft, LinkedIn, Cisco, HPE, and Bloom Energy.Data Center TechnicianLocation: Mountain ViewReports To: Director, Data Center Site Services Position OverviewThe Data Center Technician plays a crucial role in supporting the daily operations and maintenance of critical systems within a mission-critical data center environment. This position is essential for ensuring uptime, monitoring system performance, and executing standardized procedures across electrical and mechanical systems.This role emphasizes hands-on operational support, preventive maintenance, documentation accuracy, and compliance with safety standards. Work will be conducted following established protocols under the guidance of site leadership. Key ResponsibilitiesElectrical Systems Support· Assist in monitoring and maintaining UPS systems, switchgear, transformers, PDUs, generators, fuel cells, and BESS (Battery Energy Storage Systems, as applicable).· Support switching activities under approved MOPs (Method of Procedures) and supervision.· Record system readings and report any abnormalities.· Assist with redundancy checks following maintenance efforts.Mechanical & Cooling Support· Support the operation of essential cooling systems, both air and liquid-based.

ECL has revolutionized the industry with the launch of the world’s first hydrogen-powered, off-grid green data center, boasting an impressive 99.999% uptime. As demand surges for state-of-the-art data centers capable of supporting the needs of AI and Machine Learning, what once seemed like a distant vision has become a reality. Our innovative end-to-end construction platform and modular architecture allow us to scale from 1-2MW to accommodate even the largest data center sites. This is a unique opportunity to contribute to the development of a fully sustainable power generation system in the evolving landscape of disruptive technology advancements in Machine Learning and Artificial Intelligence.Join us at ECL, a company founded by experts from leading tech giants such as Facebook, Microsoft, LinkedIn, Cisco, HPE, and Bloom Energy, and be part of our exciting journey as we prepare for exponential growth.Data Center EngineerLocation: Mountain ViewReports To: Director, Data Center Site Services Position OverviewThe Data Center Engineer (KTLO) will ensure the ongoing operational readiness of all critical infrastructure systems within a mission-critical data center environment. This role is pivotal in guaranteeing uptime, maintaining system redundancy, and enforcing strict procedural and safety protocols across electrical, mechanical, and supporting site systems.This operations-centric position requires a focus on stability, execution, and adherence to compliance. The engineer will implement approved procedures, assist with structured change management processes, monitor system health, and maintain documentation that is ready for audits in a tightly controlled, high-availability environment.The candidate must possess a working knowledge of electrical distribution systems, critical cooling infrastructures (including liquid cooling technologies), structured governance of MOP/SOP/EOP, and regulated operational settings. Success in this role hinges on procedural discipline, sound judgment in escalation situations, and effective risk mitigation practices. Key ResponsibilitiesElectrical Systems Operations· Operate and maintain UPS systems, switchgear, transformers, PDUs, generators, fuel cells, and BESS (as applicable)· Support switching activities under approved MOPs· Monitor...

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.

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.

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.

Role overview The Senior Staff Product Operations Manager at Databricks plays a key role in shaping how products are delivered and supported. Based in either Mountain View or San Francisco, California, this position focuses on guiding product operations strategy and improving delivery processes. Leadership across teams is essential, with an emphasis on streamlining workflows and strengthening operational efficiency. What you will do Lead cross-functional teams working on product delivery and operational improvements Shape and refine the product operations strategy to align with business goals Drive initiatives that support product excellence and greater efficiency Ensure product operations stay aligned with Databricks' objectives Location This role is based in Mountain View or San Francisco, California.

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 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.

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.

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.

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.

About UsAurora Innovation is dedicated to advancing self-driving technology to create safer, more efficient mobility solutions. Our vision is to revolutionize the transportation ecosystem, making it accessible and reliable for everyone.To learn more about our innovative technology, check out The Aurora Driver, which is set to transform logistics and personal transportation.At Aurora, we seek out talented individuals from diverse backgrounds, united in our mission to enhance road safety and improve the efficiency of goods transportation through cutting-edge technology. We are currently in search of a Staff Technical Product Operations Manager who will play a pivotal role in maximizing the potential of our Mapping operations and self-driving technologies.In this dynamic position, you will leverage your strategic, operational, and product expertise to ensure alignment across teams, optimize processes, and accelerate product development timelines. You'll collaborate closely with Engineering, Mapping Operations, Systems Safety, and Product Program Management to translate business goals into actionable plans for our teams.Your strong product management instincts, paired with operational agility, will enable you to design scalable systems for our Mapping organization. You will focus on enhancing the operational framework for our Mapping solutions, overseeing aspects such as HD map expansion, updates, change detection, validation, and readiness for release.

At Databricks, we're dedicated to empowering Data and AI teams to tackle some of the most challenging issues globally — from revolutionizing transportation to speeding up the discovery of medical innovations. We achieve this by creating and managing the premier Data and AI infrastructure platform, enabling our clients to harness deep data insights to enhance their operations. Founded by engineers with a customer-centric approach, we embrace every chance to overcome technical hurdles, whether it’s designing cutting-edge UI/UX for data interaction or scaling our services across millions of virtual machines. Our journey has just begun!As a Senior Product Operations Analyst reporting to the Director of Product Operations, you'll spearhead critical projects and collaborate with teams across Engineering, Data Science, HR, and Finance. Your role will be instrumental in ensuring our systems achieve operational excellence that scales alongside our company, laying the groundwork for data-driven decision-making that fuels Databricks’ growth. We are looking for candidates with a robust background in business operations and a solid grasp of data management principles.In this position, you will lead and support projects related to the Serverless Networking platform, collaborating with various teams to launch external customer-facing networking features and improve the foundational networking infrastructure supporting our internal product teams.

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, 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.

Join ECLDC, the trailblazer in the data center industry, as we revolutionize the future with the world's first hydrogen-powered off-grid green data center. With an unparalleled uptime of 99.999%, we are at the forefront of meeting the burgeoning demands of AI and Machine Learning. What was once a distant vision is now a tangible reality, and our modular architecture allows for scalable solutions from 1-2MW, catering to even the largest data center needs. This is your opportunity to contribute to a groundbreaking green power generation system in an era defined by technological advancements in Machine Learning and Artificial Intelligence.Be part of this extraordinary journey as we prepare for hyper-growth. ECLDC was founded by industry veterans from leading companies such as Facebook, Microsoft, LinkedIn, Cisco, HPE, and Bloom Energy.