Location (mandatory): Remote Translate findings into actionable insights with clear recommendations/implications and produce highly effective communication that motivates people to apply learnings in marketing and across the organization

Location (mandatory): New York, NY (Onsite) Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, and make valuable discoveries leading to prototype biosensor development and product improvement.

Location (mandatory): Menlo Park, CA (Onsite) We are seeking a highly experienced Data Science Contractor to join our team and provide essential support for strategic initiatives across the Client ecosystem. This position is ideally suited for a data scientist possessing robust analytical capabilities, substantial experience within large-scale data environments, and a commitment to generating significant impact through data-driven insights.

Location (mandatory): Fremont, CA (Onsite) The main function of a Supply Chain Analyst is to define, build, manage, and measure global asset management. A typical Supply Chain Analyst may be responsible for buying goods and services and analyze performance of suppliers.

Location (mandatory): Exton, PA 19341 Under general direction, the Maintenance Mechanic is responsible for monitoring, operation, performing preventive maintenance and corrective maintenance of GMP and non-GMP utilities and HVAC equipment as well as process-related equipment. The role supports pilot plant and R&D facilities and requires working in a fast-paced, highly technical environment with weekend on-call rotation and off-hour emergency response.

Location (mandatory): Menlo Park, CA • Despite rapid advancements in generative AI, achieving high-quality generation remains a challenge. This is primarily due to the scarcity of high-quality training data and the lack of reliable and robust evaluation metrics that can effectively capture subtle details in model outputs, which can significantly impact user experience. • Our team is dedicated to developing comprehensive data curation and evaluation solutions to enhance our model across various quality dimensions. These include visual quality, prompt adherence, identity preservation, naturalness, and visual text generation, among others. We employ diverse approaches, such as sourcing billions of images and identifying suitable ones through a combination of manual annotations and signals from machine learning models. We also utilize both manual and automated evaluation methods to pinpoint quality gaps and data requirements.

As a Data Scientist at Client, you will shape the future of people-facing and business-facing products we build across our entire family of applications. By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance, and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Client, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond. Product Leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Client. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem. Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them. Communication and Influence: You won't simply present data but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity and be a trusted strategic partner.

The Global ODM Fulfillment Operations team within the Global Supply Chain Operations (GSCO) group is responsible for teaming with our supply chain partners to build, deliver, and enable Client's AI, Compute and Storage infrastructure. Client's computing foundation is its Data Centers, and key strategic partnerships with Original Design Manufacturers (ODMs) across the Compute and Storage industry are a crucial piece in building and operationalizing this infrastructure. The Global ODM Fulfillment Operations team is responsible for managing the operational performance of these ODM partners by setting key performance metrics, ensuring operational success and driving performance improvement programs across Client's supply chain, and is ultimately responsible for on-time-delivery of the hardware. This requires a dynamic approach to work to unlock challenges on the tactical (ex. supply), strategic (ex. Supply chain strategy), and foundational (ex. process overhaul) levels for Inventory Partners, ODMs, and Client. The team is inherently dynamic, requiring coordination across engineering, NPI, mass production, and sustaining teams all within a given cycle. Put simply: this team is composed of flexible problem solvers who build relationships both within- and beyond- Client to achieve industry-leading performance and pave the way for Client's AI-enabled infrastructure. • The MP Materials role will play a critical role in ensuring the timely delivery of materials to Client's manufacturer partners, enabling the delivery of compute, storage, and AI racks to data centers and warehouses. You will be responsible for managing the flow of materials, optimizing supply chain processes, and maintaining strong relationships with internal stakeholders and external partners.

Location (mandatory): Ashburn, VA Area of work: • Able to drive within a 60 mile radius servicing sites. Expenses: • Mileage provided while driving to work sites in the area. Mileage is to the site and between sites is covered. • The mileage home is not covered. One direction pay on days they go to sites other than the office address. • On days there is no drive to a site, the technician isn’t always required to come to the office address.