Strong Compute jobs

Senior AI Performance and Efficiency Engineer 4 Locations posted: Posted 30+ Days Ago

Applied Scientist, Devices & Services Tübingen, Baden-Wurttemberg, DEU Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts millions of people? Answer yes to any of these and you'll fit right in here at Amazon, where you'll apply cutting-edge advances in artificial intelligence, computer vision, machine learning, and robotics to solve real-world challenges that transform customer experiences. You'll collaborate with a team of skilled problem-solvers who are passionate about pushing the frontier of intelligent systems and delivering innovative solutions at scale. We are looking for skilled individuals with a strong bias for action and deep technical knowledge to join our team in Tübingen. As part of Amazon Devices & Services, you'll engage with novel innovative devices and complex, large-scale problems that require both technical depth and creative thinking. Your work will span across computer vision, machine learning, robotics, and AI applications. You'll find yourself navigating ambiguity, collaborating with colleagues across disciplines, and contributing to projects that shape the future of intelligent systems. Beyond your core technical work, you'll participate in cross-functional discussions, share insights with your team, and help establish best practices. We are a collaborative team of doers committed to researching and developing intelligent systems that matter. Our vision is to pioneer the application of AI, computer vision, machine learning, and robotics to create meaningful customer impact. You'll work alongside colleagues who are equally passionate about solving hard problems and thrive in a startup-like environment

Specialist, IT Infrastructure 1 1 City Laem Chabang | State/Province Chonburi | Country Thailand Req ID: 134549 Remote Position: Region: Country Thailand State/Province: State/Province Chonburi City Laem Chabang Job Responsibilities: - Set up and maintain the infrastructure including servers, firewalls, switches, access point, router and other equipment. - Maintaining, monitoring and improve all network system and server. - Evaluates new technologies/trends and recommends changes to drive continuous quality improvement - Manage security policy to ensure the information system is protected and prevented from vulnerabilities and risk - Work with internal users and external customers to drive the project - Provides on call/on site support for critical incidents outside of normal business hours and emergency situations as part of Business Continuity Plan requirements Qualification - Bachelor degree in Computer Engineering or computer science - At least 10 years experience in the computer network field - Good knowledge on TCP/IP, VLAN, routing and Network security - Hand-on experience in Firewall,Routers, proxy servers, switches, Wireless, VoIP, WAN, DNS, RADIUS and DHCP - Hand-on experience in Linux Administration - Hand-on experience in Windows client, Windows server Administration - Strong analytical, troubleshooting and problem solving skills. - Good communication (both oral and written) and documentation skills. - Ability to plan projects and tasks. - Able to work under high pressure and overtime Celestica is an equal opportunity employer. All qualified applicants will r

Senior AI Platform Developer Montreal, Toronto, Vancouver, SF (Remote) MaintainX is the world's leading AI-powered maintenance and asset management platform, serving 13,000+ customers including Duracell, Shell, Cintas, and Brenntag. We raised $150M in Series D funding led by Bessemer Venture Partners and Bain Capital Ventures, bringing our total funding to $254M. We were named to the Forbes 2025 Cloud 100 , the definitive ranking of the top 100 private cloud companies in the world. We're growing fast and hiring the engineering talent to match. We're looking for a Senior AI Platform Developer to build the shared systems that enable teams across MaintainX to ship AI-powered products reliably at scale. You will design and operate internal services that standardize how AI workloads run in production, with clear abstractions, safe defaults, and strong observability. This role is focused on platform leverage- reducing operational and cognitive load for other developers while raising the bar for reliability, performance, and delivery speed across the AI stack. What you'll do: - Build and operate scalable backend services and internal APIs for the AI platform. - Integrate LLMs and AI tool execution into reliable, production-ready workflows. - Own production reliability for AI platform infrastructure through observability, alerting, and incident response. - Improve performance and cost efficiency of AI runtimes through profiling, tuning, and capacity planning. - Contribute to shared infra: CI/CD, observability, deployments About you: - 5+ years of experience in Python backend development + systems design experience. - Experience shipping AI-powered or LLM-integrated backend systems. -

Cloud Architect - OpenShift and AI Puteaux posted: Posted Today

Member of Technical Staff (Data Intelligence) US, UK, Singapore, Remote In this role, you'll work closely with model researchers, data infrastructure engineers, and cross-functional partners to make sure our data is high quality and can be produced at petabyte scale in a reliable, efficient way. From understanding how data choices show up in model behavior, to building processing pipelines and running the compute behind them, you'll help ensure our models are trained on the best data we can get. What you'll do - Work with model researchers to define what “good data” means for our models, including quality metrics, validation checks, and acceptance thresholds - Explore open source datasets and create internal ones most suitable to build fundamental World Models - Build algorithms for automated data quality assessment, data domain mixtures, and domain adaptation from synthetic to real data. - Track datasets, metadata, provenance, and versions so experiments are reproducible and it's clear what data went into which training and evaluation runs - Own CI/CD and development tooling for the data stack (GitHub, Python, PyTorch), and automate repetitive workflows to reduce friction - Track and optimize throughput, storage, and compute utilization across pipelines and related assets What we're looking for - Strong ML and deep learning fundamentals with experience building and operating large-scale data and/or compute systems - Comfortable moving between research questions and production engineering: you can dig into data, run analyses, and also ship reliable systems - Demonstrated research experience with data compositions, quality, and dataset releases -

Senior Solutions Architect, Solutions Architecture Taipei City, TWN 〈歡迎身心障礙者應徵〉亞馬遜是平等機會雇主，多元包容的文化讓我們能為客戶打造最好的服務。若您進入面試流程後需要任何協助，歡迎聯繫您的招募專員。 Do you like helping customers solve technical problems? Would you like to do this using the latest cloud computing technologies including GenAI and agentic AI? Do you have a knack for helping companies understand infrastructure and application architectures including migration, modernization, and integration approaches? Do you thrive for the chance to be consultative while leading the launch of transformational projects on a trajectory to success? AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. This is an on-site position requiring regular presence at AWS offices and customer locations to deliver hands-on technical engagement and build strong customer relationships. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services. As a Solution Architect within Amazon Web Services (AWS), you will have the opportunity to help shape and deliver on a strategy to build mind share and broad use of Amazon's utility computing web services including compute, storage, networking, database, analytics, application services, deployment, management, developer, mobile, Internet of Things (IoT), Artificial Intelligence (AI), Generative AI, agentic AI solutions, security, hybrid and enterprise applications within Enterprise Accounts including retail, transportation, e-commerce industries and more. You will own the technical engagement and ultimate

AI Hardware Architecture Palo Alto, CA About Unconventional Since 2022, AI has entered the mainstream, reshaping entire industries from education and software development to fundamental consumer behaviors. This revolution has created an unprecedented demand for computation - a demand that is now fundamentally limited by energy, not just in the datacenter, but at a global scale. At Unconventional, our mission is to solve this. We are rethinking computing from the ground up to build a new foundation for AI that is 1000x more efficient. We're doing this by exploiting the rich physics of semiconductors, mapping neural networks directly to the device physics rather than relying on layers of inefficient abstraction. The Role As a Member of Technical Staff, you will be a foundational member of our small, multi-disciplinary R&D team. This isn't a role with a predefined checklist; it's an opportunity to help define the "what" and the "how." We are looking for 'first principles' thinkers who are excited to tackle the hardest, most ambiguous technical challenges at the intersection of AI, physics, and computer architecture. You will be responsible for driving invention, prototyping, and validation of the core components of our novel computing platform. Your work will be fluid and could span from theoretical modeling and simulation to algorithm development, hardware/software co-design, or experimental validation in collaboration with other team members. We're hiring exceptional problem-solvers who can navigate deep uncertainty and help chart our technical roadmap. Responsibilities We are seeking exceptional individuals who will help to propose, design, and

Senior Software Development Engineer, AWS RDS SQL Server Redmond, Washington, USA RDS provides customers with databases that have multiple-nines of durability and availability. Achieving this level of reliability requires building control and monitoring systems that automatically detect and handle many types of failures within seconds, and data replication options that accommodate various geographical distribution and disaster recovery objectives. The challenge is further heightened by needing to handle huge numbers of databases, multiple database engines (RDS supports MySQL, Oracle, PostgreSQL, SQL Server, MariaDB, and Amazon Aurora), and a wide variety of customer workloads. This role is for the AWS RDS for SQL Server team. SQL Server is a relational database management system developed by Microsoft. Amazon RDS for SQL Server makes it easy to set up, operate, and scale SQL Server deployments in the cloud. For more information on RDS SQL Server, please visit: http://aws.amazon.com/rds/sqlserver To achieve our goals in this area, we are looking for a Software Engineer who loves to dive in and solve fundamental Computer Science and Systems problems around performance, timing, state machine logic and distributed systems algorithms. Candidates need to have a strong sense of ownership, passion to provide a great customer experience and excellent troubleshooting skills even when in high-pressure situations. If you'd like to be a part of creating always-on databases in the AWS cloud, this is the job for you! Utility Computing (UC) AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon

Lead Data Scientist - Gen AI BANGALORE, Karnātaka, India

Data Architect/Lead Engineer OH - Strongsville posted: Posted 9 Days Ago

Quality Inspector I US-NV-Reno, Nevada (Maestro Dr) Position: Quality Inspector I Job Description: Arrow Electronics | Reno, NV Shift: 8:30 AM - 5:00 PM, Monday-Friday. Hourly Rate: $22.50 Hourly Pay: up to $25.00 for hours worked between 6:00 PM - 6:00 AM. Overtime: Regular OT and occasional Saturdays as needed. Arrow Electronics is looking for energetic and enthusiastic individuals that work well in a fast-paced computer and electronics distribution center. This position supports the operation by performing various warehouse functions, including receiving, product sort and separation, picking inventory for orders, packaging orders based on product type, and shipping functions. Overtime work can be regular and is required based on business goals. Impeccable attendance is required. What You'll Be Doing: Responsible for inspecting assembled products to ensure adherence to documented requirements. Complete physical inspections of product. Audit against documents and procedures. Provide recommendations to processes and procedures. Other duties as assigned. Must be able to lift up to 50 LBS. Acquires basic skills to perform routine tasks Work is prescribed and completed with little autonomy Has no discretion to vary from established procedures Works with either close supervision or under clearly defined procedures What We Are Looking For: 1-3 years of relevant work experience. Ability to regularly operate a computer for basic functions. Ability to identify basic computer devices including, PC's, laptops, HDD's, printers, networking, monitors. Must have strong attention to detail. K2 experience is preferrable This position involves standing and or walking for considerable lengths of time. Bending to floor

Senior Machine Learning Engineer, AI Personalization Bay Area, CA, United States of America Block builds simple, powerful tools that make progress towards an economy that's truly open to all. Each of our brands unlocks different aspects of the economy for more people. Square makes commerce and financial services accessible to sellers. Cash App is the easy way to spend, send, and store money. Afterpay is transforming the way customers manage their spending over time. TIDAL is a music platform that empowers artists to thrive as entrepreneurs. Bitkey is a simple self-custody wallet built for bitcoin. Proto is a suite of bitcoin mining products and services. Together, we're helping build a financial system that is open to everyone. Join us. The Role Traditionally, ML systems were built to solve narrow tasks (e.g., item recommendations), with orchestration logic hard-coded outside the model. Increasingly, LLMs are becoming the orchestration layer, deciding which models to invoke, when to use them, how to interpret outputs, and how to chain steps together. In this paradigm, the models we build deliver low-latency, large-scale personalization that advances Block's mission of economic empowerment. We work closely with Design, Product, and Engineering teams across Block's ecosystem, applying a spectrum of approaches from simple heuristics and embeddings to deep learning and large language models. We also invest heavily in agentic engineering and AI-assisted tooling to enable high-velocity, reliable development. This includes code generation, automated testing, documentation, and developer workflows. You will play a key role in shaping how these practices apply

Associate Systems Support Engineer 3610 Accendra India At Owens & Minor, we are a critical part of the healthcare process. As a Fortune 500 company with 50+ facilities across the US and 18,000 teammates in over 90 countries, we provide integrated technologies, products and services across the full continuum of care. Customers-and their patients-are at the heart of what we do. Our mission is to empower our customers to advance healthcare, and our success starts with our teammates. Associate Systems Support Engineer (Windows/Vmware) Job Description Our innovative company is looking to fill the role of Windows Administrator. Day to day activities include developing and documenting system specifications, implementing hardware and OS, maintaining high operational uptime stringent SLAs, coordinating with applications and database teams and other operational and project-based tasks. ESSENTIAL JOB FUNCTIONS: Have a good understanding of Windows Server operating systems and be able to apply that knowledge to manage and maintain windows environment Perform systems administration and operation of windows based systems Operate, administer, and upgrade computer systems, devices, and software Deploy software which includes scheduling, executing, and troubleshooting the deployment of software applications Deploy security patches which includes scheduling, executing, and troubleshooting the deployment of security patches Provide certificate management services Provision and deliver computer systems and services Maintain computer systems in a fully operational state through monitoring, alerting troubleshooting, and performing repair and restoration activities to a compliant operational state Strong communication and interpersonal skills to interact with a diverse user community in quick-response situations and to

Staff Engineer, CPU Architectural Verification Austin, Texas, United States; Santa Clara, California, United States Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. At Tenstorrent, we build open, state of the art compute for real workloads and real developers. You will own CPU architectural verification, shaping how our out-of-order RISC-V CPUs are validated against architectural intent, ISA behavior, privileged architecture requirements, and system-visible correctness across the verification stack. This role is hybrid, based out of Austin, TX or Santa Clara, CA. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are - You bring 8+ years in CPU architectural verification, CPU design verification, or closely related CPU validation work. - You understand CPU ISA behavior, privileged architecture, exception handling, memory ordering, and high-performance out-of-order CPU microarchitecture in depth. - You are comfortable debugging architectural mismatches using

GCC Compiler Engineer Austin, Texas, United States; Santa Clara, California, United States; Toronto, Ontario, Canada Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. We are seeking a GCC Compiler Engineer to design, develop, and optimize compilers for next-generation RISC-V and AI compute architectures. You will work across hardware and software teams to improve performance, programmability, and integration of our custom toolchains into real applications. This role is fully hands-on and central to how developers interact with Tenstorrent hardware across both traditional compute and advanced machine learning workloads. This role is Hybrid, based out of Santa Clara, CA, Austin, TX, or Toronto, ON. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are - Experienced compiler engineer with deep knowledge of GCC and LLVM internals, comfortable optimizing for custom hardware targets. - Strong C/C++ developer with

Senior Algorithms Developer Tel Aviv Via is using technology to transform transportation around the world. From changing a single person's daily commute to reducing humanity's collective environmental footprint - we've got huge goals. We are looking for an experienced Senior Algorithms Developer to join our team and help design, build, and scale the systems that power our products. In this role, you will work on high-impact projects that combine cutting-edge technology, complex distributed systems, and challenging algorithmic problems in transportation, routing, and navigation. You will have the opportunity to own features end-to-end, make key technical decisions, and shape the architecture and reliability of large-scale systems. What You'll Do: - Architect, build, and scale robust, high-performance systems from initial design through deployment to production. - Own features end-to-end, from concept through development, testing, deployment, and maintenance, with strong accountability. - Develop features and APIs for concurrent applications in Golang. - Implement and improve geometric and graph algorithms to support core product - functionality. - Maintain Python and Java server applications, ensuring reliability and stability. - Write production-grade code that is efficient, reliable, maintainable, and optimized for performance. - Optimize application performance, uptime, and scalability, while maintaining high standards of code quality and thoughtful application design. - Run benchmarks and write analysis scripts for geographical data. Who You Are: - BSc in Computer Science or equivalent (required), with an MSc as an advantage. - 4+ years of hands-on software development experience , including work with one or more programming languages (Python, Go,

Applied Scientist, Console Science Santa Clara, California, USA We are looking for passionate, talented, and inventive Applied Scientists with a strong machine learning background to help build industry-leading Conversational AI Systems. Our mission is to provide a delightful experience to Amazon's customers by pushing the envelope in Natural Language Understanding (NLU), Dialog Systems including Generative AI with Large Language Models (LLMs) and Applied Machine Learning (ML). As part of our Science team in AWS Console, you will work alongside internationally recognized experts to develop novel algorithms and modeling techniques to advance the state-of-the-art in human language technology. Your work will directly impact millions of our customers in the form of products and services that make use language technology. You will gain hands on experience with Amazon's heterogeneous text, structured data sources, and large-scale computing resources to accelerate advances in language understanding. We are hiring in all areas of human language technology: NLU, Dialog Management, Conversational AI, LLMs and Generative AI. Basic Qualifications: - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Preferred Qualifications: - Experience using Unix/Linux - Experience in professional software development Amazon is an equal opportunity

Member of Technical Staff - Edge Inference Engineer San Francisco, United States, Boston, Remote About Liquid AI Spun out of MIT CSAIL, we build general-purpose AI systems that run efficiently across deployment targets, from data center accelerators to on-device hardware, ensuring low latency, minimal memory usage, privacy, and reliability. We partner with enterprises across consumer electronics, automotive, life sciences, and financial services. We are scaling rapidly and need exceptional people to help us get there. The Opportunity Our Edge Inference team compiles Liquid Foundation Models into optimized machine code that runs on resource-constrained devices: phones, laptops, Raspberry Pis, and watches. We are core contributors to llama.cpp and build the infrastructure that makes efficient on-device AI possible. You will work directly with the technical lead on problems that require deep understanding of both ML architectures and hardware constraints. This is high-ownership work where your code ships to production and directly impacts model performance on real devices. While San Francisco and Boston are preferred, we are open to other locations. What We're Looking For We need someone who: - Works autonomously: Given a target device and performance goal, you figure out how to get there without hand-holding. You diagnose bottlenecks, prototype solutions, and iterate until you hit the target. - Thinks at the hardware level: You understand cache hierarchies, memory access patterns, and instruction-level optimization. You can reason about why code is slow before reaching for a profiler. - Bridges ML and systems: You understand how neural networks work mathematically (matrix operations,

Camera Imaging Software Engineer, Camera & Photos Cupertino, United States of America iPhone is the most popular camera in the world, with billions of photos taken every year. The seamless integration of software and hardware has led to camera features like the Photonic Engine, Portrait mode, and Super-high-resolution photos which deliver magical experiences that surprise and delight our customers. The Camera Technologies & Systems team in the Camera & Photos org delivers amazing quality photos and videos by combining state of the art computer vision, image processing, machine learning, and artificial intelligence. As an engineer on our team you'll develop and extend those software pipelines, working side-by-side with the world-class engineers who made iPhone's camera what it is today, and build new great camera capabilities spanning the universe of Apple devices. Whenever you see a “Shot on iPhone” billboard, you see our work; it could be your work too. If you consider yourself an engaging and highly-collaborative engineer with excellent communication skills, and are comfortable in a dynamic environment, we have a rewarding opportunity for you. We're looking for a strong software engineer to help implement and optimize deep neural networks, and combine them with GPU-based image processing algorithms using Metal, to make photos look good. In this role, you will work closely with research and frameworks teams on integration of computer vision and computational photography algorithms in a performance- and memory-sensitive environment. You will then feed this experience back to the hardware architecture team to help drive future chip

Machine Learning Infra Engineer San Francisco Office | OnSite ABOUT REDUCTO Reducto is the agentic document platform for leading AI teams who demand enterprise performance at scale. We provide a comprehensive toolkit for working with documents the way a human would, combining custom in-house and leading frontier models to power efficient and accurate document workflows. We've grown rapidly, increasing revenue 8x year over year and partnering with hundreds of companies, from leading AI teams like Harvey, Vanta, and Scale, to enterprise customers across FAANG and top trading firms. Reducto has raised over $100M from world-class investors including a16z, Benchmark, and First Round Capital. THE OPPORTUNITY As an ML Infra Engineer, you'll play a key role in building the inference and training frameworks that make it possible to deliver results at scale. You'll collaborate closely with our ML and Platform teams to scale training across nodes, develop faster and more efficient serving, and create observability across the stack. This is a high-impact role where you'll help define what high performance ML training and inference look like at Reducto. WHAT YOU'LL DO - Build, and maintain our training and inference stack with an emphasis for fast iteration on training + flexibility for exploring new methods and high performance in inference. - Develop benchmarks for both sets of stacks to identify bottlenecks. - Explore SOTA advances in training and inference and work to apply them. - Design systems for scaling model training across multi-node, multi-GPU environments with strong reliability and observability. - Scale

AI Trainer - Advanced SQL Developers (Remote) Remote AI Trainer - Advanced SQL Developers About Prolific Prolific is not just another player in the AI space - we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. The role We're looking for SQL Developers to help train and evaluate cutting-edge AI models. If you have the necessary experience, we'll send you an assessment to test your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a Domain Expert participant, where you'll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay $40/hr per AI task completed. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter. What you'll bring SQL developer skills and verifiable professional experience as a SQL developer A willingness to take our skills verification test to assess your suitability for our Domain Expert participant pool Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time A reliable and fast internet connection and access to a computer A willingness to self-declare your earnings, as our participants are self-employed A Paypal account to receive payment from our clients What you'll be doing in the role Completing AI training tasks

Senior Compute HW Engineer US - California - San Diego posted: Posted 11 Days Ago

Data Scientist, Finance Forecasting San Francisco, USA (Hybrid) About ClickHouse Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 3,000 customers and ARR that has grown over 250 percent year over year, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads. The company's sustained, accelerating momentum was recently validated by a $400M Series D financing round. Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla. We're on a mission to transform how companies use data. Come be a part of our journey! ClickHouse is the fastest open-source analytical database in the world, processing billions of rows per second for thousands of organizations. As we scale our cloud business, the decisions that shape pricing, capacity planning, and go-to-market strategy need to be grounded in rigorous quantitative modeling, and that capability is being built from the ground up. We're hiring a founding Data Scientist to build ClickHouse's Finance forecasting and measurement capability from the ground up. You'll own and build the forecasting models, causal measurement programs, and analytical frameworks that directly shape how leadership plans the business. You'll define the approach, build the infrastructure, and set the standard for how data science operates here. Hybrid : We intend to fill this role