Data Steward Jobs

About us: Artefact is a new generation of a data service provider, specialising in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth. Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 1000+ client base around the globe. We have 1000 employees across 20 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client. About the role: As a Data Scientist, your role will encompass: Conducting ambitious projects in the transformation of clients through data Collaborating with the other Divisions (Activation, Creativity, and Strategy) to provide comprehensive services to your clients Developing privileged relationships with our clients, using your technical abilities to assist in the transformation of their marketing department Among your responsibilities as a Data Scientist, you will be responsible for: Performing data projects Securing delivery on your projects Communicating your work and achievements among the team Working closely with your Consulting counterpart to build and maintain strong relationships with your clients and best understand their needs Ensuring that your solutions are bringing values to the client problematic Being a good team player, knowing your role and responsibility in the global ambition Qualifications: Education & experience

About the role As a Data Analyst, you will help organizations turn complex data into meaningful insights and practical business solutions. You will work at the intersection of data, technology and business, supporting clients in improving data foundations, processes and decision-making. In this role, you will contribute to data-driven transformation initiatives, working closely with business stakeholders, data teams and technology teams. You will combine hands-on data preparation and analysis with project management and a strong understanding of business needs. What you will do Data Analysis & Preparation Collect, combine and prepare data from multiple sources for analysis and reporting. Design, maintain and optimize data flows and transformation processes. Analyze datasets to identify trends, patterns, anomalies and opportunities. Translate business questions into data-driven analyses and practical recommendations. Investigate data quality issues and work with data owners and providers to resolve them. Develop dashboards, visualizations and analytical outputs to support business decision-making. Data & Process Transformation Analyze existing data processes and identify opportunities for improvement and automation. Contribute to the redesign and optimization of data flows and analytical processes. Support data migration and transformation initiatives, including the transition to new data environments and tools. Challenge existing ways of working and propose innovative and scalable solutions. Help establish robust and sustainable data foundations. Project & Stakeholder Management Manage and coordinate data-related activities and project deliverables. Work closely with business users, data providers, IT teams and other stakeholders across different functions and locations. Translate business and operational requirements into clear data solutions. Plan, monitor and communicate progress, risks and dependencies. Present findings and recommendations cle

Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. This internship will take place from January 25 - April 16 and you will need to be able to work out of our SF office during this time. What You'll Achieve: Conduct data analyses to gain insights about Notion and use these insights to uncover opportunities for improvements in our product and business. Communicate these insights with actionable recommendations to cross-functional teams (insights are useful, impact is even better!). Work with cross-functional partners across the product and business to learn about their functions and use data to advance their respective areas. Create metrics and build dashboards to monitor the growth and health of Notion. Communicate insights and recommendations effectively to leadership and have an impact on strategic decision-making. Qualifications: Pursuing a bachelor's or master's in a quantitative field such as Economics, Statistics, Applied Math, Engineering, Computer Science, or Natural Sciences. Must graduate before December 2027. This internship will take place from January 25 - April 16 and you will need to be able to work out of our SF office during this time. Previous research or internship

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Training and serving frontier AI models requires compute infrastructure at a scale and density that pushes past what conventional data center designs were built to handle. Anthropic’s Data Center team is responsible for delivering that physical infrastructure — partnering with build partners, equipment manufacturers, and utilities to stand up facilities that can reliably power some of the largest accelerator clusters in the industry. As a Data Center Electrical Engineer based in the US, you’ll lead the electrical design of our facilities across our rapidly expanding US portfolio — owning the architecture from the utility service entrance through to the rack. You’ll develop and maintain the reference designs and specifications our build partners work against, review their engineering submittals, and run the analysis needed to make confident decisions on topology, redundancy, and equipment selection. You’ll ensure the electrical architecture keeps pace with rapidly increasing rack densities and the unique load characteristics of large-scale ML training. A central part of this role is speed-to-capacity through prefabrication and modular construction. You’ll help drive Anthropic’s offsite-manufactured electrical strategy — modular skids, e-houses, and prefabricated power assemblies — that compress schedules and reduce onsite labor. You’ll bring deep familiarity with US electrical codes and the local network and regulatory environment, and act as Anthropic’s on-the-ground electrical subject-matter expert with local utilities and interconnection/transmission operators (e.g., ISOs/RTOs), agencies having jurisdiction, vendors,

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Training and serving frontier AI models requires compute infrastructure at a scale and density that pushes past what conventional data center designs were built to handle. Anthropic’s Data Center team is responsible for delivering that physical infrastructure — partnering with build partners, equipment manufacturers, and vendors to stand up facilities that can reliably cool some of the largest accelerator clusters in the industry. As a Senior Data Center Mechanical Engineer based in the United States, you’ll lead the design direction and technical oversight of building mechanical systems — cooling, chilled-water distribution, liquid cooling, plumbing, and fire protection — across our rapidly expanding U.S. portfolio. This is a senior individual contributor role focused on driving and reviewing mechanical design from concept through detailed design and construction documentation produced by external engineering firms and development partners, ensuring every facility meets Anthropic’s standards for reliability, efficiency, and scalability. You’ll own the mechanical design direction from Basis of Design through construction and commissioning, serving as the primary technical interface between Anthropic’s internal teams and our external engineering and development partners. A central part of this role is speed-to-capacity through prefabrication and modular construction — modular cooling skids, prefabricated piping assemblies, and design for offsite manufacture that compress schedules and reduce onsite labor. You’ll bring deep familiarity with U.S. mechanical, plumbing, and fire codes and the local regulatory environment, an

Cordance is dedicated to accelerating the growth of vertically focused business-to-business (B2B) software-as-a-service (SaaS) companies through acquisition and long-term tactical and financial guidance. We’re experienced operators and subject-matter experts with a passion for software and building businesses. We partner with founders to help them scale their businesses and realize their companies’ full potential. We look for businesses with strong leadership and high potential for profitable growth, and work together to increase year-over-year revenue, company efficiency, and impact. Cordance envisions that all companies we work with achieve their full potential. We embrace what makes each company great and build on those foundations. We believe in elevating a company as it scales, delivering dignity to the organization and its employees, and sharing a passion for building a legacy. Position Overview The Data Architect will define and lead the enterprise data architecture for Cordance Commerce, with primary responsibility for unifying reporting platforms, data models, and analytics capabilities across Solutions, Secure Retail, Upright, and Pearl Dive. This is a hands-on technical leadership role for someone who can turn fragmented operational data and customer-specific reporting into a scalable, governed, and reliable data platform. The role partners closely with Database Administrators, Business Intelligence professionals, Engineering, Product, Finance, Customer Success, and business leaders. The Data Architect will establish a practical migration strategy that separates analytical workloads from transactional systems, protects product performance, preserves critical customer reporting, and enables a trusted source of data across the portfolio. Key Responsibilities Own the target-state data architecture and roadmap for a unified reporting and analytics platform across Cordance Commerce products. Assess current transactional databases, data pipelines, reporting too

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. As a Data Center Engineer , you'll help us scale our Core/Edge Data Centers and hardware infrastructure at a time of incredible growth for our business. At Roblox, you'll have boundless opportunities to shape the future of the Imagination Platform™ and demonstrate your passion for delivering thoughtful solutions in front of a global audience. If you know what it takes to build and operate hardware infrastructure that can sustain millions of concurrent players year-round and you take play as seriously as we do, you'll fit right into our highly experienced and ever-expanding engineering team. You will report to the Technical Lead Data Center Engineer. You will: Develop and maintain the Core/Edge Data Center and hardware infrastructure to meet the large scale and real-time requirements of our Imagination Platform™ to ensure our community has an awesome experience anywhere in the world. This includes all aspects of the server, network infrastructure, power, and environmental life cycles. Own efforts to track and mitigate systemic issues preventing hosts from returning to service. Identify and solve critical problems and prevent them from re-occurring via root cause analysis and giving rec

Aircall is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale customer-facing teams. We’re redefining customer communications by bringing voice, SMS, WhatsApp, and AI together into one seamless workspace. Our momentum comes from a simple idea: help teams work smarter, not harder. Aircall’s AI Voice Agent automates routine calls, AI Assist streamlines post-call work, and AI Assist Pro delivers real-time guidance so people can do their best work. The result is higher revenue, faster resolutions, and teams that scale with confidence. Aircall is headquartered in Paris, our European HQ, with a strong North American presence anchored in Seattle, our North American HQ, and teams across Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. We’ve built a product customers love and a business that’s scaling quickly, backed by world-class investors and driven by rapid AI innovation across multiple product lines. At Aircall, you’ll join a company in motion. We’re ambitious, product-driven, and execution-focused, with visible impact, fast decisions, and real growth. How we work at Aircall : We’re customer-obsessed, data-driven, and focused on delivering meaningful outcomes. We value ownership, continuous learning, and thoughtful speed. If you thrive in a collaborative, fast-moving environment where trust and impact matter, you’ll feel at home here. About the role As a Data Scientist, you will provide invaluable insights to our product and business teams, working closely with our product and engineering leaders. You'll support impactful initiatives including new feature launches, product adoption, pricing, and experimentation. You will collaborate cross-functionally primarily with Product, Software Engineering, and Data Engineering, as well as Marketing, Sales, Finance, and Account Managers to translate data needs into powerful solutions. You'll a

Artefact is a next-generation data and AI consulting firm dedicated to accelerating the adoption of data and AI to create measurable business impact across the full enterprise value chain. We sit at the intersection of consulting, data science, AI technologies, data engineering, and digital transformation. We do not just advise — we build, implement, and deliver results our clients can measure. Our teams bring together consultants, data scientists, data engineers, AI engineers, analysts, and digital experts to solve complex business challenges with pragmatic, production-ready solutions. As we continue to grow in the US, we are building a team of entrepreneurial data and AI talent who can help clients move beyond experimentation and into scalable, governed, value-generating AI adoption. The Role Artefact is looking for an AI & Data Consulting Manager: someone who runs projects autonomously, develops the people on them, grows the client relationship — and builds with AI along the way. Managers at Artefact are AI-literate builders. You use AI tools every day to produce your own work faster and better, and when a recommendation needs proof, you can prototype it: open Claude Code or Gemini CLI and turn an idea into something the client can click on. We need someone who is not afraid of the terminal — someone who, with the help and guidance of AI, will build the thing rather than just describe it. What You'll Do Manage projects end to end: structure sub-streams, distribute work fairly, set team OKRs, and give sponsors clear visibility. Build robust plans that anticipate deadlines, delays, and risks — and communicate them before they become surprises. Structure mission deliverables: write C-level executive summaries autonomously and build presentation storylines with partner support. Hold Artefact's quality bar on everything that leaves the team. Your recommendations are grounded in hands-on understanding of the AI stack. Define client needs through interviews with cli

Artefact is a next-generation data and AI consulting firm dedicated to accelerating the adoption of data and AI to create measurable business impact across the full enterprise value chain. We sit at the intersection of consulting, data science, AI technologies, data engineering, and digital transformation. We do not just advise — we build, implement, and deliver results our clients can measure. Our teams bring together consultants, data scientists, data engineers, AI engineers, analysts, and digital experts to solve complex business challenges with pragmatic, production-ready solutions. As we continue to grow in the US, we are building a team of entrepreneurial data and AI talent who can help clients move beyond experimentation and into scalable, governed, value-generating AI adoption. The Role Artefact is looking for a Senior AI & Data Consultant: an analytical, client-facing consultant who is also a hands-on builder with AI. You will perform advanced analytics, interface directly with clients, and keep project efforts aligned and on track — and you will do it AI-natively. Our senior consultants use AI tools to analyze faster, write better, and prototype what they recommend. When the team needs a quick proof of concept, you're the one who opens Claude Code or Gemini CLI and builds it. We need someone who is not afraid of the terminal. What You'll Do Define client needs through interviews with client teams and technology partners. Perform advanced data analysis and research on high-impact, strategic client problems. Help build, formulate, and present strategic data and AI recommendations. Keep internal project efforts aligned and on track, and interface with clients with confidence and care. Use AI tools daily across your work: analysis, synthesis, writing, and quality checking — with the judgment to verify outputs. Prototype ideas with agentic coding tools (Claude Code, Gemini CLI, Codex): a working demo, an automated analysis, a small internal tool. Apply

Artefact is a next-generation data and AI consulting firm dedicated to accelerating the adoption of data and AI to create measurable business impact across the full enterprise value chain. We sit at the intersection of consulting, data science, AI technologies, data engineering, and digital transformation. We do not just advise — we build, implement, and deliver results our clients can measure. Our teams bring together consultants, data scientists, data engineers, AI engineers, analysts, and digital experts to solve complex business challenges with pragmatic, production-ready solutions. As we continue to grow in the US, we are building a team of entrepreneurial data and AI talent who can help clients move beyond experimentation and into scalable, governed, value-generating AI adoption. The Role Artefact is looking for a Director of AI & Data Consulting to help lead our US consulting practice. Our consultants are not spectators of the AI transformation they advise on — they are builders. A Director at Artefact wins engagements with C-level executives, leads multidisciplinary teams to deliver them, and is personally fluent in the AI tools reshaping our clients' businesses. When a client asks what an agentic workflow could look like, you don't just describe it — you can open Claude Code or Gemini CLI and have a working prototype in the room by the next meeting. We need someone who is not afraid of the terminal. This is a role for a leader who combines consulting excellence, commercial drive, and genuine AI literacy — and who can grow both a client portfolio and the people around them. What You'll Do Serve as the primary contact and trusted advisor for client executives — CMO, CDO, CIO, and often CEO — on data and AI transformation. Win engagements: develop the client portfolio, grow the US commercial pipeline, and build and present winning proposals. Lead multidisciplinary teams of consultants, data scientists, AI engineers, and analysts, and orchestrate Artef

How does a company with thousands of people building hundreds of products stay focused on what matters most? That's the question the Company Planning and Execution (CPE) team works on every day. We design the systems, processes, and insights that help Spotify plan, prioritise, and deliver at scale. As a Data Scientist on CPE, you'll sit at the intersection of data, strategy, and operations. You'll bring clarity to complex questions by turning operational and strategic information into clear stories, recommendations, and decision frameworks that help leaders and teams act faster and smarter. You'll also explore how AI and automation can change the way people access insights and make decisions. You'll work closely with data scientists, engineers, PMs, and business partners across the company to help refine how Spotify executes at scale. If you like making sense of ambiguity, care about how organisations work, and want your analysis to shape real decisions, this is the role. What You'll Do Formulate hypotheses related to how Spotify plans and delivers, and communicate insights effectively to a range of audiences. Apply analytical techniques — including statistical models and machine learning — to identify trends and generate insights that improve how we work. Build and maintain the data models, pipelines, and dashboards that provide visibility into how Spotify plans and executes. Develop structured narratives and recommendations — not just charts, but the "why" and "so what" — in our semi-annual Planning and Execution Insight reports and recurring briefings. Explore how AI and automation can make insights faster to produce and easier to access across the company. Who You Are Curious about how organisations work — not just the data, but the decisions and systems behind it. 5+ years of experience with a quantitative background in science, economics, engineering, or a related field. <li

About us: Artefact is a new generation of a data service provider, specialising in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth. Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 1000+ client base around the globe. We have 1000 employees across 20 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client. About the role: As a Data Analyst, your role will encompass: Conducting projects to accompany the transformation of your clients’ businesses through the effective collection, processing, and visualisation of data Extracting valuable insights from our clients’ marketing-related data sources. Designing dashboards for marketing decision-making while taking into account the business needs Accompanying our clients in the conception and implementation of data architectures and data pipelines, from collection to monitoring. Actively contributing to the expertise level and competencies of the Data & Analytics team Closely collaborate with the other divisions (Media & Activation, Creation, Consulting, Data Science and Data Engineer) to provide comprehensive services to your clients Qualifications Having an academic level of education (Bachelor or Master), in a data-driven working environment, you have experience or have knowledge in : A mini

Artefact is a new generation of data service providers, specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth. The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner… What will you be doing? Securing delivery on your projects Communicating your work and achievements among the team Working closely with your Consulting counterpart to build and maintain strong relationships with your clients and best understand their needs Ensuring that your solutions are bringing values to the client problematic Being a good team player, knowing your role and responsibility in the global ambition What are we looking for? A Master’s degree in machine learning, mathematics, computer science, or related fields Hands-on experience developing and applying data-driven solutions in a corporate or consulting setting, preferably in a consumer marketing context (experience in the web industry is a plus) Strong knowledge of data processing, data modeling, algorithms, and data architecture Intellectual curiosity and excellent problem-solving skills, including the ability to structure and prioritise an approach for maximum impact Artefact is the place to be: come and build the future of data and marketing! Innovation : We have a passion for creating impacting projects and believe innovation can come from anyone. Action: We make things rather than telling people how to make them. Collaboration : We believe in bringing talented people together, winning together, and in learning from each other.

Biohub is the first large-scale initiative bringing frontier AI models, massive compute, and frontier experimental capabilities under one roof. We're building a general-purpose system to accelerate scientific discovery, integrating frontier AI models, biological foundation models, and lab capabilities, with the ultimate goal of curing disease. Our technology powers scientists around the world, translating AI capabilities into tools that accelerate research everywhere. The Team Our AI research team sits at the heart of our mission to unlock new dimensions of biological understanding. You will leverage state-of-the-art AI to accelerate discovery and drive transformative insights in biology—developing novel AI models purpose-built for biological research, engineering robust systems that enable breakthrough science at unprecedented scale, and translating these advances into practical tools that empower researchers worldwide. Our approach is comprehensive and integrated, bringing together world-class AI model development, exceptional engineering talent, high-quality biological data, powerful computing infrastructure, and strategic partnerships. Success requires excellence across five interconnected pillars: training frontier AI models specifically for biology; building engineering systems that maximize research velocity and efficiency; executing a sophisticated data strategy that fuels AI development; operating a world-class AI compute platform; and creating impactful products that transform AI capabilities into accessible scientific tools. The Opportunity This role is part of the Data team, which focuses on owning the strategy, sourcing and implementation for data supporting AI research and development. Our goal is to maximize the speed, agility, and capability of biological AI research by connecting public data resources and Biohub's experimental platforms to AI systems. The data that trains biological frontier models comes in dozens of modalities—sequences, images, sp