Data Steward Jobs

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: As the Data Center Supervisor at SpaceXSI Memphis, you will oversee the health and performance of our server and network infrastructure across data centers and global points of presence. You will lead a team of technicians, ensuring optimal operations and continuous improvement in our two most critical metrics: mean time to detect (MTTD) and mean time to repair (MTTR). Your role encompasses hands-on technical leadership, process optimization, and cross-functional collaboration to maintain and enhance our data center operations. RESPONSIBILITIES: Lead and mentor a team of data center technicians, fostering a culture of excellence and continuous improvement. Oversee the installation, maintenance, and troubleshooting of server and network infrastructure. Manage and optimize data center operations, including power supply cabling, fiber/optics labeling, and hardware decommissioning. Develop and enforce standard operating procedures (SOPs) and ensure adherence to safety protocols. Coordinate with engineering and provisioning teams to ensure seamless hardware intake and repair processes. Utilize internal applications for inventory and asset management, ensuring accurate

About the Team At DoorDash, the Data Science and Analytics team uncovers insights and translates them into actionable recommendations that drive decisions across the organisation. Analytics is integral to all areas of DoorDash, and this role sits within the global BizOps Analytics team with a specific focus on the Australia/New Zealand (ANZ) markets. About the Role You will be a key BizOps partner, working closely with the Strategy & Operations team and the ANZ Executive Leadership Team to turn data into actionable insights—with a specific focus on all things Merchant. In this role, you will work to identify and prioritise the local opportunities that matter most for Merchants to grow, operate, and monetize their business with DoorDash. This will cover areas such as merchant availability, menu quality, ads, promos, operational excellence, and more — improving outcomes for both Merchants and DoorDash. This is a hybrid role, with 3 days in-office and 2 days remote. You're excited about this opportunity because you will… Be a first-class thought partner to our Strategy & Operations and Executive teams and help them make decisions on what’s next for DoorDash Provide insights to enable our cross-functional team to understand marketplace dynamics, user behaviours, and long-term trends Use quantitative analysis and the presentation of data to see beyond the numbers and understand what drives our business Build full-cycle analytics experiments, reports, and dashboards using SQL, Python, R, or other scripting and statistical tools Identify and measure levers to help move essential metrics and make recommendations Work backwards from understanding and sizing problems to ideating solutions Produce recommendations and use statistical techniques and hypothesis testing and other experimentation techniques to validate your findings. We're excited about you because you have… 2+ years of experience in data analytics, consulting, or related quantitative roles and a degr

Who are we: Graviton Research Capital is one of the largest quantitative trading firms emerging out of APAC, with a strong footprint across 40+ global exchanges and a rapidly growing presence across Europe and the USA. We’re privately funded, long-term focused, and deeply invested in building high-performance teams that operate at scale in some of the most competitive markets globally. Role Overview: Managing Data Centre facility by interacting with different vendors Support the installation, monitoring, maintenance, and overall upkeep infrastructure and systems Liaising with third parties to maintain communication lines and data center infrastructure Monitor technical progress, track project deliverables, and provide regular status updates. Handle equipment procurement, returns, shipments, and overall inventory management. Coordinate with local and remote teams to troubleshoot technical issues and ensure stable connectivity and operations. Key Skill Requirements: 2-5 years of working experience in a Data Center environment (racking & stacking gear, cable management) Experience working for an exchange- NSE/BSE/MCX Deep understanding of data center installation and cabling standards Knowledge of data center ecosystem (cooling, electrical, networking, and structured cabling) Open to provide after-hours support as needed (must) Ability to work independently, with little direct management. An understanding of networking and systems concepts (circuits, IP routing, consoles, networking)

About Karya Karya provides AI-enabled earning and learning opportunities to economically underserved communities, and high-quality, ethically sourced datasets to research labs and technology companies. Digital workers earn at least 20 times the local minimum wage. The platform has delivered over 40 million tasks. About the role This role runs live client projects on the Karya platform. The work is the execution layer above the core product: project workflows, data jobs, checks, reports, and delivery. You will work with Operations and client teams on questions of progress, quality, pay, and files, and with platform engineers when a fix belongs in the product. Worker payouts and client deliverables depend on getting these checks right. Responsibilities • Run and monitor data jobs on remote Linux servers, and recover failed jobs from logs and process state. • Configure project workflows, including the handoff from automated processing to human tasks, and track what is in progress, held, or ready to deliver. • Write PostgreSQL and ClickHouse queries for throughput, completion, quality, pay, and delivery status. • Apply completion and quality rules to access, pay, and delivery decisions, after a sample check. • Write Python, SQL, or Bash scripts for those checks and decisions, and keep them in the repository. • Package datasets to client specifications, move them through cloud object storage, and record what has shipped. • Read the TypeScript / Node.js codebase to follow tasks, assignments, payments, and file storage. • Reply to Operations and client teams with the finding, the change made, and what is still open. • Report repeated manual work to platform engineering, with an example. Requirements • PostgreSQL, including joins, aggregates, and JSON fields. • Scripts in Python, Bash, or TypeScript, checked into git. • Ability to read a TypeScript codebase and a relational schema. • Linux for running jobs: SSH, logs, long-running processes, and disk. • Ability to write tec

CSQ327R12 Enterprise customers are investing in AI, but most are stuck between a successful pilot and real organizational adoption. The gap is not technology. It is whether the workforce can change how it works. You will own end-to-end workforce transformation engagements with Databricks' largest customers. You will diagnose where a customer's workforce is today, define what needs to change, build the transformation plan, and drive execution until adoption sticks. You are the directly responsible individual for each engagement, not a contributor to someone else's project. The Impact You Will Have Own the full transformation lifecycle for each customer, from workforce assessment through capability pathways, operating rhythm, and measurement. You build the plan and you execute it. Run 2 to 3 concurrent engagements across different formats. These range from short-cycle assessments (2 to 4 weeks) to coached transformations (8 to 12 weeks) to deep embedded engagements (12 to 16 weeks). You will manage a mixed portfolio simultaneously. Design for multiple organizational layers within a single engagement. That means building executive sponsorship with CDOs, CIOs, and CHROs while also architecting the manager enablement and individual contributor adoption layers underneath. Drive execution, not just planning. You will stand up the operating rhythm, coach internal champions, unblock adoption barriers, and adjust the plan when reality diverges from the model. Design the human-agent collaboration model for each customer's workforce. Assess workflows and distinguish what should stay human from what should be automated, agent-assisted, or fully agent-led. Design differentiated pathways for builders in technical roles and users in workflow roles. Shape how engagements are scoped and priced. You are closest to the work and will ensure that commercial commitments are deliverable. Turn what you learn into repeatable tools and playbooks that can scale beyond practitioner-led delivery

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. WHY DATA SCIENCE & ANALYTICS? The Data Science & Analytics organization's mission is to increase our speed, frequency and acumen of making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling and machine learning. Aligned and partnering with product verticals, we use this extensive tool belt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products and measure impact on our community of players and developers. WHY CONTENT SAFETY? Content safety and moderation are paramount to maintaining a positive, engaging, and trustworthy platform experience for our global community. In this role, you will apply your expertise in data science, statistics, and causal inference to strategically define, measure, and improve the detection and mitigation of harmful user-generated content and violative on-platform behaviors. Your focus will be on asset-based content across the platform - including games, avatars, and emerging in-game behaviors - by

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: As a Data Center Fiber Technician at SpaceXSI's data center, you’ll dive into the world of fiber optic systems, applying your core skills and eagerness to grow in a high-growth tech environment. Working onsite with passionate teams, you’ll tackle hands-on challenges to install and maintain critical network infrastructure, ensuring seamless connectivity. Expect to collaborate closely, refine your expertise, and keep our systems running smoothly to support SpaceXSI's mission of accelerating human scientific discovery through AI. RESPONSIBILITIES: Under the guidance of the Foreman Supervisor, Project Manager, and Superintendent manage all phases of data center installation projects Ensure a safe and productive work environment Develop sensor indicators and conduct timely inspections, so that a faulty fiber optic system does not destabilize its performance Troubleshoot, resolve, repair and install fiber optics systems, ensuring that they work properly Examine and replace faulty and/or old fiber optic cables Organize scheduled maintenance routines Take care of fiber splicing and rectify fiber optic problem areas Keep track of the signal strength of different devices F

Data Scientist II, Cohere Health, Inc., Boston, Massachusetts (Remote) Duties: Gather business requirements and apply trend analysis to identify actionable insights using analytic tools. Analyze healthcare claims and authorization data to identify outliers, interpret patterns, and assess trends and opportunities. Apply large language models (LLMs), stochastic optimization methods, and related technologies to support decision-making. Monitor industry trends, regulatory changes, and emerging fraud schemes to support detection strategy development, maintain methodology documentation, and present findings to leadership. Train, fine-tune, and implement LLMs and deep learning models for tasks such as anomaly detection, classification, and automated analysis of security-related or operational data. Analyze datasets to assess expected impacts and return on investment, including effects on medical expense, administrative cost, and clinical outcomes. Develop data models, algorithms, and simulations to support analytical objectives. Build visualizations and dashboards to communicate analytical findings and support business workflows. This is a fully remote position and may be performed from anywhere within the United States. Occasional travel to company headquarters in the U.S. for onboarding, team meetings, and company events may be required. Requirements: Must have a Master’s degree in Data Science, Statistics, Biostatistics or related field (willing to accept foreign education equivalent) and 36 months of experience as Analyst or related position analyzing datasets. Must possess three (3) years of experience (may be gained concurrently with above experience) in the following skills: Analyzing healthcare datasets, including EMR/EHR data, medical and pharmacy claims data, and Social Determinants of Health (SDoH) data; Performing data quality analysis to identify data quality issues, gaps, or inconsistencies; Building scalable AWS Airflow pipelines to ingest, integrate, and tr

Spaulding Ridge is an advisory and IT implementation firm. We help global organizations get financial clarity into the complex, daily sales, and operational decisions that impact profitable revenue generations, efficient operational performance, and reliable financial management. At Spaulding Ridge, we believe all business is personal. Core to our values is our relationships with our clients, our business partners, our team, and the global community. Our employees dedicate their time to helping our clients transform their business, from strategy through implementation and business transformation. As a Data Solutions Architect , you will lead the strategy, architecture and delivery of enterprise-scale data and analytics solutions for our clients. Working across data architecture, software engineering, cloud platforms, analytics engineering and client advisory, you will translate business priorities into secure, scalable, well-governed and cost-effective solutions. You will partner with executive stakeholders, business leaders and technical teams to define data roadmaps and target-state architectures, evaluate technology options and guide delivery from proposal and estimation through to implementation, enablement and support. You will help clients modernise fragmented data environments and establish trusted data products, intuitive analytics experiences and reusable engineering capabilities that deliver measurable business value. This role also provides technical leadership across multiple projects and teams. You will mentor engineers, facilitate architecture reviews and technical workshops, establish standards and best practices, and act as a trusted adviser who can challenge assumptions, identify opportunities and influence strategic decisions. Key Responsibilities: Lead the design and governance of modern data warehouses, data lakes, lakehouse platforms, semantic layers, dimensional models, master data strategies and analytic

Perplexity is AI for people who expect more. On the data team, that means building the systems that make our data reliable, understandable, and usable by both humans and AI. We're looking for an analytics engineer or data engineer who wants to build the foundation for an AI-native data organization. You'll design core data models, pipelines, semantic layers, data quality systems, governance practices, and warehouse workflows that power the entire company: helping teams make strategic decisions, operate the business, and move faster with trusted data. You'll also make sure those systems are secure, privacy-aware, and legible to AI agents, data scientists, and the rest of the company. This role is for someone who can operate at the boundary of analytics engineering, data engineering, data governance, and internal product. You care about dimensional modeling, dbt standards, cost-aware warehouse design, access controls, privacy, and the details that make data trustworthy. You also believe AI should make the data stack faster, easier to maintain, and more accessible across the company without weakening security or governance. What You'll Do Build the core data foundation - design and maintain high-quality data models, marts, and pipelines that make analysis fast, reliable, and reusable. Manage the data warehouse - help own warehouse architecture, environments, permissions, performance, cost, data lifecycle, and operational hygiene so the platform scales cleanly. Make the warehouse AI-readable - own the documentation, semantic context, metadata, lineage, and retrieval patterns that AI systems depend on to understand and query Perplexity's data correctly. Own data modeling standards - define and champion dbt patterns, dimensional modeling practices, naming conventions, tests, and review processes. Lead data governance practices - define standards for access, ownership, lineage, documentation, retention, quality, and sensitive data handling across the analytical warehouse.

Where Performance Meets Purpose Iconic golf brands. Commitment to excellence. Colleagues who care. Working at Acushnet Europe means you bring your background and experience to a company with a rich history of creating the best products for dedicated golfers around the world. Your performance has purpose at Acushnet Europe. Based in St Ives, Cambridgeshire, our golf products are recognized globally for their unmatched quality, made possible by the dedication and pride we put into everything we do. Looking to kick-start your career in data analytics with a global company? We're looking for a Data Analyst to join our team on a 6-month fixed-term contract. This is an excellent opportunity for a graduate or someone early in their analytics career to gain hands-on experience in a global business, supporting our Brand, Sales and Business Intelligence teams with meaningful data and insight. What you'll be doing 🔹 Collecting and analysing market, sales and consumer data. 🔹 Updating and maintaining Power BI dashboards and reports. 🔹 Designing, analysing and reporting on consumer surveys. 🔹 Supporting Brand and Sales teams with ad hoc analysis and reporting. 🔹 Assisting the BI team with data preparation and SAP-related projects. 🔹 Improving customer segmentation and business reporting. 🔹 Helping colleagues make better use of data and visualisation tools. What we're looking for 🔹 Degree-level education or equivalent. 🔹 Some experience in data analysis, business intelligence, market research or reporting through work experience, internships or university projects. 🔹 Strong Excel skills and experience using Power BI or similar reporting tools. 🔹 A curious, analytical mindset with excellent attention to detail.

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 As an engineer on this team, you'll sit at the intersection of IT and facilities. You'll build the power models, availability models, topology and load management requirements that operate more efficiently against our physical envelope. Your work will directly shape which sites we lease, what SLAs we sign, how far we oversubscribe, and where workloads are placed. What You'll Do Topology and load management. Own the power and cooling topology of our fleet as a living dataset, validate it and its telemetry against how the buildings really behave, and define how load management behaves under failure across chips and capacity providers, from requirements through commissioning and incident support. Reliability modeling. Build and audit availability models of data center electrical and mechanical systems, define Cloud availability zones and failure domains, from a single site to the whole fleet. Power modeling and load forecasting. Build models of power draw from chip to rack to facility, by workload and hardware generation, and use them to set capacity planning targets, design envelope, and load forecasting. Partner diligence. Work with data center developers, operators, cloud providers and chip vendors to drive design improvements and hold them to SLA-grade performance, with technical diligence on their architectures, reliability studies, rack power specifications and operator interfaces. What We're Looking For Deep knowledge of data center power distribution and cooling architectures, redundancy schemes, and how they interact with IT load profiles. Depth in at least one of: reliability engineering, power modeling and

Build something people love Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $155 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada. We're proud of what we've built — and we're just getting started. Read our Culture Manual and learn more about how we work . The Data Science & Engineering (DSE) team consists of analytics engineers, data scientists, and software engineers and is responsible for enabling data-driven decision making and building data products at Wealthsimple. The Growth Data focuses on driving new user acquisition and net deposit targets through marketing efforts including paid, organic, and branding initiatives. Our team is structured around key domain areas including promotions, referral and social sharing, paid marketing, and organic/upper funnel marketing measurement. We work closely with cross-functional partners in Growth, Product, and Engineering to optimize our marketing investments and scale Wealthsimple's customer base. The Growth Data team plays a critical role in enabling data-driven decision making across all marketing channels. We're looking for a Senior Data Scientist who will serve as a domain expert for one of our key marketing pillars, driving optimization through sophisticated algorithms, measurement systems, and strategic insights that influence millions of dollars in marketing spend. In this role, you'll be the DRI (Directly Responsible Individual) for your domain area, building data products and analytics solutions that directly impact business outcomes. You'll work on challenging problems ranging from marketing optimization algorithms to attribution modeli

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role Part of the broader Addepar Data organisation, you will be the primary authority on the operational administration and integrity of market data. This is a transformative leadership mandate: we are looking for an architect to take full ownership of the role, build the team, and evolve our market data operations into a best-in-class function that supports $9T+ in platform assets. Applicants must have, and maintain, the right to work in the United Kingdom from the first day of employment. Please note that visa sponsorship is not available for this role. What You’ll Do Build & Transform: You are responsible for designing the roadmap for Market Data operations. You will lead, train, and mentor a high-performing team, turning the function into a centre of excellence that balances technical integrity with commercial agility. Mentorship: Actively upskill the team in complex licensing frameworks and data observability, ensuring every team member is an expert in the "Addepar way" of data management. Ownership: Take end-to-end accountability for the "who, what, and how" of data access, ensuring we stay ahead of audit requirements and vendor evolutions. Access Architecture: Manage and audit user access to market data (internal and external ben

Data Architect Design the blueprint. Architect the future. Empower data transformation. The Role Capco is seeking a Data Architect to deliver complex data architecture initiatives across our financial services clients. In this consulting role, you’ll guide clients through their data transformation journeys, defining strategy, designing architecture, and building scalable, cloud-based platforms. You’ll also contribute to shaping Capco’s modern data architecture offerings. What You’ll Do Lead agile consulting projects focused on modern data architecture and cloud transformation Define and implement scalable enterprise data strategies across programmes and business units Design and deliver data platforms using cloud-native technologies on AWS, Azure, or GCP Drive integration of data governance, cataloguing, privacy, and metadata capabilities What We’re Looking For Proven experience in data architecture, cloud data engineering, and enterprise platform design Deep knowledge of modelling practices including contextual, logical, and physical data modelling Hands-on experience with cloud-based data ecosystems (AWS, Azure, GCP) and modern data stacks Understanding of cloud data migration, data management tools, and security frameworks Strong communication skills to engage stakeholders across technical and non-technical teams Bonus Points For Data or cloud architecture certifications (e.g., AWS, Azure, GCP, Databricks) Experience in data lake design and large-scale data migrations Familiarity with graph computing and semantic data modelling Background in Financial Services with stakeholder management in complex environments Ability to lead teams and contribute to the development of Capco’s data architecture propositions Why Join Capco Deliver high-impact technology solutions for Tier 1 financial institutions Work in a collaborative, flat, and entrepreneurial consulting culture Access continuous learning, training, and industry certifications Be part of a team shaping th