Data Instructor Jobs

About the Team OpenAI’s Pricing team sits at the center of product, go-to-market, finance, and strategy. We define how OpenAI packages, prices, and scales access to our products across consumer, SMB, and enterprise customers, turning deeply technical product usage and market signal into company-level decisions. We’re looking for a senior Data Scientist to be the first dedicated data science hire on the Pricing team. This is a rare zero-to-one role with direct exposure to OpenAI’s CFO, Head of Pricing, and senior leaders across Product and GTM. You will help build the analytical foundation for pricing at OpenAI, shape executive decisions, and define what excellent pricing data science looks like. About the Role As a founding Data Scientist for Pricing, you will design the analyses, models, experiments, and decision frameworks that guide pricing strategy across OpenAI’s business. You’ll work side-by-side with the CFO, Head of Pricing, and senior leaders across Product and GTM on ambiguous, high-leverage questions where simple reporting is not enough, translating customer behavior, product usage, revenue outcomes, and market dynamics into clear recommendations. This role combines hands-on technical depth with executive-ready storytelling. You should be excited to build from first principles, operate with high independence, and influence decisions that shape how OpenAI grows and serves customers around the world. In This Role, You Will Serve as a senior analytical partner to the CFO, Head of Pricing, Product, and GTM leaders on pricing and monetization decisions. Build the analytical foundation for pricing across consumer, SMB, and enterprise segments, from exploratory analysis to repeatable decision systems. Design and execute analyses that connect customer behavior, product usage, conversion, retention, revenue outcomes, and pricing strategy. Develop models, algorithms, experiments, and decision frameworks for complex pricing, packaging, discounting, and willingness-t

Establish the single source of truth for customer data. Then use it to get every customer to value, fast. On-site | Vancouver Office – 564 Beatty St The Problem We're Solving EviSmart™ has grown fast — data now lives in more places than it used to: the backend that runs the business, the CRM where sales and customer success work, and the data every lab brings with them when they join the platform. Reporting takes more cross-checking than it should, and the data-mapping step in lab onboarding — simple in concept but exacting in practice. This role exists to close that gap: one person who owns making EviSmart's customer data a single source of truth. Why EviSmart 300 people. Two hubs: Vancouver HQ and Manila operations. 145% year-over-year SaaS growth — the market is responding. 28 countries. One platform. The dental industry's Autopilot. An in-house AI model research and development team building proprietary intelligence. Why This Role, Right Now Sales, Customer Success, and go-to-market teams need to open one system and trust what they see — today they can't. And as the platform scales, onboarding has to become a repeatable machine instead of a per-customer rescue effort. These aren't future problems; they're live ones. The first months of this role are deliberately concrete: specific systems, specific deliverables, measured outcomes. But the mandate behind them is bigger — every system the platform adds and every AI capability the company builds will sit on the customer data foundation this person establishes. What You'll Own Own — Reconciliation of customer data across systems: pull a clean customer list from the backend into the CRM — no duplicates, no ghost accounts — audit what's already in HubSpot (call logs, deal history, contacts), and make the call on what stays, what gets cleaned, and what gets automated. Build — A live two-way integration between HubSpot and the backend: data flows automatically, actions trigger fro

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 Anthropic Anthropic's mission is the responsible development and maintenance of advanced AI for the long-term benefit of humanity. We are a safety-focused AI company working to build reliable, interpretable, and steerable AI systems. As our compute infrastructure scales to support frontier model training and deployment, we are building a world-class team to design, deliver, and operate the physical facilities that make that possible. About the Role We are looking for a Principal Data Center Architect with deep expertise in Civil, Structural, and Architectural (CSA) design to join our growing infrastructure team. This role is the technical owner for the physical building fabric of Anthropic's AI compute facilities — from the earliest site feasibility studies and test fits through reference design development, design partner oversight, and construction delivery. As Anthropic scales its data center program across multiple sites in the United States and internationally, you will set the civil, structural, and architectural standards that govern how our facilities are designed and built. You will work directly with design-build partners, AE firms, and internal mechanical, electrical, and IT infrastructure teams to ensure our facilities are optimized for high-density AI workloads, constructable on aggressive timelines, and replicable across a growing portfolio. This is an owner's engineer role — you are the technical authority, not a consultant. You will be expected to make binding design decisions, identify problems before they reach the field, and drive standardization across a pipeline of concurrent projects globally.

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. Roblox is seeking an On-Site Asset Management Specialist to join Infrastructure Asset Management of our rapidly growing Foundation Resource Management team in the Phoenix Data Center region. You will be responsible for tracking and inventorying the physical data center assets throughout the assets’ lifecycle to ensure compliance to SOX and audits for Roblox. We are looking for a team member who has experience working with Data Center Operations, Accounting, Procurement, Software Engineering and 3rd party Vendor teams and understands the importance of tracking physical assets, its related details and the impact asset movements have on the organization. You Will: Ensure the data center physical fixed asset inventory is tracked from Receipt (via delivery notifications) through End of Life within Roblox’s physical Asset Management Database. The asset lifecycle tracking procedures include: Goods Receipt Physical moves (both inter & intra) RMAs Disposals Process financial goods receipt in Roblox’s financial database to complete proper 3-way matches Oversee physical asset tagging standards, maintaining asset tag thresholds and distribution of asset tags Establish, organize and main

Overview: Guidepoint seeks an experienced Data/AI Engineer as an integral member of the Toronto-based AI team. The Toronto Technology Hub serves as the base of our Data/AI/ML team, dedicated to building a modern data infrastructure for advanced analytics and the development of responsible AI. This strategic investment is integral to Guidepoint’s vision for the future, aiming to develop cutting-edge Generative AI and analytical capabilities that will underpin Guidepoint’s Next-Gen research enablement platform and data products. This role demands exceptional leadership and technical prowess to drive the development of next-generation research enablement platforms and AI-driven data products. You will develop and scale Generative AI-powered systems, including large language model (LLM) applications and research agents, while ensuring the integration of responsible AI and best-in-class MLOps. The Senior AI/ML Engineer will be a primary contributor to building scalable AI/ML capabilities using Databricks and other state-of-the-art tools across all of Guidepoint’s products. Guidepoint’s Technology team thrives on problem-solving and creating happier users. As Guidepoint works to achieve its mission of making individuals, businesses, and the world smarter through personalized knowledge-sharing solutions, the engineering team is taking on challenges to improve our internal application architecture and create new AI-enabled products to optimize the seamless delivery of our services. This is a hybrid position based in Toronto. What You'll Do: Architect and Build Production Systems: Design, build, and operate scalable, low-latency backend services and APIs that serve Generative AI features, from retrieval-augmented generation (RAG) pipelines to complex agentic systems. Own the AI Application Lifecycle: Own the end-to-end lifecycle of AI-powered applications, including system design, development, deployment (CI/CD), monitoring, and optimization

Join Delphi - Where Innovation meets transformation At Delphi, we believe in creating an environment where our people thrive. Our hybrid work model empowers you to choose where you work—whether it's from the office, your home, or a mix of both—so you can prioritize what matters most. We are committed to supporting your personal goals, family, and overall well-being while driving transformative results for our clients. We welcome exceptional talent from anywhere across the globe. Interviews and onboarding are conducted virtually, reflecting our digital-first mindset. Rooted in the region, we specialize in delivering tailored, impactful solutions in Data, Advanced Analytics and AI, Infrastructure, Cloud Security, and Application Modernization. Whether it’s enabling predictive analytics , transforming operations with automation, or driving customer engagement with intelligent platforms, we are the trusted partner for organizations ready to embrace a smarter, more efficient future. Delphi is seeking a skilled Senior Data Engineer to design and optimize robust data pipelines and solutions using Azure, Databricks, and Microsoft Fabric. In this role, you will collaborate with cross-functional teams to deliver high-performance, scalable, and secure data solutions that drive strategic decision-making. This is a hands-on engineering role with opportunities to contribute to solution architecture, mentor junior team members, and work on impactful data initiatives in a fast-paced, innovative environment. What You’ll Do: • Build Scalable Data Solutions: Design, develop, and deploy efficient data pipelines using Azure, Databricks, and Fabric. • ETL/ELT Development: Build and manage data transformation processes to support reporting, analytics, and machine learning. • Data Integration: Architect seamless data flow across systems, ensuring integrity, availability, and accessibility.&n

Data Scientist The Data Science team helps us fulfill our mission by informing strategy, defining success metrics, and identifying new ways to deliver user value . Data scientists are at the crux of deepening our understanding of the customers and driving more business outcomes by leveraging experimentation, causal inference, statistical and machine learning techniques, and data storytelling . We understand our company’s goals and proactively inform their direction with data so that our product can help more teams do great things. As a Data Scientist at Asana, you’ll help us ask the right questions and answer them rigorously. You’ll work closely with our Pro duct and Business teams to understand their goals and proactively inform their direction with data. You’ll keep taking on new responsibilities as you grow—from defining core metrics to building machine learning models and keeping the data flowin g in our pipelines This role is based in our Warsaw office with an office-centric hybrid schedule . The standard in-office days are Monday, Tuesday, and Thursday . Most Asanas have the option to work from home on Wednesdays . Working from home on Fridays depends on the type of work you do, and your recruiter can share more about the in-office requirements . We offer a Contract of Employment (UoP) for our employees in Poland . What you’ll achieve Design and analyze experiments to measure the impact of new product features. Investigate high-level questions like “What are the collaborative patterns of the most successful teams using Asana?” Add new metrics and aggregations to our data warehouse to make new classes of questions answerable. Build models to predict the growth trajectory of different customer segments. Partner with cross-functional stakeholders across engineering, product management, and business teams to drive data-informed decision-making. About you Bachelor's Degree in Computer Science, Math, Statistics, Engineering, a related quantitative field, or equivale

About the job Do you think like a management consultant, thrive in a startup environment, and can’t stop thinking about the intersection of data, technology, and marketing? With over 2000 employees, offices on five continents, and world-class clients like Samsung, L’Oreal, and Mattel, Artefact is a consulting firm that transforms data into value and business impact. We’ve recently launched in the US with offices located in NYC and Los Angeles, and we want you to join us as an integral part of our founding team! Who We Are Founded and headquartered in Paris, Artefact is a next-generation consulting firm, specializing in data, analytics & AI consulting, dedicated to transforming data into business impact across the entire value chain of organizations. We are proud to say that we help our clients grow their data and digital capabilities, and that we’re also growing in parallel. We have 2000 employees across 36 offices who are focused on accelerating digital transformation. Our state-of-the-art data technologies, lean AI agile methodologies, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts are all dedicated to bringing extra value to every client. We design data-based solutions 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. Find out more at artefact.com . What you will be doing You will lead a team of AI & machine learning engineers and managers, driving the design and delivery of production-grade AI solutions — from classical machine learning models to LLM-powered applications — and the pipelines that power them. You’ll bring senior technical judgment to architecture and model decisions, partner closely with clients and business stakeholders — including hands-on pre-sales work shaping pr

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. Intermediate Fullstack Engineer - Data Products An overview of this role Data Products integrates GitLab and third-party software development lifecycle data, and builds the dashboards, APIs, and data products that turn it into reliable, interoperable intelligence for customers and internal teams. You'll work across the stack, contributing to frontend experiences, backend services, APIs, and AI-enabled workflows. This is a hands-on product engineering role. You'll develop features, learn how we build and operate large-scale data systems, and work closely with Senior and Staff Engineers to deliver secure, reliable, and performant s

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. Staff Fullstack Engineer - Data Products An overview of this role As a Staff Fullstack Engineer - Data Products , you will help build GitLab's in-product insights on top of the Data Insights Platform and the GitLab Knowledge Graph. You will be the technical anchor across reporting dashboards, inbound graph ingestion, and outbound data delivery, helping turn software delivery data into reliable and actionable intelligence for customers and internal teams. This is a strong fit if you want to work in a 0 to 1 space where you can shape what gets built, make early architectural choices, and guide work from specification through produc

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. We are seeking an experienced Data Science Manager to lead a team of data scientists and analysts focused on developing data-driven solutions that optimize cost, drive efficiency, and unlock value across procurement and manufacturing value engineering. In this role, you will own the delivery, and people leadership for a portfolio of cost-related analytics and AI initiatives, translating complex business challenges into measurable cost impact. You will also champion the adoption of cutting-edge AI, including Generative AI and agentic systems to accelerate how the team delivers cost solutions. Key Responsibilities Team Leadership & People Management Lead, mentor, and grow a team of data scientists. Set clear goals, conduct performance reviews, and support career development. Foster a collaborative, high-accountability culture of experimentation and continuous learning. Manage hiring, onboarding, and resource allocation across projects. Solution Development & Delivery Oversee end-to-end development of models and tools for cost forecasting, cost-leakage/anomaly detection, and scenario/what-if analysis. Drive analytics for manufacturing value engineering—identifying cost-down opportunities across design, materials, processes, and supplier options. Ensure solutions are production-ready, scalable, and integrated into business workflows and decision-making. Establish best practices for model development, va

Senior Data Engineer, Public Sector As a Data Engineer for the Public Sector business unit, you will build Scale's analytical and business-intelligence infrastructure. Scale's customers process millions of tasks through our APIs, and we're looking for a talented Data Engineer to build scalable solutions to support this growth. You will have widespread purview, with responsibility for understanding, mining, aggregating, and exposing data across the entire business unit to support timely and efficient decision-making and data exploration. You will also implement Scale's data warehouse, data mart, and business intelligence reporting environments, and help users transition their workflows to these systems. This role requires collaboration with leadership and cross-functional teams to solve complex problems and develop sustainable, scalable data solutions. Your responsibilities will include both ad-hoc analyses and the creation of core data models and pipelines, directly impacting how Scale operates and evaluates its performance. You will: Work with operations, finance, and engineering to drive the development of pipelines that provide single-source-of-truth foundational accuracy Continually improve ongoing data pipelines and simplify self-service support for business stakeholders Perform regular system audits, and create data quality tests to ensure complete and accurate reporting of data/metrics Develop repeatable, scalable analytical solutions, such as data models, improved pipelines, or better underlying tables Have an active Secret security clearance (Top Secret preferred) Ideally You’d Have: 5+ years of relevant work experience in a role requiring application of data modeling and analytic skills Ability to create extensible and scalable data schema and pipelines that lay the foundation for downstream analysis Mastery of SQL and relational databases; experience with programming languages (e.g., Python/R) Experience building a reliable transformation layer and

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 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, Singapore and São Paulo. The Role As part of the broader Data organization, the Data Onboarding team ensures clients have a seamless experience connecting their accounts from various financial institutions to Addepar. This role’s primary responsibilities is to assist clients with authorisation requirements for available data feeds, permission account data to authorized Addepar instances, and addressing all feed onboarding related inquiries and requests within SLAs. Client Data Onboarding Specialists sit at the nexus of Addepar's activity and require daily engagement with customers, data providers, and personnel across the organization. Applicants must have legal authorization to work in the country where this role is based on the first day of employment. Visa sponsorship is not available for this position. What You’ll Do Manage the data feed onboarding process for new Addepar clients, which includes but is not limited to: Communicate and explain the data onboarding workflow to clients over calls and emails Provide guidance and training to clients on account eligibility and authorisation requirements (e.g LOA forms) for existing and new portfolio data feeds Provision received accounts to the appropriate Addepar environments Work closely with data providers to tri

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 member of the facility operations team, you will design, build, and activate some of the world’s most technically advanced facilities and data centers. You will be the subject-matter expert on the maintenance and reliability of critical infrastructure assets. You will have the opportunity to utilize your knowledge, experience, and creativity to develop novel solutions at the cutting edge of space technology. You will work with other facility engineers and internal customers to support these goals and have the opportunity to drive real global impact, ultimately leading to making life multiplanetary. RESPONSIBILITIES: Responsible for owning and being the subject matter expert on fluid/HVAC components across the site. Responsible for owning maintenance and reliability of critical infrastructure assets across campus. Commission systems, validate nameplate performance, and implement predictive maintenance protocols to minimize downtime. Equipment selection, sizing, and procurement support. Drive root-cause investigations for any equipment failures and implement corrective actions across the site. BASIC QUALIFICATIONS: Bachelor’s degree in

The Data Analyst, Revenue Operations is responsible for turning data from multiple source systems into the reporting, models, and visualizations that power revenue, sales, and operations decision-making. Reporting into the Revenue Operations organization, this role combines hands-on SQL and data modeling with predictive segmentation, opportunity analysis, and dashboard development — and serves as a trusted reporting partner to teams across the business. You will work primarily within Revenue Operations while collaborating cross-functionally with Sales, Business and Technical Operations, Sales Enablement, Support, and Finance to get things done. About NMI NMI, a global leader in payment technologies, allows software and sales professionals to deliver payment innovations to their clients without having to build payment expertise in house. NMI enables our partners with choice, and challenges the one-size-fits-all approach to payments. You've probably used NMI in the last 24 hours without even realizing it. We're the platform that powers success for innovative tech created by SMBs, entrepreneurs and fintech startups. We're creative problem solvers who help visionaries smash through boundaries and think beyond what's possible so they can think about what's next. But we're not just built for the tech savvy. We democratize the latest payments technology so that everyone can realize the benefits of easy payments across the full spectrum of commerce. Our mission is to use our expertise to enable more payments, in more ways and more places. We provide ISOs, Fintech Innovators and Technologists the freedom to focus on what they do best, liberating them from restricted payment solutions and giving them access to the latest payment technology now and in the future. How We Work - Our Core Values * Be a Good Person, It's Simple. We treat everyone fairly and with respect. We lead with kindness, humility and integrity. We take the time to understand each other and our customers. And