Measurement Lead Jobs

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 GROWTH MEASUREMENT? In this role, you will leverage your expertise in data science, statistics, and causal inference to develop measurement framework and product to deepen our quantitative understanding of growth efforts, which includes but not limited to performance marketing efficacy, attribution modeling and incrementality measurement. You will collaborate with cross-functional teams to develop and implement data-driven products and strategies that maximize the impact of our growth initiatives. You will also report t

The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for. Job Description: The New York Times' Advertising team is looking for an Analyst, Measurements and Insights who is experienced in analysis of campaign performance data and campaign stories for clients advertising. You will support the Measurement team within The New York Times Advertising. You will turn campaign results into applicable findings for clients by using first- and third-party campaign metrics. You will help identify opportunities, bring the strategy and ongoing output of insights, innovate processes, methodologies, and reporting, directly affecting future business. This is a hybrid role based in our New York headquarters, reporting to the Manager, Insights and Analytics. You can typically expect to be in the office 3 days per week. About the Role: You will evolve how we measure media and creative across a portfolio of diverse clients. This collaborative and strategic role will work with top tier advertising clients. You will also work with multiple teams, including Sales, Sales Planning, Ad Product, Audience Insights, Product Marketing, and Strategy teams. This collaboration ensures success with strengthening partnerships with marketers and increasing ad revenue. Responsibilities: Build holistic narratives from large, integrated data sets using data visualization and analytics platforms Work with 3rd party vendors in the setup and delivery of campaign effectiveness reports, such as Brand Lift Studies, Attribution and Sales Lift. D

The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for. Job Description The New York Times advertising department is looking for a Manager of Measurement Analytics. As a strategic and data-driven individual, you will transform our vast data resources into compelling narratives. These narratives will explain the unique value of our platform and products, focused on campaign performance. You will be a central hub of knowledge, applying deep analysis of our audience and ad products to empower our Sales, Strategy and Product teams. This is a hybrid role based in our New York headquarters, reporting to the Senior Director, Measurements, Audience and Insights. You can typically expect to be in the office 3 days per week. About the Role, Mission or Department Overview You will evolve how we measure and increase media and creative across a portfolio of diverse clients. This collaborative and strategic role will work with top tier advertising clients. You will also work with Sales, Sales Planning, Ad Product, Audience Insights, and Strategy teams. The goal is to achieve results to promote relationships with marketers and increase ad revenue. Furthermore, You will work with our Product, Engineering, Data Science, and Product Marketing teams to create and validate measurement solutions supporting new lower funnel advertising solutions. Responsibilities: Develop expertise in the full suite of NYT research capabilities and measurement products that deliver important performance metrics across the full marketi

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . The Pinterest Measurement team partners closely with advertisers to help grow their businesses through rigorous measurement and iterative learning. We sit at the intersection of Business and Product, helping to drive performance for advertisers and providing in-market feedback to our Product org to influence our ads and measurement solutions strategies. This position is a unique opportunity to work with senior-level executives on a strategic level and help to shape the future of how brands advertise on Pinterest. What you’ll do: Demonstrate the effectiveness of Pinterest advertising for some of our largest clients within NA Enterprise across the Non-Retail verticals (e.g. Health/Pharma, Entertainment, Fin Serv, Tech, etc.) Serve as the day-to-day contact for key strategic advertiser relationships as they pertain to Non-Retail measurement Indepen

About the Team The Monetization team is a cross-functional group working across engineering, product, research, and design to build the foundational systems that will help OpenAI scale access to intelligence responsibly. Our mission is to develop user-first, privacy-preserving monetization products, including next-generation ads experiences that strengthen user trust, unlock economic opportunity, and support OpenAI’s long-term innovation. Monetization plays a critical role in enabling OpenAI to continue pushing the boundaries of AI capabilities while ensuring the benefits of AGI are broadly shared. We believe monetization must be aligned with user value, uphold rigorous privacy and safety standards, and sustain a healthy ecosystem of developers and businesses. This team operates in a greenfield environment and moves quickly through prototyping, experimentation, and iterative deployment. We partner closely with Product, Design, and Research to bring research breakthroughs into real-world systems at global scale. About the Role We’re looking for an experienced Software Engineer to build measurement systems that connect ad interactions to meaningful advertiser outcomes while protecting user privacy. In this foundational role, you’ll design infrastructure for conversion signals, attribution, reporting, and feedback loops across OpenAI’s ads products. This role is ideal for engineers who have built large-scale ads measurement, data, experimentation, marketplace, or distributed systems and want to apply that experience in a highly ambiguous 0→1 environment. You’ll work across event collection and normalization, deduplication and matching, attribution and modeled measurement, privacy-safe aggregation, reporting, and high-quality labels for ads optimization. We are hiring engineers who can independently own complex systems, make sound technical tradeoffs, and help define what should be built. You’ll work closely with Ads Delivery, Ads ML, Product, Research, Privacy, Data Sc

About the Team DoorDash’s mission is to grow and empower local economies. By building intelligent last-mile delivery technology for local cities, DoorDash connects people with the local businesses they care about — helping grow those businesses and the communities that support them. The Marketing Technology team is responsible for building and delivering best-in-class tools, data, and processes so teams at DoorDash can effectively acquire new customers, drive retention, and grow new business lines across all our audiences. Our mission is to enable teams to deliver personalized, engaging, and relevant content across all our owned and paid channels. We partner closely with Product, Engineering, Data Science, and Analytics teams to translate Marketing’s technology needs into measurable business outcomes for our Growth and Performance Marketing teams. About the Role We're hiring a Senior Associate, Marketing Technology & Measurement, to be the hands-on builder of the measurement systems that enable our marketing org to move faster and prove impact at scale. With 4+ years of experience, you'll own the measurement foundations – tracking link architecture, postback configurations, and pixel governance across our MMP stack (Singular, Appsflyer), plus paid-media platform integrations (Meta, TikTok, Reddit, Snap, TTD, affiliate, and more). But maintaining that infrastructure is the baseline, not the goal. You'll spend much of your time helping build and improve the tooling and automations, including AI-assisted measurement workflows, that make channel and creative teams faster, streamlining how they launch, optimize, and prove impact. You'll partner with senior team members to turn repetitive measurement work into repeatable systems, so the team spends less time on manual setup and more on insight. This is a technical marketer role requiring deep mobile measurement expertise, strong SQL skills, hands-on integration experience, and comfort building AI-enabled workflo

"END to END Responsible for: • Manage quantity surveying. • Deliver billing governance for civil. • Deliver finishes, ensuring accurate measurement, certification readiness. • Deliver prepare and validate BOQs, quantity take-offs, and measurement sheets based on drawings and specifications. • Support billing certification processes by validating quantities, rates, and progress evidence with partners and. • Deliver maintain cost control registers for variations, change orders, and budget tracking for civil and." Source: Adani Group | Job ID: 52608

About the Team The Analytics team is looking for Data Analysts and Data Scientists to guide measurement, strategy, and tactical decision-making using Advanced Analytics approaches, as we expand our logistics platform across the globe. Data Scientists at DoorDash work to uncover insights and turn them into actionable recommendations, helping drive decisions for the entire organisation. Analytics is very integral to all operational areas at DoorDash. About the Role Data Science at DoorDash involves diving deeper into our data to solve crucial business problems, ideate & run experiments to solve for insights gleaned from this deep dive and work with a cross-functional team to drive real-world operational change. It is NOT just about building Machine Learning models and putting them into production. This is a rare operational and actionable data-driven experience. We solve many exciting challenges from all three sides of our marketplace including customer acquisition, balancing supply and demand, fraud and support, marketing, marketplace efficiency, and more. If you enjoy finding patterns amidst chaos, are excited to build a market from 0 to 1, and have experience using analytics to affect revenue, growth, operations or beyond, we're looking for someone like you! You're excited about this opportunity because you will… Be a first-class thought partner to our product, business, finance and executive teams and help them make decisions on what’s next for DoorDash 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 Produce recommendations and use statistical techniques and hypothesis testing and other experimentation techniques to validate your findings Provide insights to enable our cross-functional team to understand marketplace dynamics, user behaviours, and long-term t

Job Title Internship: Robot-Assisted Toothbrush IMU Validation Job Description Start Date: January/February 2027 Duration: minimum 6 months Type: Internship Weekly Presence: 40h (minimum 32h) Location: Eindhoven Internship: Robot-Assisted Toothbrush IMU Validation Different toothbrushes use inertial measurement units (IMUs) to characterise brushing motion. To compare their measurements fairly, each brush should undergo the same physical motion. In this assignment, you will develop a repeatable test bench combining a 6-DOF robot arm (SeeedStudio reBot Arm B601-RS), OptiTrack motion capture system and toothbrush IMU sensors. Human brushing trajectories, recorded at 120 Hz as position and orientation data, will be transformed into safe robot trajectories and replayed. OptiTrack will independently measure the reproduced motion, enabling quantitative comparison of robot accuracy, repeatability and IMU responses across toothbrushes. Your challenge: Build and validate a measurement protocol that separates true motion differences from sensor effects such as axis conventions, offset, scale, noise, filtering and timing. Your team: You will work in the R&D department of Philips Oral Healthcare in Eindhoven, alongside experts in sensors, data science, robotics and oral healthcare. The project combines hands-on experimentation, software development and quantitative signal analysis. Your role: Commission the Jetson/ROS 2 robot and OptiTrack workflow and implement safe trajectory replay. Define the brush-head TCP and calibrate robot, OptiTrack, marker and IMU coordinate frames

Work Flexibility: Hybrid or Onsite Join our engineering team in Advanced Operations and help ensure the accuracy, reliability, and effectiveness of measurement and inspection processes that support product quality and manufacturing excellence. In this role, you will apply your metrology expertise to support engineering, quality, operations, and supplier quality teams while contributing to continuous improvement initiatives and the adoption of advanced inspection technologies. What You Will Do Support metrology and engineering research activities, including the evaluation and implementation of new measurement and inspection technologies. Conduct and analyze measurement system studies, inspection data, and gauge repeatability and reproducibility assessments to help optimize manufacturing processes. Develop and improve metrology tools, methods, and processes that increase measurement capability and reduce inspection-related variation. Provide technical guidance to engineering, quality, operations, and supplier quality teams on measurement methods, inspection strategies, and measurement-related issues. Create, validate, maintain, and troubleshoot coordinate measuring machine (CMM) inspection programs and related inspection software. Support investigations related to complaints, nonconformances, and corrective actions through inspection, measurement analysis, and technical expertise. Review CAD models and engineering drawings, applying geometric dimensioning and tolerancing (GD&T) principles to support product development and manufacturing. Maintain metrology procedures, including measurement system analysis documentation, and support inspection and calibration activities for measurement equipment and custom gauges. What You Will Need Required Qualifications Bachelo

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . We’re looking for a Technical Solutions Manager to help advertisers and partners succeed with Reddit Ads in the United States. This individual contributor role brings strong hands-on troubleshooting skills and expertise in mobile app advertising, including app install campaigns and mobile measurement partners (MMPs). You’ll work with advertisers, agencies, partners, Sales, Product, Engineering, and other go-to-market teams to resolve technical issues, explain measurement outcomes, and turn customer feedback into useful product and process improvements. This role is expected to work from the office 1–2 days per week. Responsibilities: Troubleshoot app install campaigns, including app and event setup, SDK and MMP integrations, attribution configuration, postbacks, SKAdNetwork (SKAN) workflows, and discrepancies between Reddit Ads and MMP reporting Investigate and resolve advertiser and partner issues across campaign setup, targeting, delivery, pacing, reporting, measurement, account access, funding, APIs, integrations, and third-party reporting Own technical issues from intake through resolution: assess customer and business impact, identify likely causes, coordinate with the right teams, and keep stakeholders informed Support feature testing and share clear findings and actionable feedback with Product and Engineering Advise advertisers and internal partners on implementation, measurement, and platform usage, translating business goals into practical technical recommendations Document repeatable troubleshooting steps and

WHO WE ARE Edmentum is a dynamic educator and student-focused company dedicated to tech-enabled learning solutions. Our goal is to ensure that all students have access to flexible learning environments and educators have the tools they need to support their students. We are on a mission to create innovative, proven learning technology, partnering with educators to ignite student potential. We are a Remote First organization with a strong commitment to excellence, innovation, and customer satisfaction. What You’ll Do As a Research Scientist, you’ll contribute to the design and execution of applied AI research studies that provide evidence of reliability, validity, and fairness for Edmentum’s educational products – particularly those that include AI features. You’ll collaborate with internal teams and external researchers, apply advanced psychometric methods, and help communicate research findings to diverse audiences. In this role you will: Conduct and manage rigorous research using applied AI and psychometric methods that support product development and evaluation. Translate complex research methods and results into clear, accessible formats. Collaborate with internal teams and external researchers to support research execution. Prepare research briefs, technical documents, and presentations. Contribute to conference presentations, journal publications, and white papers. Assist in preparing materials for the Technical Advisory Committee (TAC) and other expert panels. Who You Are: You have a PhD in psychometrics, quantitative psychology, educational measurement, statistics, data science, AI evaluation, or related field. You bring 1+ years of experience conducting applied AI research, ideally related to educational assessment. You are proficient in R, SAS, or Python for large-scale data analysis. You are familiar with IRT, scaling/equating, and methods for quantifying reliability, including generalizability theory. You communicate technical content clearly to n

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! Figma’s Data Science team partners across product, engineering, design, marketing, sales, and operations to help Figma make better decisions with data. As a PhD Data Science Intern, you’ll bring rigorous research training to some of Figma’s most important and open-ended questions, from researching emerging product and user behaviors and Figma’s broader ecosystem to developing new measurement methodologies, applying causal inference or machine learning, and building analytical systems. You’ll own a data science project end-to-end: from framing the question and methodology to translating findings into insights that influence Figma’s products, strategy, or data science practices; with the potential to continue toward publication after the internship. This internship will be based out of our San Francisco or New York hub. What you’ll do at Figma: Partner with cross-functional teams to turn ambiguous product, platform, or business questions into well-defined data science problems Analyze user, product, or business data to uncover insights and recommend actions Design and evaluate experiments, metrics, statistical or machine learning models, and analytical frameworks Communicate assumptions, tradeoffs, limitations, and recommendations clearly to technical and non-technical partners Own a focused internship project end-to-end, from problem framing and technical execution through final recommendations, with potential to continue toward publication after the internship We’d love to hear from you if you h

What You'll Do Physical scientist/engineer to take responsibility for testing and validation of novel hardware systems What We're Looking For Hands-on laboratory experience and the ability to work independently Familiarity with test and measurement equipment including: oscilloscopes, lock-in amplifiers, spectrum analyzers, PID controllers, etc. Proven diagnostic and troubleshooting skills, coupled with the drive to understand experimental results fully before proceeding Diligent record-keeping habits and facility with Python/Matlab/equivalent for data analysis and visualization Ability to work on-site (up to five days/week) in the San Francisco Bay Area Given the nature of the work, U.S. citizenship is required. Useful Experience Background in experimental physics, particularly in quantum or optical measurements Hands-on EE design and manufacturing experience: analog and digital electronics, board layout, soldering, etc. Excellent data presentation skills A desire to learn new skills outside your current area of expertise Proficiency using the latest AI tools to accelerate workflow

About the Team OpenAI’s Financial Engineering and Identity data science team owns how revenue flows through our products and builds the systems that enable people and organizations to access OpenAI products safely, seamlessly, and at global scale. Identity sits at the critical intersection of growth, trust, and user experience. The team owns the experiences and infrastructure behind sign up, sign in, account recovery, authentication, and identity integrations across both consumer and enterprise products. As OpenAI expands across products and markets, Identity plays an increasingly important role in helping more users get started quickly while protecting them from abuse, fraud, and account compromise. About the Role We're looking for the first dedicated Data Scientist to partner with the Identity organization. In this role, you will define how we measure success across the entire identity journey—from first-time sign up and onboarding through authentication, account recovery, and enterprise identity experiences. You'll develop the experimentation frameworks, metrics, and analytical approaches that guide product decisions while helping the team navigate one of Identity's core challenges: optimizing growth while maintaining trust and security. You'll work closely with Product, Engineering, Design, Abuse, Risk, and Go-to-Market teams to identify opportunities, quantify trade-offs, and influence strategy. Some questions can be answered through A/B tests. Others require observational analyses, causal inference, and judgment under uncertainty. This is an opportunity to shape the analytical foundations of a high-impact product area from the ground up. This role is based in San Francisco, CA. We use a hybrid model (3 days/week in office) and offer relocation support. In this role, you will Define the north-star metrics and measurement frameworks used to evaluate the identity experience across consumer and enterprise products. Design and analyze experiments to optimize top-of