Forrester Research INC jobs

Research Scientist - (applied research) Noida posted: Posted 30+ Days Ago

AI Research Scientist Bangalore, India (ZIN122) posted: Posted 30+ Days Ago

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Senior Research Scientist San Francisco posted: Posted 30+ Days Ago

Research Scientist San Jose posted: Posted 30+ Days Ago

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Research Engineer Seattle posted: Posted 30+ Days Ago

Research Scientist/Engineer - Photoshop Seattle posted: Posted 30+ Days Ago

Director of Research & Strategy, Adobe Express 9 Locations posted: Posted 30+ Days Ago

Senior Market Research Specialist Tokyo posted: Posted 30+ Days Ago

2026 Intern - Research Scientist/Engineer 7 Locations posted: Posted 30+ Days Ago

Research Scientist, WWGS Real Estate & Store Development Seattle, Washington, USA Do you want to help shape the future of Amazon's physical retail presence? Worldwide Grocery Stores (WWGS), Location Strategy and Analytics team is looking for an Research Scientist to join us in developing advanced forecasting models, optimization models, and analytical tools to support critical real estate and store planning decisions for Amazon's Worldwide Grocery business, including Whole Foods Market. Our team is responsible for developing predictive models and tools to support Real Estate and Topology analysts in making important decisions regarding our stores-including new store openings, relocations, closures, remodels, design, new formats, and more. We leverage statistical modeling, machine learning, and GenAI to build solutions for store sales forecasting, sales transfer effects, macrospace optimization, store network optimization, store network diffusion planning, and causal effects. As a Research Scientist on our team, you will apply your technical and analytical skills to tackle complex business problems and develop innovative solutions to improve our forecasting and decision-making capabilities. You will collaborate with a diverse team of scientists, economists, and business partners to identify opportunities, develop hypotheses, build internal products, and translate analytical insights into actionable recommendations for Executive Leadership. Key job responsibilities - Design and implement forecasting models and machine learning solutions to predict store performance and optimize our retail network. - Analyze large datasets to uncover insights and patterns related to store performance, customer behavior, and market dynamics. - Develop end-to-end solutions, tools and frameworks to scale our ML model development

Senior Research Scientist, Sustainability, WW Sustainability Seattle, Washington, USA Join us at the forefront of Amazon's sustainability initiatives to work on environmental and social advancements that support Amazon's long-term worldwide sustainability strategy. At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. We are looking for a Senior Research Scientist to join our growing Sustainability team to drive the science behind value chain decarbonization. This role will establish Amazon's scientific methodologies for sector- and cross-sectoral decarbonization mechanisms, and establish benchmarks for automated validation and risk assessment. As a Senior Research Scientist, you will be responsible for independently leading assessments of environmental issues across the full spectrum of Amazon businesses and evaluating sustainability impacts across the value chain. You will independently develop quality frameworks and methodologies that enable Amazon to scale procurement of high-quality environmental interventions while maintaining scientific rigor and environmental integrity. Key job responsibilities - Develop quality assessment frameworks for complex environmental interventions, baseline-setting approaches, and measurement methodologies - Build quantitative benchmark and statistical models that enable scalable evaluation across heterogeneous data sources - Create attribution methodologies for supply chain interventions across Amazon's diverse footprint - Develop social and environmental safeguard criteria that integrate community impact assessments - Collaborate with cross-functional teams including procurement, sustainability operations, and business units to translate scientific methodologies into operational requirements - Work under the direction of senior business leaders while acting as lead Subject Matter Expert for value chain decarbonization

Senior Applied Researcher 3 Locations posted: Posted 11 Days Ago

Senior Applied Researcher San Jose posted: Posted 30+ Days Ago

Principal AI Researcher 3 Locations posted: Posted 27 Days Ago

Senior Research Scientist, Experience Analytics Seattle, Washington, USA AWS Experience Analytics (EXA) is seeking a Research Scientist to lead customer perspectives research for the team. EXA exists to turn customer understanding into products and intelligence that teams across AWS can use. We run customer experience deep dives, product futures research, and forward-looking studies that bring decision-makers face-to-face with how customers experience AWS. The research this team produces shapes product strategy, investment decisions, and how AWS leadership thinks about the customer. What we need is someone who thinks like a scientist about customers. You have the statistical depth to work with complex behavioral data - building models, testing hypotheses, finding structure in messy signals - and the instinct to go beyond the data when the data is not enough. You are not satisfied with a model that predicts behavior without understanding why. The landscape is shifting. AWS customers are moving from traditional console-based building toward AI-augmented, agent-primary, and autonomous workflows. Understanding who these customers are, how they think, and what they need requires new research approaches - not just new data. You will design the studies, develop the frameworks, and produce the evidence that helps AWS see its customers clearly as this transformation unfolds. You will work alongside data scientists, applied scientists, engineers, and research teams who are building the data foundations for customer understanding. Key job responsibilities - Apply rigorous statistical methods to customer experience data - segmentation analysis, behavioral pattern analysis, causal inference, and outcome measurement - grounded in

Senior Research Lead, Customer Insights Georgia - Atlanta Join Salesforce's Customer Insights team, a core function within the marketing organization responsible for delivering objective, actionable insights that inform our marketing strategy, positioning, and messaging. As Senior Research Lead, you will own research projects and workstreams for stakeholders across marketing. You will manage studies from initial scoping through delivery, apply judgment on methodology, contribute to AI-assisted workflows, and help build repeatable processes that raise the quality floor across the team. Your first project in summer 2026: keynote message testing ahead of Dreamforce . This is a senior individual contributor role for someone who operates with meaningful autonomy, handles complex and concurrent work, and consistently delivers at a high bar before findings reach senior marketing leaders. What You'll Do Lead and Execute Primary Research : Own research projects and workstreams for marketing stakeholders. Translate ambiguous business questions into well-designed studies with a clear point of view on what the research will answer and why it matters. Maintain full accountability for quality throughout. Apply the Right Methods : Apply judgment on methodology across complex, high-visibility studies. Know when quantitative, qualitative, or mixed approaches are right, and why. Decisions often need to be made quickly, defended to senior stakeholders, and adapted as briefs evolve. Work is a mix of supplier-led and in-house execution; you need to be comfortable with both. Synthesize Across Studies : Connect findings across projects to surface integrated conclusions. You deliver strong data storytelling, choose the right visualization, and frame the

Sr. Research Scientist, Last Mile Science Bengaluru, Karnataka, IND Have you ever ordered a product on Amazon and when that box with the smile arrived you wondered how it got to you so fast? Have you wondered where it came from and how much it cost Amazon to deliver it to you? If so, the WW Amazon Logistics, Business Analytics team is for you. We manage the delivery of tens of millions of products every week to Amazon's customers, achieving on-time delivery in a cost-effective manner. We are looking for an enthusiastic, customer obsessed, Sr. Applied Scientist with good analytical skills to help manage projects and operations, implement scheduling solutions, improve metrics, and develop scalable processes and tools. The primary role of an Operations Research Scientist within Amazon is to address business challenges through building a compelling case, and using data to influence change across the organization. This individual will be given responsibility on their first day to own those business challenges and the autonomy to think strategically and make data driven decisions. Decisions and tools made in this role will have significant impact to the customer experience, as it will have a major impact on how the final phase of delivery is done at Amazon. Ideal candidates will be a high potential, strategic and analytic graduate with a PhD in (Operations Research, Statistics, Engineering, and Supply Chain) ready for challenging opportunities in the core of our world class operations space. Great candidates have a history of operations research, and

Quantitative Researcher, Selling Partner Experience Seattle, Washington, USA We are seeking a skilled and motivated Quantitative Researcher to join our team. The ideal candidate is customer-obsessed, detail-oriented, and passionate about translating complex data into clear, actionable insights. You are comfortable operating with some ambiguity, can deliver independently on well-scoped research programs, and can shape how research is done, not just execute it. If you've ever wondered how Amazon knows what sellers need before they ask, that's the work our team does. We're looking for a Quantitative Researcher who turns seller behavior data into product decisions that shape the experience for millions of businesses selling on Amazon. You'll own research end-to-end: designing surveys, running statistical analyses, and translating findings into clear recommendations that product and design teams actually act on. You'll work independently on well-scoped projects while starting to shape how the team approaches quantitative research - improving methods, not just executing them. Key job responsibilities - Independently lead quantitative UX research projects end-to-end, including survey design, sampling strategy, statistical analysis, and reporting - Synthesize survey findings with engagement metrics and behavioral data into compelling narratives and actionable recommendations that drive product improvements - Improve research patterns, standards, and methods, contributing to how the team approaches quantitative work, not just executing against existing frameworks - Build scalable mechanisms for communicating insights to stakeholders, leveraging strong writing and data visualization skills - Influence decision-makers across teams by presenting research findings clearly and persuasively - Manage complex stakeholder relationships across multiple product and

Quantitative UX Researcher, Applied AI Solutions Seattle, Washington, USA We are seeking a Quantitative UX Researcher who is excited to help shape the future of AI-native business applications. This is an opportunity to influence product direction by helping teams understand how customers interact with AI-powered experiences and what drives adoption, trust, usability, and customer value. In this role, you will lead quantitative research that helps teams build, test, and learn faster. You will turn product questions into clear hypotheses, success metrics, well-designed studies, and actionable insights. Your work will help teams evaluate new ideas, improve existing experiences, and make better product decisions. This is a quant-first role with mixed-methods responsibilities as needed. We are looking for a researcher with strong skills in experimentation, analytics, behavioral analysis, and causal inference. You should be comfortable working in ambiguous, early-stage spaces and helping teams define how success should be measured for new AI-powered products. You will identify meaningful behavioral and attitudinal signals, measure product performance, and recommend improvements based on the evidence. Key job responsibilities - Lead quantitative and mixed-methods research for AI-powered products, including early-stage concepts and evolving customer experiences. - Own studies from end to end, including framing research questions, defining hypotheses, selecting methods, identifying measures, analyzing results, and communicating recommendations. - Design and run experiments, surveys, and behavioral analyses that help teams understand customer needs, product performance, and opportunities for improvement. - Define and track success metrics related to adoption, trust, usability, comprehension, and customer value in AI-powered experiences. -

Senior Product Quantitative Researcher, Cloud Security Seattle, WA, USA; +1 more At Google, we "Focus on the user and all else will follow." As a Quantitative User Experience Researcher (Quant UXR), you make this possible. You will join a multi-disciplinary team, collaborating closely with Engineering and Product Management to create industry-leading, innovative products. You will drive impact at all stages of development by investigating user behavior through empirical methods like logs analysis, survey research, and regression. We value diverse educational experiences-from Computer Science to Psychology-and require a blend of behavioral research design, statistical proficiency, and programming skills to uncover actionable insights. Beyond the work, you will grow within a supportive Quant UXR community offering mentorship, regular meetups, and exclusive internal tools to help you thrive. The Cloud Security Product Analytics team works within the Strategy and Operations group to equip Google Security business leaders with the data and insights they need to confidently make decisions that improve our business and products. In this role, you will leverage your data engineering, data science, and analytical skills to build trusted data sets and executive-level insights tailored to the Cloud Security portfolio. You will analyze product utilization and feature usage to understand customer satisfaction and retention, specifically focusing on how new tools drive engagement. You will manage the ambiguity and complexity of the current data environment while collaborating with Product Managers and UX teams to activate changes. Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade

Analyst Relations Insights and Activation Manager, Ads Marketing New York, NY, USA As an Analyst Relations Insights and Activation Manager for Google Ads, you will be a critical member of the team responsible for shaping and strengthening Google Ads and Commerce's perception and influence within the industry analyst community (e.g., Gartner, Forrester, Consulting Firms, etc.). In this role, you will be the strategic liaison between our product innovations, product marketing, and the global analyst community. You will shape the narrative for our most critical P0 topics, including Future of Search, YouTube, Commerce and Agentic AI, with analysts and consultants. You will drive the scoping and execution of strategic, co-branded research initiatives to ensure our market outlook is powerfully activated across first/third party events, industry bodies, sales and customers. This role requires a unique blend of product marketing acumen, narrative building, and relationship management. Know the user. Know the magic. Connect the two. At its core, marketing at Google starts with technology and ends with the user, bringing both together in unconventional ways. Our job is to demonstrate how Google's products solve the world's problems--from the everyday to the epic, from the mundane to the monumental. And we approach marketing in a way that only Google can--changing the game, redefining the medium, making the user the priority, and ultimately, letting the technology speak for itself. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $141000 - $206000 (USD) + 15% bonus target + bonus

Senior UX Quantitative Researcher, Human Factors San Jose, CA, USA; +3 more At Google, we "Focus on the user and all else will follow." As a Quantitative User Experience Researcher (Quant UXR), you make this possible. You will join a multi-disciplinary team, collaborating closely with Engineering and Product Management to create industry-leading, innovative products. You will drive impact at all stages of development by investigating user behavior through empirical methods like logs analysis, survey research, and regression. We value diverse educational experiences-from Computer Science to Psychology-and require a blend of behavioral research design, statistical proficiency, and programming skills to uncover actionable insights. Beyond the work, you will grow within a supportive Quant UXR community offering mentorship, regular meetups, and exclusive internal tools to help you thrive. For decades, the computing revolution has reshaped our world driven by breakthroughs in compute, connectivity, mobile, and now, AI. Google's XR team is at the forefront of the next major leap - the convergence of AI and XR. This is more than just new devices - it's about reimagining how we interact with the world around us. We're building a future where lightweight XR devices like smart glasses and headsets pair with helpful AI to augment human intelligence, offering personalized, conversational, and contextually aware experiences.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $159000 - $231000 (USD) + 15% bonus target + bonus + equity + benefits Learn more about benefits at Google . Define and measure