Multimedia Research Scientist and Analyst

🏢 Summary: Lead quantitative and mixed-methods UX research for AI-powered business applications, shaping product decisions through experiments, surveys, behavioral analysis, and success metrics. The role partners with product, design, and engineering teams to evaluate concepts, measure adoption and usability, and deliver evidence-based recommendations. 🗂️ Requirements: 3+ years leading user research projects with demonstrated impact, Bachelor’s degree in HCDE, Human Factors, Cognitive Psychology, or related field, End-to-end research experience: study design, recruiting, moderation, analysis, reporting, Experience with lab-based, remote, and iterative prototype user testing, Survey design experience, Portfolio with research deliverables such as study plans, reports, or personas 📃 Skills: Experimentation, Analytics, Statistics, Surveys, Prototyping, Research, Moderation, Scrum, Agile 🏢 Description: Description 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. Combine findings across research, product usage, and customer feedback to generate clear insights and practical product recommendations. Partner closely with product, design, and engineering to support a build, test, learn approach, where evidence informs decisions throughout the product lifecycle. About The Team AWS Applied AI Solutions is an organization with ambitions to be a leading provider of business applications, leveraging Amazon's unique experience and expertise, used by millions of companies worldwide to manage day-to-day operations. Our mission is to accelerate our customers' businesses by delivering intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. The AWS Applied AI Solutions team is at the forefront of AI innovation, designing and building the next generation of intelligent business applications. We work closely with global Product, Engineering, Science, Marketing, and Business Development teams to deliver compelling AI-powered experiences that transform how businesses operate. Our research team plays a critical role in ensuring these AI solutions are not just technically advanced, but truly meet customer needs and drive meaningful customer outcomes. Basic Qualifications 3+ years of proven success leading User Research projects with demonstrated impact experience Bachelor's degree in HCDE, Human Factors, Cognitive Psychology, or a related field Experience in leading User Research projects with demonstrated impact Experience (end to end) with all aspects of research (study design, recruiting, moderation, analysis, reporting) Experience with lab-based user testing, remote testing, iterative prototype testing, survey design, and usage of multiple methods within a study Have a portfolio demonstrating past work experience and deliverables (e.g., study plans, reports, personas) Preferred Qualifications Master's degree in Human Factors, HCDE, or Cognitive Psychology Knowledge of quantitative data analysis and statistics Experience conducting and applying research in a global context Experience working in a highly Agile/Scrum environment Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. USA, CA, Sunnyvale - 143,100.00 - 193,600.00 USD annually USA, NY, New York - 143,100.00 - 193,600.00 USD annually USA, VA, Arlington - 130,100.00 - 176,000.00 USD annually USA, VA, Herndon - 130,100.00 - 176,000.00 USD annually USA, WA, Seattle - 130,100.00 - 176,000.00 USD annually Company - Amazon Web Services, Inc. Job ID: A10504178

🏢 Summary: Lead the data science strategy and production delivery for an advertising marketplace across onsite and offsite channels. The role manages scientists building ranking, bidding, budget, ROAS, and GenAI systems while partnering with Product and Engineering to improve shopper relevance, advertiser outcomes, and revenue. 🗂️ Requirements: Advanced quantitative degree or 10+ years leading large-scale ML/optimization systems, Leadership of data science or applied science teams, End-to-end production science delivery experience, Large-scale ranking and prediction ML expertise, Advertising supply- and demand-side optimization experience, Production LLM or generative AI implementation experience, Mathematics, statistics, causal measurement, and experimentation expertise, Distributed training and serving pipeline experience, Senior executive and cross-functional communication skills 📃 Skills: MachineLearning, DeepLearning, Embeddings, Retrieval, Ranking, Optimization, Experimentation, MLOps, Auctions, Bidding, Pacing, ROAS, LLMs, GenAI, RAG, Statistics, CausalInference, AWS, SageMaker 🏢 Description: Job Description At Chewy, we believe great work starts with great people. Our mission is to be the most trusted and convenient destination for pet parents and partners everywhere. Advertising is a core growth engine for Chewy—and science is how we make it smarter for shoppers, brands, and the business. Your Opportunity We are hiring a Director, Data Science to own and lead all Ads Data Science for Chewy—fully accountable for the science strategy and production implementation behind Chewy’s onsite and offsite Chewy Ads. You will lead a team of data scientists building the intelligence layer across the full advertising marketplace: (a) Supply-side algorithms — search, relevance, ranking, real-time bidding, bid-boosting, premium positioning, and dynamic auctions. (b) Demand-side algorithms — budgeting, pacing, budget allocation/reallocation, keyword recommendations, bid recommendations, campaign setup and auto-optimization, and advertiser ROAS optimization. (c) Portfolio management — orchestrating Chewy’s onsite and offsite Ads portfolio for optimal, balanced performance across shopper experience, advertiser outcomes, and Chewy revenue. This is a rare seat: you will define how modern AI—LLMs, generative AI, foundation models, and multimodal systems—shows up in a real advertising marketplace, not as demos, but as durable production systems that move customer and advertiser outcomes at scale. As a core member of Ads leadership, you’ll partner closely with Product, Engineering, and business partners, and represent Ads science to Chewy senior leadership. What You’ll Own Full ownership of Chewy Ads Data Science across onsite and offsite channels—strategy, roadmap, model portfolio, delivery, and scientific quality bar. Lead, grow, and mentor a high-performing team of data scientists; set standards for modeling, experimentation, MLOps, and research-to-production excellence. Advance state-of-the-art applied science across the three pillars above: embeddings and representation learning, CTR/CVR prediction, multi-objective ranking, auction and bidding dynamics, budget optimization, ROAS optimization, causal measurement, and marketplace balance. Define and execute Chewy Ads’ AI / GenAI strategy, including LLM-powered workstreams such as: Generative creative and offer assistance Intelligent keyword and query recommendation Bid recommendation and automated bidding guidance Auto-campaign setup and optimization copilots for advertisers Retrieval-augmented systems for relevance, discovery, and ranking quality Partner with Product and Engineering to ship production systems that improve shopper relevance, advertiser ROI/ROAS, and Ads business performance. Establish rigorous experimentation and decision frameworks so science investments map clearly to customer and revenue impact. Represent Ads science to senior leadership—translating complex work into clear strategy, tradeoffs, and recommendations. Raise Chewy’s external scientific presence through publications, talks, and recruiting at leading ML/AI/advertising venues (encouraged, not required). What You’ll Need Advanced degree (M.S., PhD, or equivalent experience) in a quantitative field (e.g., CS, ML, Statistics, OR, Applied Math, Data Science), or 10+ years building and leading large-scale ML/optimization systems. Proven experience leading data scientists / applied scientists and owning end-to-end science delivery in production—ideally in ads, search, recommendations, personalization, or marketplace systems. Deep hands-on fluency with modern ML for ranking and prediction at scale: deep learning, embeddings, retrieval, multi-objective optimization, and online experimentation. Experience with advertising optimization systems spanning supply and demand—auctions, real-time bidding, pacing, budget allocation, keyword/bid recommendations, auto-campaign optimization, and ROAS optimization under real-time, constrained-spend settings. Demonstrated experience productizing LLMs / generative AI in real systems (e.g., RAG, agentic workflows, evaluation harnesses, quality/safety controls)—ideally in ads, search, or ecommerce. Strong foundation in mathematics, statistics, and scientific method; a high bar for model quality, causal measurement, and production reliability. Experience operating distributed training/serving pipelines and partnering with Engineering on scalable deployment. Exceptional communication: able to influence senior executives and cross-functional partners with clarity and technical credibility. Nice to Have Direct experience in digital advertising / retail media / sponsored products. Ecommerce or retail marketplace experience. Experience with cloud ML platforms (e.g., AWS SageMaker or equivalent) and modern GenAI tooling. Track record of hiring and developing senior scientific talent. What You’ll Get Chewy is committed to equal opportunity. We value and embrace diversity and inclusion of all Team Members. If you have a disability under the Americans with Disabilities Act or similar law and you need an accommodation during the application process or to perform these job requirements, please contact CAAR@chewy.com. Chewy offers a comprehensive benefits package including medical, dental, vision, life and disability insurance, 401(k) with company matching, paid time off, employee discounts, and additional wellness and support programs designed to help Team Members thrive personally and professionally. The base salary range for this role is $198,500 - $300,000.00. The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate’s relevant experience, education, and work location. In addition, this position is eligible for 401k and a new hire and annual equity grant. C08+ positions may also be eligible for annual bonus. We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life, disability, hospital indemnity, critical illness, and accident. We offer parental leave, family services benefits, backup dependent care, flexible spending accounts, telemedicine, pet adoption reimbursement, employee assistance program, and many discounts including 10% off pet insurance and 20% off at Chewy.com. Exempt salary team members have unlimited PTO, subject to manager approval. Team members will receive six paid holidays per year. Team members may be eligible for paid sick and family leave in compliance with applicable state and local regulations. Chewy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, gender, citizenship, marital status, religion, age, disability, gender identity, results of genetic testing, veteran status, as well as any other legally-protected characteristic. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact CAAR@chewy.com. To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.

🏢 Summary: Remote Business Systems Analyst II role supporting endpoint, mobile, and virtual desktop services within Digital Workplace Device Engineering. The position analyzes operational data, gathers requirements, builds reporting dashboards, and helps improve device management, user experience, compliance, and service reliability. Occasional travel to hub locations may be required. 🗂️ Requirements: Eligible to work remotely from Arizona, North Carolina, or Texas, Bachelor’s degree and 2 years of systems support, analytics, or operational support experience, OR high school diploma/GED and 6 years of systems support, analytics, or operational support experience 📃 Skills: Intune, ConfigurationManager, JAMF, Windows, macOS, Autopilot, Nexthink, Azure, Citrix, ServiceNow, Jira, Confluence, Absolute, VDI, Agile, Analytics, Reporting, Automation, Documentation 🏢 Description: Overview This is a remote role that may only be hired in the following location(s): Arizona, North Carolina and Texas. The Business Systems Analyst II role is an individual contributor within the Digital Workplace Device Engineering team and part of the Digital Workplace Technology organization, supporting the successful delivery of endpoint, mobile, and virtual desktop technologies and services. The Business Analyst will collaborate with Digital Workplace Technology leadership to understand, support, and execute strategic initiatives that enhance device management, user experience, operational efficiency, and service reliability across the enterprise. The Business Analyst will partner with engineering teams, operations teams, and key stakeholders to align solution delivery with business and technology objectives. The ideal candidate is a self-starter with excellent communication, analytical, and collaboration skills and possesses an understanding of endpoint management, virtual desktop infrastructure (VDI), device lifecycle management, and digital employee experience technologies. Experience with reporting platforms, workflow automation, data analysis, and service management tools is preferred. The position is remote; however, occasional travel to FCB Hub Locations may be required. Responsibilities Data Analysis - Sources, compiles, and interprets data from endpoint management, virtual desktop, and digital employee experience platforms. Analyzes operational trends, service performance, device compliance, and user experience metrics. Effectively communicates findings and recommendations to engineering and leadership teams. Identifying Requirements - Collaborates with Device Engineering teams to gather, analyze, and document business and technical requirements. Identifies opportunities to improve endpoint, mobile, and VDI processes through automation, standardization, and operational efficiencies. Assists in validating solutions through testing, analysis, and stakeholder feedback. Reporting - Develops and maintains reporting and dashboards related to endpoint health, device compliance, software deployment, user experience, and operational performance. Identifies trends, risks, and opportunities for service improvement and process optimization. System Support - Provides operational and analytical support for Digital Workplace platforms and services. Assists with investigation and resolution of complex issues, supports continuous service improvement initiatives, and helps ensure a high-quality end-user experience across endpoint, mobile, and virtual desktop environments. Technology Stack Microsoft Intune Microsoft Endpoint Configuration Manager JAMF Windows 11 & MacOS Windows Autopilot Nexthink Azure Virtual Desktop (AVD) Citrix Virtual Apps and Desktops ServiceNow Jira and Confluence Absolute Control TEAM PLAYER - Acts as a team player supporting peers, Device Engineering leadership, and business stakeholders to fulfill operational service levels, engineering initiatives, and project deliverables. Demonstrates a collaborative mindset and commitment to team success. DOCUMENTATION - Creates and maintains high-quality documentation, operational procedures, process maps, requirements, project artifacts, and reporting dashboards. Contributes to the knowledge base supporting enterprise endpoint, mobile, and VDI services. AGILE WORK METHODS - Participates in Agile planning, backlog refinement, and continuous improvement activities. Collaborates with engineers to define requirements, identify dependencies and risks, and support successful delivery of quarterly objectives. Maintains focus on opportunities to improve user experience, operational efficiency, compliance, and cost optimization. CHANGE MANAGEMENT - Supports and follows established technology change and release management processes while helping ensure successful implementation of endpoint and workplace technology changes. RISK MANAGEMENT - Applies a risk-based approach to technology analysis and process improvement. Evaluates operational impacts, compliance requirements, and user experience considerations associated with endpoint and virtual workplace technologies. SUBJECT MATTER EXPERT - Develops working knowledge across Digital Workplace Device Engineering products and services, including endpoint management, virtual desktops, digital employee experience monitoring, and device lifecycle processes. Remains current on industry trends and emerging technologies. TECHNOLOGY SUPPORT - Serves as a support and coordination resource for Device Engineering initiatives and operational activities. Assists with troubleshooting, analysis, testing, and escalations while coordinating with vendors and support partners as needed. Qualifications Bachelor's Degree and 2 years of experience in Systems Support, or Analytics, or Operational Support OR High School Diploma or GED and 6 years of experience in Systems Support, or Analytics, or Operational Support Preferred Qualifications 2+ years working with infrastructure, endpoint, workplace, or engineering teams within the financial industry 3+ years operating in an Agile delivery environment 1+ years using Jira, Confluence, or Azure DevOps Experience gathering requirements, analyzing operational processes, and producing meaningful reporting and dashboards Familiarity with endpoint management platforms, virtual desktop technologies, or digital employee experience solutions Understanding of IT operations, device lifecycle management, and enterprise support processes Familiarity with FFIEC Architecture, Infrastructure, and Operations guidance and application of regulatory requirements to technology operations Working knowledge of Device / Endpoint Management technologies is preferred Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.