aiml - machine learning engineer, data and ml innovation

applied scientist ii, sponsored products and brands - advertiser guidance

data impact lead, coffee & cocoa sustainability

commercial dock & door service technician

ai research scientist - mllm training Jobs in Seattle

ai research scientist - mllm training

aiml - machine learning engineer, data and ml innovation Jobs in Seattle

applied scientist

applied scientist ii, sponsored products and brands - advertiser guidance Jobs in Seattle

data impact lead, coffee & cocoa sustainability Jobs in Seattle

data scientist product analytics

Data Scientist, Product Analytics

Apple

Join Apple Maps, where our mission is to build the best map in the world. As a Senior Data Scientist in the Maps Evaluation organization, you will be instrumental in harnessing the power of user data to strategically inform and influence critical decisions across the Maps organization. We work in a highly collaborative, fast-paced environment where you&rsquo;ll have significant autonomy to define and lead impactful projects, drive substantial change, and contribute your unique perspective to a team committed to creating something truly wonderful. 
 
Description 
 
We are seeking a highly talented and seasoned Data Scientist to join our cross-functional team, dedicated to proactively identifying opportunities and optimizing user engagement, retention, and growth within Apple Maps. You will partner closely with Product and Program teams, acting as a strategic thought leader to leverage data and inform product direction. This role offers unparalleled scope to architect, define, and build the next generation of metrics and analytical frameworks. We're looking for a creative problem-solver who can innovate within our robust privacy commitments, evolving our current metrics foundation into a comprehensive, cutting-edge insights platform. Your day-to-day responsibilities will span the full data lifecycle, from proactive exploratory data analysis and metrics design to leading deep dives and crafting and presenting executive-level strategic reports.&quot;,&quot;responsibilities&quot;:&quot;Lead the design, creation, and validation of novel metrics for user engagement, retention, and growth. 
 
Drive the development and implementation of sophisticated data products (e.g., user segmentation models, churn propensity scores, growth forecasting tools). 
 
Proactively lead deep-dive analyses to uncover insights into user behavior and inform critical business decisions. 
 
Engage with and influence partners and executive leadership to shape product strategy and roadmap with compelling, data-driven recommendations. 
 
Architect solutions to highly ambiguous product goals and complex business problems, transforming them into well-defined and solvable data science challenges. 
 
Drive the development, adoption, and best practices for advanced tools and automated data pipelines (primarily using Python and SQL-based ETL frameworks) to ensure efficiency and scalability. 
 
Mentor and guide junior data scientists, fostering their technical and analytical growth. 
 
Champion new ideas and analytical approaches, pushing the team towards innovative solutions and methodologies. 
 
Preferred Qualifications 
 
Deep expertise in user engagement analytics, retention strategies, and/or growth modeling. 
 
Extensive experience with large data sets using technologies like Hadoop and Spark. 
 
Demonstrated experience in architecting and implementing automated analytics tasks and data pipelines at scale. 
 
Proven track record of leading complex projects within highly cross-functional teams, driving consensus and delivering results. 
 
Experience mentoring junior team members and contributing to a data science community. 
 
Experience contributing to product strategy and roadmap definition. 
 
Minimum Qualifications 
 
MS/PhD in Computer Science, Statistics, Data Science, Physics, Operations Research, or similar quantitative domain. 
 
5+ years of industry experience with data analysis at web scale or relevant work experience, demonstrating increasing levels of responsibility and impact. 
 
Expert proficiency in Python for data manipulation, analysis, and modeling. 
 
Expert proficiency in at least one database language (e.g., SQL, Snowflake) for complex data extraction and transformation. 
 
Proven ability to translate highly ambiguous business questions and strategic needs into robust technical requirements and analytical solutions. 
 
Deep understanding and practical application of advanced statistical techniques and modeling, including predictive modeling and causal inference. 
 
Exceptional communication and presentation skills, with a track record of influencing product and executive leadership. 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $163,300 and $290,100, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Senior Data Scientist - Maps Eval

Opendoor

<div>
 
 Data Scientist, Pricing
 
 
 
 
 
 Location: In office 4 days a week
 
 ; Seattle WA.
 
 
 
 Opendoor is transforming one of the largest, most complex markets in the world &mdash; residential real estate &mdash; using data at massive scale. Every pricing signal we generate directly impacts how we value homes, how we manage risk, and how efficiently capital moves through our marketplace. The work is highly leveraged: the quality of our pricing decisions influences conversion, margins, customer trust, and the company&rsquo;s financial performance.
 
 
 We are looking for mid to senior level Data Scientists. In this role, you will be a core driver of how Opendoor prices real estate at scale. You&rsquo;ll operate at the intersection of economics, machine learning, experimentation, and product strategy &mdash; tackling ambiguity, shaping the pricing roadmap, and building models/analyses that materially move the business. Your insights will influence how we evaluate millions of dollars of housing inventory &mdash; and directly shape outcomes for our customers, our balance sheet, and the health of our marketplace.
 
 
 
 What You&rsquo;ll Do
 
 
 
 
 <ul>
 <li>
 Build and maintain pricing metrics, dashboards, and frameworks.
 </li>
 <li>
 Run experiments and causal analyses to measure impact and drive decisions.
 </li>
 <li>
 Develop predictive + statistical models that improve pricing accuracy.
 </li>
 <li>
 Partner closely with Product, Engineering, and Operations teams to influence roadmap and model deployment.
 </li>
 <li>
 Deliver insights and narratives that inform executive strategy.
 
 
 
 </li>
 </ul>
 
 Skills &amp; Qualifications
 
 
 
 
 <ul>
 <li>
 Deep statistical reasoning: hypothesis design, experimental design, causal inference, and ability to distinguish signal vs noise.
 </li>
 <li>
 Proven end-to-end ML ownership: data acquisition, feature engineering, model development, validation, deployment, and ongoing monitoring.
 </li>
 <li>
 Strong SQL + Python proficiency; comfortable working with production data pipelines and modern ML tooling (e.g., Spark, Airflow, Ray, SageMaker, Vertex, etc.).
 </li>
 <li>
 Demonstrated ability to translate complex analytical findings into clear business recommendations and influence cross-functional decision-making.
 </li>
 <li>
 Experience working with ill-defined problems and driving clarity on problem definition, success metrics, and realistic tradeoffs.
 </li>
 <li>
 High data-quality bar: disciplined approach to validation, bias analysis, and making decisions rooted in evidence vs intuition.
 </li>
 <li>
 Effective communicator &mdash; able to tell the story behind the model to both highly technical and non-technical audiences.
 
 
 
 </li>
 </ul>
 
 Base salary range for this role varies. Generally, the base salary range is $143,200 &ndash; $213,000 annually + RSUs + bonus + ESPP + additional employee benefits (medical/dental/vision, life insurance, unlimited PTO, 401K).
 
 
 
 #
 
 
 At Opendoor our mission is to tilt the world in favor of homeowners and those who aim to become one. Homeownership matters. It's how people build wealth, stability, and community. It's how families put down roots, how neighborhoods strengthen, how the future gets built. We're building the modern system of homeownership giving people the freedom to buy and sell on their own terms. We&rsquo;ve built an end-to-end online experience that has already helped thousands of people and we&rsquo;re just getting started.
 
 
</div>

Data Scientist

<div>The Apple Services Engineering (ASE) team is one of the most exciting examples of Apple&rsquo;s long-held passion for combining art and technology. These are the people who power the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books. And they do it on a massive scale, meeting Apple&rsquo;s high expectations with high performance to deliver a huge variety of entertainment in over 35 languages to more than 150 countries. 
 
These engineers build secure, end-to-end solutions. They develop the custom software used to process all the creative work, the tools that providers use to deliver that media, all the server-side systems, and the APIs for many Apple services. 
 
Thanks to Apple&rsquo;s unique integration of hardware, software, and services, engineers here partner to get behind a single unified vision. That vision always includes a deep commitment to strengthening Apple&rsquo;s privacy policy, one of Apple&rsquo;s core values. Although services are a bigger part of Apple&rsquo;s business than ever before, these teams remain small, nimble, and cross-functional, offering greater exposure to the array of opportunities here. 
 
We&rsquo;re looking for an engineer to join the team working on defining the future of our privacy-first instrumentation capabilities. You will work at the intersection of product management and engineering with a number of cross-functional stakeholders to answer two main questions: What data should we collect for our products and services and how will we get that data from client devices while preserving privacy? 
 
Description 
 
You&rsquo;ll be tasked with designing, launching, and supporting new data infrastructure products as vital to answer high-level analytics questions at scale. 
 
Your responsibilities will include all aspects of software development management, from brainstorming, design and analysis to development, implementation and maintenance. Additionally, you'll be tasked with defining the strategy for new data infrastructure products as necessary to answer high-level analytics questions at scale. Finally, you will create and maintain instrumentation specifications for all new features, detailing the fields, values and when the data is collected and when for all new features released across ASE products and services. 
 
To accomplish all this, you&rsquo;ll collaborate with a wide range of collaborators including product managers, client and server engineering, data scientists/business analysts, privacy engineers and attorneys, QA, and more. 
 
You will: 
 
<ul><li>Design and implement innovative Privacy-preserving systems to be used across ASE products and services</li></ul> 
<ul><li>Design and develop frameworks and tools to collect analytics data from our products and services on all platforms, including iOS, iPadOS, macOS, tvOS, watchOS, visionOS, web browsers, and third party platforms.</li></ul> 
<ul><li>Own the end-to-end product lifecycle for client instrumentation capabilities, creating detailed specifications that provide clear guidance to engineering, data science, and QA stakeholders</li></ul> 
<ul><li>Manage the end-to-end design, launch, and support of new data infrastructure as needed to address sophisticated analytics needs, including technical system design and implementation</li></ul> 
<ul><li>Advise business and engineering team members by serving as a data collection subject-matter-expert who understands how analytics-related asks will impact numerous server and client engineering systems</li></ul> 
<ul><li>Lead discussions with privacy and legal teams to ensure that both Apple&rsquo;s analytics needs are met and consumer privacy is protected</li></ul> 
The people here at Apple don&rsquo;t just create products they create the kind of wonder that&rsquo;s revolutionized entire industries. It&rsquo;s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. 
 
&quot;,&quot;responsibilities&quot;:&quot;You'll design, launch, and support new data infrastructure products crucial for answering high-level analytics questions at scale. 
 
Your responsibilities will include all aspects of software development, from brainstorming, design and analysis to implementation and maintenance. Additionally, you'll be tasked with defining the strategy for new data infrastructure products as necessary to answer high-level analytics questions at scale. Finally, you will be expected to create and maintain instrumentation specifications documents that specify what fields and values are collected and when new features released across ASE products and services. 
 
To accomplish all this, you&rsquo;ll collaborate with a wide range of partners including product managers, client and server engineering, data scientists/business analysts, privacy engineers, attorneys, QA, and more. 
 
You will: 
 
Design, and implement innovative Privacy-preserving systems to be used across ASE products and services 
 
Design and develop frameworks and tools to collect analytics data from our products and services on all platforms, including iOS, iPadOS, macOS, tvOS, watchOS, visionOS, web browsers, and third party platforms. 
 
Own the end-to-end product lifecycle for client instrumentation capabilities, creating detailed specifications that provide clear guidance to engineering, data science, and QA stakeholders 
 
Manage the end-to-end design, launch, and support of new data infrastructure as needed to address complex analytics needs, including technical system design and implementation 
 
Advise business and engineering stakeholders by serving as a data collection subject-matter-expert who understands how analytics-related asks will impact numerous server and client engineering systems 
 
Lead discussions with privacy and legal teams to ensure that both Apple&rsquo;s analytics needs are met and consumer privacy is protected 
 
Preferred Qualifications 
 
Ability to assist in the creation and enforcement of privacy and compliance policies and guidelines across ASE and Apple 
 
Industry experience in Privacy-Enhancing Technologies for large-scale distributed systems 
 
Experience with differential privacy, private data-synchronization across systems and devices, data minimization, tokenization, cryptography 
 
Minimum Qualifications 
 
5+ years of experience working as a software engineer, technical product manager, or engineering focused management consultant 
 
Strong software design skills, coupled with a deep knowledge of data structures and algorithms 
 
Comfort working with large, cross-functional teams spread across multiple locations 
 
Strong communication and collaboration skills: The ability to translate ambiguous high-level analytics questions into concrete engineering asks 
 
Strong prioritization skills with the ability to manage multiple programs simultaneously with overlapping deadlines 
 
5+ years of professional experience with some or all of the following: data or analytics systems, frameworks or toolkits, Swift, Objective-C, JavaScript, C/C++, Java, TypeScript, React, Angular, Ember, Vue 
 
BS or MS in Computer Science or equivalent industry experience 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $171,600 and $302,200, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</div>

Software Engineer - Analytics and Data Privacy

Cerebro

<div>
 
 Are you ready to pioneer the future of AI? We&rsquo;re seeking a
 
 Research Scientist
 
 with expertise in training
 
 Multimodal Large Language Models (MLLMs)
 
 to join an ambitious, cutting-edge team working at the intersection of
 
 AI, deep learning, and human expression.
 
 This role offers a unique opportunity to define the next wave of AI innovation by building the
 
 first real-time human foundation model
 
 that integrates text, speech, facial expressions, and body language. If you&rsquo;re passionate about pushing research boundaries while delivering real-world applications, we&rsquo;d love to hear from you.
 
 About the Role
 
 
 
 As a Research Scientist, you&rsquo;ll drive the development of advanced systems capable of
 
 understanding and generating lifelike, human-like responses
 
 in real-time. This unified model will:
 
 <ul>
 <li>
 
 Understand fine-grained human signals
 
 &mdash; from a subtle change in tone to a quirked eyebrow &mdash; and infer meaning in context.
 </li>
 <li>
 
 Generate lifelike, responsive avatars
 
 whose gestures, expressions, and tone evolve frame-by-frame to deliver genuine, social, and emotionally intelligent interactions.
 </li>
 </ul>
 
 This is an opportunity to tackle blank-page problems and shape foundational technology in an area where real-time, multimodal interaction is still an
 
 unsolved frontier.This Role is Perfect for You If You...
 
 
 <ul>
 <li>
 
 Have a PhD
 
 (or equivalent experience) in training multimodal large language models, autoregressive architectures, or related fields, with a proven track record of publishing groundbreaking research.
 </li>
 <li>
 
 Excel at deep learning
 
 and know how to run the entire ML pipeline &mdash; from data preparation and rapid prototyping to large-scale model training, benchmarking, and evaluation.
 </li>
 <li>
 
 Thrive in ambiguity
 
 and enjoy charting your own path to solve complex, unstructured challenges.
 </li>
 <li>
 Are passionate about
 
 bridging research breakthroughs with real-world applications.
 
 </li>
 <li>
 Write
 
 clean, efficient code
 
 that scales and stands the test of time.
 </li>
 <li>
 Collaborate effectively with a diverse team of brilliant minds from different domains.
 </li>
 </ul>
 
 
 Why Join Us?
 
 
 <ul>
 <li>
 
 Shape the future of AI:
 
 This is a rare opportunity to work on foundational technology that unites text, speech, and vision into a cohesive, real-time system &mdash; tackling problems others haven&rsquo;t solved yet.
 </li>
 <li>
 
 Be part of a world-class team:
 
 Work alongside PhDs from top institutions like MIT, UW, and Oxford, with decades of combined experience at leading companies like Apple and Meta.
 </li>
 <li>
 
 Frontier research meets real-world impact:
 
 Our team has a proven track record of advancing AI avatars and audio-visual generation, publishing at top conferences, and shipping real-time ML products used by millions.
 </li>
 <li>
 
 Collaborate in-person:
 
 Join us at our Seattle HQ, where our team works together 5 days a week to drive innovation forward.
 </li>
 </ul>
 
 
 Key Details
 
 
 <ul>
 <li>
 
 Location:
 
 Seattle, Washington (In-person collaboration, 5 days/week)
 </li>
 <li>
 
 Funding:
 
 $10M seed round backed by Accel, South Park Commons, Lightspeed, and top angels from the AI industry.
 </li>
 </ul>
 
 
 What We&rsquo;re Building
 
 
 
 We&rsquo;re creating the
 
 first human foundation model
 
 that operates across text, speech, facial expression, and body language in real time. The goal? To make AI
 
 socially and emotionally intelligent,
 
 able to interpret subtle human signals and respond in a way that feels truly human.The industry has made strides in areas like voice AI and avatar visuals, but existing solutions remain fragmented. This role offers the chance to be a
 
 trailblazer
 
 in a field where the boundaries are still being defined.
 
 How to Apply
 
 
 
 If this sounds like the challenge you&rsquo;ve been looking for, let&rsquo;s connect! Apply now to join a team that&rsquo;s reshaping the future of AI &mdash; one lifelike interaction at a time.
 
 Note:
 
 This posting is intentionally anonymized to respect client confidentiality. We look forward to hearing from innovative thinkers ready to make an impact.
 
 
 Auto
 
 
 
</div>

AI Research Scientist - MLLM Training

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
Are you a tech-savvy storyteller who can translate complex cloud solutions into compelling customer value? At AWS, we're seeking a Product Marketing Manager who can shape the future of cloud computing.
 
 
As the world's leading cloud and AI provider with 200+ services, AWS needs strategic thinkers who can connect the dots across our vast portfolio. In this role, you'll work backwards from customer needs to influence product strategy across multiple domains - from Analytics and AI to Security and Developer Tools. 
 
We're looking for a unique blend of technologist and business strategist - someone who can dive deep into technical architecture while crafting portfolio-level value propositions that resonate with customers. You'll partner with product and GTM teams to identify our ideal customers, understand their priorities and use cases, shape our portfolio of offerings to address those use cases, synthesize market intelligence, and develop messaging that helps customers understand how AWS can transform their business. 
 
If you thrive at the intersection of technology and business strategy and want to impact how organizations around the world leverage cloud computing and AI, this role is for you.
 
 
Key job responsibilities 
Partner with product management and GTM teams to develop portfolio-level strategy documents and guide AWS service prioritization 
Create and own positioning and messaging that clearly articulates value propositions to customers
 
Analyze and synthesize market data from multiple sources (including direct customer feedback) to identify product opportunities and shape portfolio strategy
 
Lead product launch strategies and associated plans, including naming, target audience definition, and marketing vehicles
 
Develop technical content including presentations, demonstrations, and reference architectures that educate customers on AWS offerings
 
Represent AWS as a technical evangelist in executive briefings, industry events, and analyst interactions
 
Drive field enablement strategies to support product launches, campaigns, and customer success 
Aligns with technical and business leaders on primary cloud and AI use cases for their specific ideal customer profiles; defines best practice architecture and services for each use case<h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>Bachelor's degree or equivalent</li><li>6+ years of direct experience working in the Financial Services industry vertical</li><li>6+ years of hands-on experience with cloud architectures in technical domains (e.g., Analytics, Developer Tools, Compute, Databases, Generative AI)</li><li>Demonstrated experience creating technical content and delivering technical presentations to diverse audiences</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>MBA, or Master's degree</li><li>Experience developing go-to-market strategies for technical products</li><li>Track record of creating compelling technical demonstrations and reference architectures</li><li>Strong data analysis skills with ability to synthesize insights from multiple source</li><li>Experience presenting to executive-level audiences and industry analysts</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
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&rsquo;re applying in isn&rsquo;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 &amp; AD&amp;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, NY, New York - 161,900.00 - 218,600.00 USD annually 
USA, WA, Seattle - 147,200.00 - 198,700.00 USD annually</div>

Sr. Product Marketing Manager - Tech, Financial Services Industry, AWS Industry Marketing

Expedia Group

<div>Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.
Why Join Us?
To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win.
We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We&rsquo;re building a more open world. Join us.<div><div>
Introduction to the Team:
At Expedia Group, we are passionate about creating exceptional traveler and partner experiences through data-driven insights. Our Research team plays a critical role in shaping the future of global travel by uncovering what matters most to our customers and translating those insights into meaningful product and brand decisions.
As part of the team, you&rsquo;ll collaborate closely with Product, Design, Analytics, and Engineering partners to inform decision-making across the product lifecycle. We value rigor, curiosity, and a strong point of view grounded in evidence.
In this Role, you will:
</div><div><ul><li>Conduct qualitative and quantitative research activities, including usability testing (lab and remote), surveys, interviews, and analysis of behavioral data with guidance from senior researchers.
</li></ul></div><div><ul><li>Analyze research data with supervision, applying foundational statistical reasoning and structured qualitative synthesis techniques.
</li></ul></div><div><ul><li>Contribute to integrating multiple data sources (e.g., survey data, usability findings, product metrics) into cohesive, actionable insights.
</li></ul></div><div><ul><li>Communicate findings clearly through written summaries and presentations to product and design partners.
</li></ul></div><div><ul><li>Demonstrate curiosity about user behavior, product performance, and emerging research methodologies.
</li></ul></div><div>Minimum Qualifications:
</div><div><ul><li>Bachelor&rsquo;s degree in a relevant field (e.g., Psychology, HCI, Statistics, Sociology, Human Factors, Data Science) or equivalent practical experience.
</li></ul></div><div><ul><li>Experience conducting or supporting user research studies (academic, internship, or industry).
</li></ul></div><div><ul><li>Ability to moderate usability sessions or field research with guidance.
</li></ul></div><div><ul><li>Foundational quantitative skills, including basic statistical concepts and beginner-level SQL.
</li></ul></div><div><ul><li>Experience analyzing and synthesizing qualitative and/or quantitative data with supervision.
</li></ul></div><div><ul><li>Understanding of user-centered design principles and product development processes.
</li></ul></div></div><div><div><ul><li>Clear written and verbal communication skills.
</li></ul></div><div>Preferred Qualifications:
</div><div><ul><li>Experience working across both qualitative and quantitative methods within a single project.
</li></ul></div><div><ul><li>Familiarity with survey platforms (e.g., Qualtrics), analytics dashboards, or experimentation frameworks.
</li></ul></div><div><ul><li>Experience using SQL, R, or Python for intermediate data exploration.
</li></ul></div><div><ul><li>Experience working on AI-enabled products or intelligent systems, with an understanding of how users interact with these tools.
</li></ul></div><div><ul><li>Familiarity with collaborative design tools (e.g., Figma).
</li></ul></div></div>The total cash range for this position in Seattle is $87,500.00 to $122,500.00. Employees in this role have the potential to increase their pay up to $140,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.
The total cash range for this position in New York is $94,500.00 to $132,000.00. Employees in this role have the potential to increase their pay up to $151,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role. The total cash range for this position in Austin is $87,500.00 to $122,500.00. Employees in this role have the potential to increase their pay up to $140,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.
Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual&rsquo;s knowledge, skills, and experience. Pay ranges may be modified in the future.
Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee&rsquo;s passion for travel, we offer a wellness &amp; travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership. View our full list of benefits.
Accommodation requests
If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request.
We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others.
Expedia Group's family of brands includes: Brand Expedia&reg;, Hotels.com&reg;, Expedia&reg; Partner Solutions, Vrbo&reg;, trivago&reg;, Orbitz&reg;, Travelocity&reg;, Hotwire&reg;, Wotif&reg;, ebookers&reg;, CheapTickets&reg;, Expedia Group&trade; Media Solutions, Expedia Local Expert&reg;, CarRentals.com&trade;, and Expedia Cruises&trade;. &copy; 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50
Employment opportunities and job offers at Expedia Group will always come from Expedia Group&rsquo;s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you&rsquo;re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs.
Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.</div>

Mixed Methods UX Researcher I

Explore 139+ Data scientist product analytics in Seattle this March. Find roles across top companies and apply now to boost your career.