Urwah Admin

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.
Data Scientist II &ndash; Analytics 
At Expedia Group, our mission is to power global travel for everyone, everywhere. If you're passionate about creating exceptional customer experiences and thrive in a collaborative, fast-paced, high-growth environment, you&rsquo;ll love being part of Expedia Group Advertising's Yield &amp; Analytics (Y&amp;A) team.
We&rsquo;re looking for an exceptional Data Scientist II, Analytics to join our team. If you have a strong analytical mindset, a strategic approach, and a bias for action, this is your opportunity to make a real impact. In this role, you&rsquo;ll collaborate closely with product partners to optimize and launch best-in-class onsite advertising solution.
This is an exciting opportunity to join a dynamic, international team where data is at the heart of every decision, and customer centricity drives everything we do. 
In this role, you will:<ul><li>
Collaborate with product teams to harness data from diverse sources&mdash;uncovering new product opportunities or identifying friction points in existing experiences. Translate insights into actionable strategies that drive product innovation and enhancement.</li><li>
Design and execute A/B tests to rigorously evaluate product performance and feature improvements. Quantify outcomes into clear financial impact, and perform in-depth analysis to extract insights that inform the next iteration of development.</li><li>
Define, track, and visualize key metrics through intuitive dashboards to enable real-time business monitoring. Proactively surface metric shifts and conduct root-cause analyses to identify underlying drivers.</li><li>
Deliver impactful product and customer insights to cross-functional stakeholders, empowering leadership and product teams to make informed, data-driven decisions.</li><li>
Support product roadmap planning and go-to-market (GTM) strategy by providing analytical guidance and strategic recommendations that align with business objectives and customer needs.</li></ul>
Experience &amp; Qualifications:
Must Have:<ul><li>
Educational Background: Bachelor&rsquo;s degree (or equivalent) in Statistics, Mathematics, Economics, Data Science, or a related field.</li><li>
Experience: 2+ years of analytics experience with a focus on product analytics and measurements.</li><li>
Technical Expertise: Strong proficiency in big data tools (SQL, Python, Databricks, AWS, etc.) for working with large, complex datasets.</li><li>
Cross-functional Collaboration: Proven track record of collaborating with teams across Product, Finance, and other departments to integrate data insights into business strategies.</li><li>
Problem-Solving &amp; General Management: Strong analytical, problem-solving, and leadership skills to manage complex initiatives and cross-functional relationships.</li></ul>
Good to Have:<ul><li>
Advanced Analytical Skills: Expertise in experimentation, causal inference, and advanced analytics, including the ability to dive deeper into A/B test data beyond statistical significance.</li><li>
Economic Modeling: Knowledge of economic modeling techniques such as price elasticity and time series analysis is beneficial.</li><li>
Multivariate Analysis: Familiarity with regression, classification, and other multivariate analysis methods.</li><li>
Machine Learning Models: Exposure to machine learning models such as recommendations, multi-armed bandit algorithms, or reinforcement learning</li></ul>
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, religion, gender, sexual orientation, national origin, disability or age.</div>

Data Scientist II, Analytics

<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><h1 class="jobSectionHeader">
Data Scientist II - Advertising
</h1>Introduction to the Team
</div><div>Millions of travelers turn to Expedia Group&rsquo;s platforms each week to plan their next great adventure, presenting tremendous opportunity for partners to reach and inspire a global audience. The Advertising Pricing &amp; Yield team plays a pivotal role in optimizing our advertising revenue by blending data analysis, business insight, and strategic pricing.
</div><div>We&rsquo;re a collaborative, high-energy group, constantly evolving and partnering closely with teams across sales, product, operations, and finance. Here, you&rsquo;ll enjoy excellent visibility into Expedia Group&rsquo;s overarching business opportunities and be empowered to help us drive innovation as we continue to lead the travel media industry.
</div><div>In this role, you will:
</div><div><ul><li>Develop, maintain, and enhance business-critical reports, dashboards, and visualizations to inform decision-making and revenue strategy for our ads business.
</li></ul></div><div><ul><li>Perform ad hoc analyses, employing advanced visualization techniques to present insights and recommendations to stakeholders across Expedia Group Advertising.
</li></ul></div><div><ul><li>Support new product launches and strategic initiatives with analytics and performance measurement aimed at driving ads revenue growth.
</li></ul></div><div><ul><li>Create insights and actionable next steps for our off-site advertising product catalogue.
</li></ul></div><div><ul><li>Maintain high standards of data integrity through rigorous source control, thorough documentation, testing protocols, and quality assurance.
</li></ul></div><div><ul><li>Collaborate with teams in product, data engineering, and finance to implement scalable analytics solutions and optimize key metrics.
</li></ul></div><div>Experience and Qualifications:
</div><div><ul><li>Bachelor&rsquo;s degree in a quantitative or business discipline (e.g., Mathematics, Statistics, Economics, Finance, Advertising, Business Administration, Media, or related field) or equivalent experience.
</li></ul></div><div><ul><li>Preferred: 3&ndash;4+ years of professional experience analyzing and communicating actionable insights from data, preferably in the advertising industry.
</li></ul></div><div><ul><li>Strong analytical approach&mdash;able to tackle complex problems, manage ambiguity, and provide structure and clarity.
</li></ul></div><div><ul><li>Demonstrated ability to manipulate and synthesize large datasets, using SQL or equivalent and big data tools/languages.
</li></ul></div><div><ul><li>Skilled in data visualization, with experience using Tableau, Looker, or similar platforms.
</li></ul></div></div><div><div><ul><li>Excellent communicator, able to clearly explain complex analyses and recommendations to both technical and non-technical audiences.
</li></ul></div><div><ul><li>Results-driven, intellectually curious, and comfortable working independently with a high degree of ownership.
</li></ul></div><div><ul><li>Passionate about translating data-driven insights into practical business solutions in a commercial setting.
</li></ul></div><div><ul><li>A strong collaborator willing to go beyond the scope of the role to support team success.
</li></ul></div><div><ul><li>Experience in digital advertising, e-commerce, pricing, or revenue management.
</li></ul></div><div><ul><li>Proficiency with Python or another major language for machine learning/data science.
</li></ul></div><div><ul><li>Experience developing, deploying, and maintaining data science products in production environments.
</li></ul></div><div><ul><li>Flexibility to work GMT-based hours.
</li></ul></div></div>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, religion, gender, sexual orientation, national origin, disability or age.</div>

Data Scientist II - Advertising

<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.
Senior Software Development Engineer - Advertising Technology
Introduction to team
Our Expedia Product &amp; Technology division builds innovative products, services, and tools to deliver high-quality experiences for travellers, partners, and our employees. A unified, singular technology platform powered by data and machine learning provides secure, differentiated, and personalised experiences for the traveler and our partners that drive loyalty and customer satisfaction.
The goal of Advertising Tech team is to spearhead advertising products and services across many Expedia brands including BEX, Hotels.com, Portfolio Brands (COMET &amp; Hotwire.com), Expedia Partner Sites (EPS), and Vrbo. We help our advertisers identify travellers on EG sites, target specific traveller criteria, and then deliver the most relevant products.
As a Senior Software Development Engineer, you will propose, design and implement various initiatives. As a member of the team, you will work in alliance with global teams providing the technical expertise needed to overcome hard problems. We value rigor and innovative thinking in our development process and believe in the power of a motivated &amp; agile development team.
In this role, you will:
<ul><li>Lead and actively participate in all phases of the software development lifecycle, including the design, analysis, development, and deployment efforts for multiple enterprise applications projects to tackle sophisticated business problems</li><li>
Deconstruct large, sophisticated problems into manageable and achievable breakthroughs driving streamlined execution by the team</li><li>
Provide technical guidance and mentoring to peers and more junior engineers, helping them overcome obstacles and have growth opportunities</li><li>
Collaborate with EG leaders with vision to architect and build robust applications and thoughtfully choose relevant technologies to evolve EG travel platform</li><li>
Maintain, monitor and improve our solutions and systems with a focus on service excellence; apply industry standards and new technologies to improve efficiency, quality, and system performance</li><li>
Technologies we use: Java, Scala, Dropwizard, Spring, Node.js, React, GraphQL, Docker, Kafka, Cassandra, MongoDB, Hadoop, Qubole, Spark, DataDog, Splunk, AWS cloud</li></ul>
Experience and qualifications:<ul><li>
Minimum Qualifications:</li><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science or related technical field or equivalent related professional experience.</li><li>
8+ years of professional, post-college software development in an object-oriented language.</li><li>
Preferred Qualifications:</li><li>
A deep understanding of software design principles, algorithms and data structures and commitment to technical excellence.</li><li>
Experience building on cloud infrastructure (AWS preferred) with sound architectural patterns and scalable, cost-efficient production quality systems.</li><li>
A self-starter who is consistently looking to innovate and find ways to enhance our customers' experience, with ability to own solutions end to end.</li><li>
Strong communication skills and a highly effective collaborator.</li><li>
Embrace change, always open to replacing what you built yesterday with something better today.</li><li>
Experience in applying AI to practical and comprehensive technology solutions and working with Data Scientists.</li><li>
Experience with ML, deep learning, TensorFlow, Python, NLP.</li></ul>
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, religion, gender, sexual orientation, national origin, disability or age.</div>

Senior Software Development Engineer - Advertising Technology

<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.
Introduction to the team
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.
The Technical Audit Manager (Level L) leads and executes complex technical audit and compliance engagements as a senior individual contributor. This role combines advanced technical expertise with hands-on audit delivery and may mentor or guide junior team members. As the team expands, the L level may also lead a pod of auditors. The position assists senior leadership in shaping CAS mission and strategy and drives continuous improvement in risk and compliance practices.
In this role, you will:<ul><li>
Lead and execute complex audit projects independently, and with support from J/K level team members as needed.</li><li>
Perform advanced risk assessments, control evaluations, and compliance reviews for technical domains.</li><li>
Mentor and guide less experienced auditors, fostering a collaborative and high-performance culture.</li><li>
Direct people management is not required unless assigned as a pod lead.</li><li>
Contribute to CAS strategy, best practices, and continuous improvement initiatives.</li><li>
Prepare executive-level reports and communicate findings and recommendations to senior leadership.</li><li>
Collaborate with Product, Security, Engineering, and corporate teams to align risk and compliance objectives.</li><li>
Advise on SOX and other regulatory audits, including control design and remediation strategies.</li><li>
Identify opportunities for control optimization, automation, and process improvements.</li><li>
Position to lead a pod of auditors as the team grows and new J/K level hires are made.</li><li>
Ensure resource allocation and manage project timelines effectively for assigned audits.</li></ul>
Experience &amp; Qualifications:<ul><li>
Minimum 6+ years in technical audit, risk assurance, or compliance; direct audit experience required.</li><li>
Prior experience with Big 4 or similar consulting firms strongly preferred.</li><li>
Proven experience in leading and executing complex audits; people management experience is a plus but not mandatory.</li><li>
MBA in IT or Information Security, OR Engineering degree in Computer Science with Information Security electives.</li><li>
Advanced knowledge of IT General Controls, cybersecurity, cloud operations, data governance, and privacy compliance.</li><li>
Familiarity with SOX, PCI, SOC2, and other regulatory requirements.</li><li>
Preferred: CISA or CISSP (or similar), CISM, CRISC. Cloud certifications such as AWS Certified Cloud Practitioner or Azure Fundamentals are strongly desired. AI exposure or certification (e.g., AI risk management, AI governance) is highly preferred.</li><li>
Strong analytical and critical thinking skills; ability to navigate ambiguity and drive results.</li><li>
Excellent written, oral communication, and stakeholder management skills.</li><li>
Strategic Thinking ,technical expertise , stakeholder engagement ,problem solving ,leadership &amp; mentoring and project management.</li></ul>
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, religion, gender, sexual orientation, national origin, disability or age.</div>

Manager, Technical Audit/Compliance

<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.
Machine Learning Scientist III (Bangalore)
Introduction to team
The Traveler Business Team builds and drives growth for our global consumer businesses&mdash;Expedia, Hotels.com, and Vrbo. This division creates compelling and differentiated traveler value for each brand by setting the strategic vision, operating strategy, and plan. Responsibilities include investment allocation and prioritization, P&amp;L accountability, and leading cross-functional teams across Expedia Group, who are all held accountable to a single scorecard.
Are you passionate about using Machine Learning (ML) and Natural Language Processing techniques to enhance the Traveler Experience? Our Marketing Content Machine Learning Science team focuses on generating and optimizing content that delivers relevant, personalized experiences to travelers and drives value for our business.
If you're ready for your next challenge and want to innovate in a forward-thinking and cutting-edge team, we want to speak with you!
We are looking for a self-motivated and independent individual who will have end to end ownership over driving impact to Expedia&rsquo;s largest Marketing channels. With ample access to the latest technology this could be an exciting position for someone who loves to explore and deeply understand applications of machine learning!
In this role, you will:
Develop and implement advanced machine learning models (including Large Language Models) and statistical algorithms, processing massive datasets to build scalable prototypes.
Explore new content opportunities in text and image domains to create personalized traveler experiences with high business impact.
Design and run experiments (A/B testing, multi-variate, factorial design, stratified sampling) to measure the effectiveness of campaigns and new initiatives.
Collaborate with cross-functional teams, including Machine Learning Science, Marketing, and Engineering, and present findings to executives and stakeholders to drive strategic decisions.
Contribute to the success of Expedia's ML community by mentoring team members, fostering a collaborative culture, and sharing best practices with other ML teams.
Experience and Qualifications:
Master&rsquo;s Degree or PhD preferred in a related field, or equivalent related professional experience
Proficient in one or more data science programming languages (Python, Java, R).
Strong expertise in ML techniques such as Bayesian Methods, Clustering, Decision Trees, Latent Dirichlet Allocation, NER, Random Forests, and more.
Proven experience applying NLP techniques and LLMs in production to solve business problems and generate significant value.
Accustomed to collaborative, fun work environments.
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, religion, gender, sexual orientation, national origin, disability or age.</div>

Machine Learning Scientist

<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.
Machine Learning Engineer II - MLOPS:
Are you fascinated by machine learning and building robust machine learning pipelines which process massive amounts of data at scale and speed to provide crucial insights to the end consumers?
This is exactly what we, the Machine Learning Engineering group in Expedia, do. Our mission is to partner with our Machine Learning Science counterparts to use AI/ML to collaboratively transform Expedia&rsquo;s data assets into intelligent and real-time insights to support a variety of applications which are used by 1000+ market managers, analysts, our supply partners, and our travelers. Our work spans across a variety of datasets and ML models and across a diverse technology stack ranging from Spark, Sagemaker, Airflow, Databricks, Kubernetes, AWS and much more!
<h2 class="jobSectionHeader">In this role, you will:</h2><ul><li>
Work in a cross-functional team of Machine Learning engineers and Data scientists to design and code large scale batch and real-time data pipelines on the AWS.</li><li>
Prototype creative solutions quickly by developing minimum viable products and work with seniors and peers in crafting and implementing the technical vision of the team</li><li>
Communicate and work effectively with geographically distributed cross functional teams
</li><li>Participate in code reviews to assess overall code quality and flexibility
</li><li>Resolve problems and roadblocks as they occur with peers and help unblock junior members of the team. Follow through on details and drive issues to closure</li><li>
Define, develop and maintain artifacts like technical design or partner documentation</li><li>
Drive for continuous improvement in software and development process within an agile development team</li><li>
Participate in user story creation in collaboration with the team</li><li>
Support and troubleshoot data and/or system issues as needed</li></ul>
Experience and Qualifications:
<ul><li>Degree in software engineering, computer science, informatics or a similar field.</li><li>
Comfortable programming in Scala, or Java and have hands-on experience in OOAD, design patterns, SQL and NoSQL.</li><li>
Knowledgeable in Hadoop-ecosystem technologies, in particular Hadoop, Hive, and Spark.</li><li>
Passionate about learning, especially in the areas of microservices, design patterns, system architecture, Data Science and Machine Learning.</li><li>
Experience of using cloud services (e.g. AWS)</li><li>
Experience working with Agile/Scrum methodologies.</li><li>
High-level understanding Machine learning pipelines</li><li>
Experience with Python.</li><li>
Experience with machine learning frameworks such as TensorFlow</li><li>
Experience in crafting real-time streaming applications, preferably in Spark, and Kafka/KStreams.</li><li>
Familiar with workflow management tools (e.g. Airflow)</li><li>
Familiar with the e-commerce or travel industry.</li></ul>
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, religion, gender, sexual orientation, national origin, disability or age.</div>

Machine Learning Engineer II - MLOPS

<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.<h1 class="jobSectionHeader">
Data Scientist III, Commercial Operations Analytics</h1><div><div>
At Expedia Group, Data and Analytics are the core of all our strategy and decisions, responsible for the impactful insights that guide and optimize our global sales performance.
</div><div>Our team helps the Commercial Operations organization drive transformational projects across the Sales organization. By joining our team as a Data Scientist III, Operations Optimization, you will put your problem-solving skills to the challenge and contribute to enhancing the Account Management space at Expedia Group.
</div><div>In this role, you will drive operational excellence for Account Management by delivering actionable insights and dashboards that enable Account Managers to make better strategic and tactical decisions and hold more effective conversations with partners.
</div><div>To achieve this, you will build a relationship of trust with stakeholders across Competitive Intelligence, Account Management, Commercial Operations,, Machine Learning Science, and Product &amp; Tech; and will have the opportunity to produce and deliver insights to commercial leaders.
</div><div>In this role, you will:
</div><div><ul><li>Engage broadly and proactively with the organization to identify and prioritize challenges arising in the lodging area
</li></ul></div><div><ul><li>Use your creativity and commercial acumen to frame business challenges as analytical problems and apply problem-solving techniques to break them down into concrete analytical tasks
</li></ul></div><div><ul><li>Extract data from multiple data sources and combine them into the required datasets
</li></ul></div><div><ul><li>Apply analytics techniques to deliver insights supporting decision-making of account management stakeholders
</li></ul></div><div><ul><li>Articulate confidently decision-making rationale, methodology, and recommendations to both technical and non-technical partners, using clear and compelling storytelling in presentations
</li></ul></div><div>Experience and Qualifications:
</div><div><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in a quantitative field such as Business, Economics, Statistics, Mathematics, or a related discipline, or equivalent experience
</li></ul></div><div><ul><li>Preferred: 5+ years of experience in analytics, business intelligence, or a related field, with a proven track record of delivering insights that drive business impact
</li></ul></div><div><ul><li>Proficiency in SQL, Tableau, Excel, and PowerPoint; knowledge of Python or R is a plus
</li></ul></div><div><ul><li>Strong problem-solving skills and the ability to frame complex business problems as analytical tasks
</li></ul></div><div><ul><li>Excellent communication and presentation skills, with the ability to influence stakeholders at all levels, including VP+
</li></ul></div><div><ul><li>Experience managing multiple projects simultaneously and delivering results in a fast-paced environment
</li></ul></div></div><div><div><ul><li>Familiarity with statistical techniques, hypothesis testing, and performance measurement frameworks is a plus
</li></ul></div></div>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.
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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, religion, gender, sexual orientation, national origin, disability or age.</div>

Data Scientist III, Commercial Operations Analytics

Join Expedia Group and explore 8   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.