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14 Expedia Group Jobs

Machine Learning Scientist III

4-8 years

Bangalore / Bengaluru

1 vacancy

Machine Learning Scientist III

Expedia Group

posted 3+ weeks ago

Job Role Insights

Flexible timing

Job Description

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 global hybrid work setup (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey

Were building a more open world

Join us

Machine Learning Scientist III (Bangalore)

Introduction to team

Our Marketing division is committed to establishing enduring connections with both travelers and partners

We aim to foster a deep sense of trust and affinity for our brands, achieved through creative excellence and innovative marketing strategies

Success in this role is fueled by your innovative contributions to our automation products

You'll be instrumental in advancing machine learning methodologies to tackle complex business challenges

Your crucial skills include independently assessing model performance, crafting end-to-end solutions, and effectively communicating compelling rationales

Your proficiency in refining and optimizing practices, methodologies, and tools for the SEO team is pivotal for driving continuous improvement

In This Role, You Will

You will write code that is clean, maintainable, optimized, modular with good naming conventions and in a way that enables efficient and accurate translation into a data pipeline

You will work on advanced GenAI models (LLMs) to drive marketing content optimization, leveraging cutting-edge technology to enhance content relevance, improve engagement, and streamline processes for better business outcomes

You will apply an understanding of supervised and unsupervised machine learning theory

You will tackle business problems by applying fundamental machine learning models, algorithms and techniques using standard libraries

You will modify/adapt models and techniques to suit business needs

You will independently conduct proper model performance evaluation without help

You will build an end-to-end design of one step model based on detailed understanding of business requirements, including approach, choice of algorithm and data sources

You will seek relevant academic papers and experience to point out strengths and weaknesses of current models and recommend more sophisticated designs when needed

You will select valid approaches, appropriate in terms of level of effort, favoring iterative delivery that solves for the objective, not the ask (i e , not just order-taking)

Use advanced and sophisticated understanding of the business problem space to inform the design of the solution

You will communicate a compelling rationale and narrative to peers and partners

You will influence action and results through writing clearly in an accessible way for a wide audience

Anticipate questions, structuring presentations around a clear narrative, and is concise in what's included

Present clearly and engagingly

You will frame challenging business problems as a data science problem and concrete set of tasks

You will leverage othersskills, knowledge, and expertise effectively in problem solving and delivering impact

You will manage stakeholders with frequent communication, expectation management, meeting deadlines and minimizing surprises

You will manage the backlog well, including across large cross-functional teams

Deliver projects to maximize business impact coordinated with wider business timing

Experience And Qualifications

Bachelor's or master's degree in a quantitative field such as mathematics, physics, engineering, operations research, data science or similar

6+ years of experience in industry or equivalent

Strong proficiency with Python / R and SQL

Demonstrated ability to build and maintain multiple data science project/product in production environments

Extensive experience one or more of the following: advanced statistical techniques for A/B testing, methods for experimental design, observational causal inference, or quasi-experimental analysis

Record of accomplishment for executing independent projects and leading complex, multi-functional projects with several dependencies

You understand the concepts and steps involved in working with real-world large data sets: from domain-specific problem understanding, data preparation, travel-related data processing, data integration, data structures for ML, data pipelining, data modeling, and AI/ML algorithms; strong data science knowledge and skills

You have working and/or theoretical knowledge on NLP and Transformers

Advanced proficiency in GitHub for collaborative development and version control

Proficient in cloud computing, specializing in big data applications and leveraging MLOps for streamlined machine learning model deployment

You have proven knowledge of ML techniques such as Neural Networks, XGBoost, Bayesian methods, clustering, decision trees, random forests, NLP, etc , excellent grasp of statistical concepts and methods

You have a passion for solving problems and finding patterns and insights within structured and unstructured data

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, Hotels com, ExpediaPartner Solutions, Vrbo, trivago, Orbitz, Travelocity, Hotwire, Wotif, ebookers, CheapTickets, Expedia Group?Media Solutions, Expedia Local Expert, CarRentals com?, and Expedia Cruises?

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 Groups Talent Acquisition and hiring teams

Never provide sensitive, personal information to someone unless youre 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


Employment Type: Full Time, Permanent

Functional Areas: Analytics & Business Intelligence

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What people at Expedia Group are saying

What Expedia Group employees are saying about work life

based on 342 employees
83%
79%
66%
86%
Flexible timing
Monday to Friday
No travel
Day Shift
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Expedia Group Benefits

Free Transport
Cafeteria
Health Insurance
Work From Home
Team Outings
Free Food +6 more
View more benefits

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