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Machine Learning Scientist II - Paid App, Social, and New Channels



Software Engineering
Seattle, WA, USA
Posted on Tuesday, January 23, 2024

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Data Scientist II - Paid App, Social, and New Channels

Are you intrigued by the prospect of joining a highly successful and rapidly growing team? Do you thrive in a dynamic, collaborative environment, and are you passionate about transforming data into actionable insights? Expedia's Paid App team is on the lookout for a hands-on Data Scientist to play a pivotal role in shaping the future of Paid App Data-driven Products and Applications, contributing to high-impact projects that generate billions of dollars in revenue.

At Expedia, we recognize the transformative power of data in driving innovation and enhancing user engagement. Our Paid App team is at the forefront of the dynamic business landscape, where continuous testing, learning, and delivering high returns on investments are the norm. If you relish a collaborative, rewarding, and dynamic learning environment, where career growth is not just encouraged but essential, you'll find immense satisfaction as a member of the Paid App Data Science team. This is your opportunity to expand your applied machine learning and statistics skills.

As a Data Scientist, you'll be a key contributor, well-versed in applied machine learning methods, eager to apply your knowledge to real-world data with excellent tech mentorship. Your responsibilities will include building end-to-end scalable machine-learning-based solutions that significantly impact revenue. You will be the linchpin in cross-functional partnerships with Marketing, Product, Engineering, and Analytics teams, serving as the resident expert on data science methods. Your expertise will drive algorithm performance, manage bidding operations, and influence senior leadership for positive outcomes, ultimately guiding the channel to improve company revenue, reduce costs, increase customer engagement, and enhance brand value.

What You'll Do:

  • Contribute to the development of bidding algorithms, attribution models, ads content optimization, and optimize capital allocation for paid app, social, and new channels

  • Develop end-to-end data-driven solutions using a spectrum of machine learning techniques, including supervised, unsupervised, clustering, NLP, computer vision, and ranking techniques

  • Mitigate algorithm risks, evaluate methods, and refine data pipelines for smarter signal processing

  • Utilize statistical methods for data-driven decision-making and manipulation of large datasets for business insights

  • Detect changes in key market forces and apply analytics to present tangible business problems and actions

  • Communicate complex analytical topics to multiple partners and senior leadership, fostering cross-functional collaboration

  • Troubleshoot and identify root causes of operational issues, automating processes for improved productivity

  • Collaborate with partners, product, and technical teams to contribute to the development of tools and products

  • Actively participate in testing and experimentation to enhance overall performance

Who you are:

  • Minimum 2 years of relevant work experience in data science and machine learning

  • Master’s in a quantitative field (Computer Science, Statistics, Economics, Engineering, Applied Mathematics, etc.) or equivalent experience

  • Strong object-oriented programming skills in Python (hands-on experience is a must)

  • Hands-on experience in SQL (Pyspark preferred, our code base is based on Pyspark)

  • Applied experience with data mining, clustering, regression models, predictive modeling, and optimization

  • Strong quantitative, analytical, and problem-solving skills with proficiency in scripting

  • Familiarity with different testing methods (A/B OLS regression, t-test, Bayesian testing, Difference in Difference testing, look-alike testing, etc.)

The total cash range for this position in Seattle is $112,000.00 to $156,500.00. Employees in this role have the potential to increase their pay up to $179,000.00, 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’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’s passion for travel, we offer a wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership. View our full list of benefits.

About Expedia Group

Expedia Group (NASDAQ: EXPE) powers travel for everyone, everywhere through our global platform. Driven by the core belief that travel is a force for good, we help people experience the world in new ways and build lasting connections. We provide industry-leading technology solutions to fuel partner growth and success, while facilitating memorable experiences for travelers. Expedia Group's family of brands includes: Brand Expedia®,®, Expedia® Partner Solutions, Vrbo®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group™ Media Solutions, Expedia Local Expert®,™, and Expedia Cruises™.

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Employment opportunities and job offers at Expedia Group will always come from Expedia Group’s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you’re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals to whom we have not made prior contact. Our email domain is The official website to find and apply for job openings at Expedia Group is

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.