Machine Learning Scientist III (Paid Apps Team)
Washington - Seattle Campus
Full Time Senior-level / Expert USD 137K - 220K
Expedia Group
We empower you to discover a world of growth and potential, so you can transform travel for all.If you need assistance during the recruiting process due to a disability, please reach out to our Recruiting Accommodations Team through the Accommodation Request form. This form is used only by individuals with disabilities who require assistance or adjustments in applying and interviewing for a job. This form is not for inquiring about a position or the status of an application.
Machine Learning Scientist III - Paid App, Social, and New Channels
Are you passionate about pushing the boundaries of machine learning in a high-growth environment? If you excel in dynamic, collaborative settings and have a strong interest in applying machine learning and data science to glean actionable insights, Expedia's Paid App team has a compelling opportunity for you. As a Machine Learning Scientist III, you'll lead impactful projects, shaping the future of Paid App Data-driven Products and Applications with practical machine learning and deep learning approaches.
At Expedia, we leverage the power of data to drive innovation and enhance user engagement. Our Paid App team operates at the forefront of the dynamic business landscape, focused on continuous testing, learning, and delivering high returns on investments. If you thrive in a collaborative, rewarding, and dynamic learning environment and are eager to deepen your expertise in machine learning, a significant opportunity within the Paid App Data Science team awaits.
As a seasoned Machine Learning Scientist III, you'll be a senior leader driving advancements in machine learning and deep learning methods, applying your expertise to real-world data with excellent tech mentorship. Your responsibilities include developing end-to-end scalable machine-learning-based solutions that significantly impact revenue. Serving as the resident expert on machine learning methods, you will drive algorithmic performance, develop and improve content optimization models, and influence senior leadership for positive outcomes, steering the channel towards improved revenue, reduced costs, increased customer engagement, and enhanced brand value.
What you'll do:
Lead the evolution of bidding algorithms, ads content optimization, and optimize capital allocation for paid app, social, and new channels, employing advanced machine learning techniques
Develop cutting-edge, end-to-end data-driven solutions using a diverse range of machine learning approaches, including supervised, unsupervised, clustering, NLP, computer vision, and ranking
Innovate image ranking solutions for dynamic ad campaign performance enhancement
Combine NLP and computer vision to develop state-of-the-art catalog optimization models
Create anomaly detection models through ensembling various simple and sophisticated models
Utilize statistical methods for data-driven decision-making and manipulate large datasets for business insights
Communicate complex analytical topics to multiple partners and senior leadership, fostering cross-functional collaboration
Lead testing and experimentation, employing cutting-edge machine learning techniques to enhance overall performance
Who you are:
Minimum 4 years of relevant work experience in applied machine learning and deep learning
Master’s or PhD degree in Computer Science, Statistics, Economics, Engineering, Applied Mathematics or related quantitative field; or equivalent related professional experience
Strong object-oriented programming skills in Python (hands-on experience is a must) and in ML and Deep learning Python libraries
Expertise in advanced machine learning techniques, including deep learning, data mining, clustering, regression models, predictive modeling, optimization, and ranking
Familiarity with different testing methods (A/B OLS regression, t-test, Bayesian testing, Difference in Difference testing, look-alike testing, etc.)
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®, Hotels.com®, Expedia® Partner Solutions, Vrbo®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, CarRentals.com™, and Expedia Cruises™.
© 2021 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’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 @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.Tags: Bayesian Clustering Computer Science Computer Vision Data Mining Deep Learning Economics Engineering Excel Machine Learning Mathematics NLP OOP PhD Predictive modeling Python Security Statistics Testing
Perks/benefits: Career development Health care Travel Wellness
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Data Science Manager jobs
- Open Lead Data Analyst jobs
- Open MLOps Engineer jobs
- Open Principal Data Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Engineer II jobs
- Open Data Manager jobs
- Open Power BI Developer jobs
- Open Data Scientist II jobs
- Open Junior Data Scientist jobs
- Open Sr Data Engineer jobs
- Open Business Data Analyst jobs
- Open Data Analytics Engineer jobs
- Open Product Data Analyst jobs
- Open Business Intelligence Developer jobs
- Open Data Analyst Intern jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Big Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Principal Data Scientist jobs
- Open Azure Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Junior Data Engineer jobs
- Open Research Scientist jobs
- Open Data quality-related jobs
- Open GCP-related jobs
- Open Business Intelligence-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open PhD-related jobs
- Open Deep Learning-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open PyTorch-related jobs
- Open TensorFlow-related jobs
- Open APIs-related jobs
- Open NLP-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open LLMs-related jobs
- Open Generative AI-related jobs
- Open CI/CD-related jobs
- Open Kubernetes-related jobs
- Open Hadoop-related jobs
- Open Data governance-related jobs
- Open Airflow-related jobs
- Open Databricks-related jobs