Director of Data Science

| Bellevue
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Expedia

Are you passionate about solving real world problems with advanced machine learning methods? Do you want to have impact on a business? Do tools like TensorFlow and PyTorch sound intriguing? Our Machine Learning team utilizes large-scale data on cloud to power various business areas. We have built bidding algorithms for Meta and SEM marketing channels where Expedia spends multi-million dollars every year. We are delving into SEM keywords domain where we can leverage Natural Language Process to better understand keywords intent and to automate ad copy and landing pages. We run multiple revenue and pricing optimization pipelines for various lines of business, including packages, flight, Media Solutions (our display ads platform for external advertisers) and etc. to help them generate more revenue and growth.

Our team is a part of the Expedia Worldwide Engineering organization within Expedia Group, and we are looking to have a director of machine learning scientist/practitioner join this core machine learning team. We are a community of engineers who have effective relationships with many satisfied clients. Your contributions will affect millions of our customers and will have a direct impact on our business results. Our team's challenges include deriving value from sparse data, understanding and participating in large scale auctions and using behavioral and pricing data for personalization, and much more. Expedia has deep and rich data sets, many still untapped, and your real passion for the craft of machine learning algorithms has the power to unlock tangible business growth.

As the head of a quickly growing team, you understand the balance between R&D and hands-on product work - you know how to achieve business objectives while developing internal capabilities within the organization. Highly collaborative, you’ve scaled a data science team to meaningful enterprise impact before while boosting the data driven culture of the organization.

Responsibilities:

This individual will own a broad responsibility and will be focused on:

• Building the next generation of package pricing strategy using AI/ML to create a highly personalized, dynamic, and contextual experience to connect and delight our customers

• Developing and training deep learning models to scale workflows for both customers and internal users; Developing the workflow and organizational knowledge around effective data strategy

• Support new product development ideas by providing guidance on the best use of AI/ML to develop products or supporting tools. Ability to lead initiatives across multiple product areas, provide status and executive presentations

• Driving innovation against critical customer problems using Machine Learning and Artificial Intelligence

• Evaluating the work to determine the best opportunities where and how Data Science can deliver value; Drive innovation using cutting-edge technology; Mentor, develop and inspire a team of data scientists; Cultivate a strong culture of experimentation, delivery and impact

• Collaborate with cross functional teams to implement data science solutions; Ability to communicate complex data science concepts to product and engineering teams

Qualifications:

• 5-7 years in professional data science capacity with hands on experience building machine learning/NLP models

• 3+ years building and leading data science teams, with a proven track record for significant business impact

• Experience working with product, engineering, and data teams to deliver commercially viable and scalable machine learning models.

• Demonstrated experience solving business problems with AI/ML to incorporate predictive modeling, data mining, and exploratory data analysis

• Experience working with big data technologies and developing data science solutions in the cloud

• Experience in working in a lean/agile software development methodology as well as comfortable supporting longer term research and development for products and ideas being incubated.

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.

 

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Location

Our new Seattle campus in Interbay is on the beach with sweeping views of the Puget Sound and Cascades.

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