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Manager, Data Science

Priceline Group

This is a Full-time position in Sydney, NS posted January 10, 2022.

This role is eligible for our hybrid work model: 2 days in-office & 3 days remote.

Manager, Data Science We’re a data-driven organization, which makes our Analytics and Data Science teams the brains of our operation.

On the cutting edge of customer and business analytics, they make sure all our decisions and innovations are based on the latest insights.

Why this job’s a big deal: Priceline is looking for a Data Science Manager to be a key member of our Hotel and Flight Analytics Team, interacting with Priceline’s Pricing, Hotels, Flights, Marketing, Data, Product, Technology and other related business teams.

Specifically, the person in this role will help work hands-on while building a team to design and develop advanced statistical, analytics, statistical, econometrics, and machine learning models to drive business value while striving to serve the company’s mission to be the best travel deal maker in the world.

In this role, you will get to: Collaborate closely with our flight and hotel business partners Leverage data analyses, modeling, and visualization tools such as R and/or Python, Oracle SQL, BigQuery, MySQL, Tableau, and others Build models to evaluate sales performance, supply health, and other cross-functional use-cases Build and lead a team of data scientists Provide insights into the flight and hotel business, monitor performance by defining and refining critical KPIs Present the technical aspects of the role to a non-technical audiences Devise tests, experiments, and monitoring to validate model performance.

Partner with internal stakeholders to communicate insights, influence decision making, and improve business performance based on insights generated Partner and collaborate with other business units/peer companies to gather and report data, and influence decision making Participate in cloud migration and modernizing current data systems Partner with Data Engineers to build and maintain data infrastructure Conduct analysis on strategic projects and provide actionable recommendations Answer tough questions with data Who you are: 6 years of data science and/or analytics experience building quantitative and/or machine learning models.

Travel / flight / ecommerce industry experience preferred Bachelor’s Degree or higher from top university in a quantitative subject (e.g., science or math).

Experience in Python and/or R along with their associated ML/AI Libraries.

BigQuery/GCP, Tableau, and Excel experience are nice to have.

Excellent written and verbal communication; proficient in presentation writing tools (e.g., Power Point, Slides) Have experience in developing frameworks and performing gap analysis Project management and work structure skills – excellent attention to detail and ability to work independently Ability to break larger projects into appropriately sized tasks for team members Hands-on, extensive knowledge and experience working with large databases, data mining and business intelligence tools Strong analytical and problem-solving skills Ability to communicate complex concepts in a simple way to senior leadership is a must Ability to work under pressure and multi-task in a fast-paced/rapidly changing environment Comfortable with ambiguity Passion for travel and business