Data Scientist II

Data Scientist II

The online travel market is a $2 trillion industry that never stands still. Expedia Global Payments team (EGP) provides and operates platform solutions that enable payment processing between Expedia and its network of travelers and partners. This includes payment methods that Expedia brands offer to travelers around the world and the payment options that Expedia uses to support effective relationships with partners and suppliers. We process billions of dollars in traveler and partner transactions every month.

In this role you will be a part of the Payments Business Intelligence team and play a significant role in advancing Expedia’s analytics capabilities. As an important part of the Product Analytics and Experimentation division, the Payments Business Intelligence team is responsible for building and maintaining the EGP data platform as well as delivering analytic insights, reports and self-service tools to global stakeholders.

Your mission will be to deliver quantitative analysis, decision support and reporting artifacts on a broad range of topics within the EGP domain. This requires the ability to identify the appropriate data sources, assess their usefulness, consolidate the required attributes, and derive meaningful information and insights. The focus goes beyond creating reports and pulling data – it is to tackle complex business problems, build compelling data-driven stories and become a trusted business advisor to a variety of cross functional BI consumers.

As a Data Scientist II within Product Analytics, you will work with diverse teams of subject matter experts, product managers, engineers, and others across multiple organizations to deliver data science solutions and recommendations. You will utilize ML, advanced analytical, and statistical techniques to create insights which will be used to provide recommendations, understand drivers, prove or disprove hypotheses, and help drive initiatives for business impact

What You Will Do:

• Synthesize business scenarios into meaningful actionable analytics and reporting deliverables

• Use your technical skills and knowledge to identify, collect, and evaluate data required for analyses

• Apply solid coding skills, strong analytical and innovative thinking, and data science expertise to quickly learn new domains and turn innovative ideas into working solutions

• Manipulate large data sets for business insights and drive solutions

• Utilize appropriate methods and approaches to develop practical solutions for the business

• Structure work, frame issues, and produce analyses that answer complex business questions in a pragmatic approach

• Communicate complex analytical topics in a clean & simple way to multiple partners and senior leadership

• Become a trusted advisor to key BI stakeholders to partner on solving complex business challenges and provide relevant data-driven insights

Who You Are:

• 2+ years experience and Bachelor's or Master's in Mathematics or Scientific degree; or equivalent related professional experience in a comparable data analytics role with relevant experience.

• 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 algorithms; strong data science knowledge and skills

• Industry experiences on leveraging Statistics and Data Science on real-world large data sets

• Strong knowledge and experience in database technologies, including SQL, Hadoop, Teradata, AWS / Qubole

• Knowledge of hands-on practice in Python or R

• Hand-on experience visualizing data for impact in Tableau, Looker, or similar

• Proven knowledge of ML techniques such as Operations Research, Bayesian methods, clustering, decision trees, random forests, NLP, etc., excellent grasp of statistical concepts and methods

• Strong passions for solving problems and finding patterns and insights within structured and unstructured data

• Are team oriented with a collaborative approach and attitude

• Excellent written and oral communication skills; outstanding presentation and PowerPoint skills

• Familiarity with Analytic tools and solutions in the cloud (AWS, Azure) is preferred

• Background in payment technology and processes with an understanding of payment data analysis is strongly preferred

The total cash range for this position in Austin 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.

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. 

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.