Expedia Group
Data Scientist III - Product Analytics
Expedia Group, Austin, Texas, us, 78716
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Data Scientist IIIWe are looking for an experienced Data Scientist to join the team that is working on Search and Ranking products in Lodging and Flights.As a Data Scientist, you will help Search and Ranking improve. You will collaborate with a multi-disciplinary team on a wide range of problems. You will bring scientific rigor and statistical methods to the challenges of business growth and product development.
What You'll Do
Comprehend probability, frequentist vs Bayesian statistics, and how to apply to business problems (e.g., AB testing, log regression output). Understanding differences between statistically significant test readout vs exploratory analysis.Apply and comprehend statistical concepts like regression, ANOVA, AB testing etc., and understand the difference between a statistically significant test readout vs exploratory analysis.Display the ability to define and build the data appropriately (e.g., linear and non-linear regression as well as using other modeling techniques such as clustering, logistic regression etc.). Correctly interpreting the output and iterates and improves the model.Possess intermediate understanding of common data models, underlying assumptions, types of business questions they can best answer, and what data sources would best support the model (i.e., linear and logistic regression).Show initiative to learn new model approaches and techniques and apply those learnings to current projects.Understand advanced business domain and use this knowledge to refine the question at the heart of the model project, drive model design decisions (i.e., model selection, feature engineering), and provide recommendations (model improvements, business changes, AB tests, further analysis etc.).Demonstrate an understanding of technical information to understand and synthesize different data sources and create basic data pipelines and workflows to support the model. Consider legal implications and seek out clarification and solutions if applicable.Value process and create shareable code and documentation to share with the wider team on tools like GitHub, IEX, Confluence.Create clear visualizations that support the data story and deepen the audience's understanding.Provide constructive feedback to help up-skill teammates in this area.Build trust and work collaboratively and transparently with stakeholders. Seek out analytics teammates for peer reviews, brainstorming, and other upskilling and improve their own skills by doing the same for both junior and senior teammates.Ability to tell a story in a clear and concise way and present insights rather than just data. Seek feedback from manager/peers/stakeholder partners early on and demonstrate the ability to action the feedback on current and future projects.Display advanced domain (i.e., travel, online retail) knowledge, business acumen (understanding the underlying business objectives), and critical reasoning skills.Possess strong knowledge and understanding of the organization's processes, objectives, and challenges and their impact on the business, and is not easily deterred if there are barriers in sharing the results/effecting change.Work with big data and understand potential challenges and solutions and ability to explain this to both technical and non-technical partners with minimal guidance from manager/senior peers.Can write new/understand existing advanced SQL such as creating views and tables, use of partitions, advanced SQL functions (e.g., RANK() Over, PARTITION BY), and is familiar with different flavors of SQL (e.g., Presto/Hive/PostgreSQL), querying tools (e.g., Qubole/BigQuery/Hadoop), and concepts such as Stored Procedures, Cursors, and Temp tables.Possess intermediate level knowledge of the most important data sources to their work area and the wider business. Know how to find information about new data sources when required and which support channels to go to in order to unblock data issues when they arise and follows through to resolution. Share information about data issues and share knowledge about data sources with teammates.Demonstrate knowledge and use of best practices for data quality checks, query cost/performance optimization and proactively up-skill in these areas. Use this knowledge to bring together data from different sources as required.Work with stakeholders and analytics peers to identify the right objective and propose solutions appropriate for the task and timeframe. Demonstrate iterative thinking and ability to identify next steps based on findings.Influence action and results, through clear writing, in an accessible way for a wide audience. Structure presentations around a clear narrative and be concise in what's included. Present clearly and engagingly and anticipate questions.Communicate regularly with stakeholders, addressing problems as they arise and suggesting and agreeing on solutions and meeting key deadlines. Value transparency.Have a proactive approach to resolving problems, identifying opportunities, prompting collaboration with other team members and becoming recognizably more self-sufficient.Identify and proactively reach out to relevant domain experts and stakeholders across different parts of the business in order to deliver maximum impact in the design, execution, socializing, and use of the model.Who You Are
A high performing individual contributor who consistently applies - and sometimes enhances - the analytics capabilities, principles and playbooks to solve complex business issues and opportunities.PhD, Masters or Bachelors (preferred for Mathematics or Scientific degree) with 2-4 years work experience OR 4+ years of experience in a comparable data analytics role with relevant experience.Demonstrable experience of delivering data-driven insights and recommendations that drove change or performance improvement for stakeholders through multiple projects using different analytics techniques.Demonstrable advanced level experience of using R, Python or SQL for data analysis, structuring, transforming and visualizing big data.Experience delivering analytics projects to different business areas and displaying strong business acumen.Critical thinking and showing an inquisitive mind to problem-solving with the ability to communicate and influence.Data visualization skills for communicating results to stakeholders of different technical levels.Experienced with basic machine learning concepts/approaches SQL, Python, R or similar.The total cash range for this position in Seattle is $137,500.00 to $192,500.00. Employees in this role have the potential to increase their pay up to $220,000.00, 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, 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: 2029030-50Employment 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.
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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.
Data Scientist IIIWe are looking for an experienced Data Scientist to join the team that is working on Search and Ranking products in Lodging and Flights.As a Data Scientist, you will help Search and Ranking improve. You will collaborate with a multi-disciplinary team on a wide range of problems. You will bring scientific rigor and statistical methods to the challenges of business growth and product development.
What You'll Do
Comprehend probability, frequentist vs Bayesian statistics, and how to apply to business problems (e.g., AB testing, log regression output). Understanding differences between statistically significant test readout vs exploratory analysis.Apply and comprehend statistical concepts like regression, ANOVA, AB testing etc., and understand the difference between a statistically significant test readout vs exploratory analysis.Display the ability to define and build the data appropriately (e.g., linear and non-linear regression as well as using other modeling techniques such as clustering, logistic regression etc.). Correctly interpreting the output and iterates and improves the model.Possess intermediate understanding of common data models, underlying assumptions, types of business questions they can best answer, and what data sources would best support the model (i.e., linear and logistic regression).Show initiative to learn new model approaches and techniques and apply those learnings to current projects.Understand advanced business domain and use this knowledge to refine the question at the heart of the model project, drive model design decisions (i.e., model selection, feature engineering), and provide recommendations (model improvements, business changes, AB tests, further analysis etc.).Demonstrate an understanding of technical information to understand and synthesize different data sources and create basic data pipelines and workflows to support the model. Consider legal implications and seek out clarification and solutions if applicable.Value process and create shareable code and documentation to share with the wider team on tools like GitHub, IEX, Confluence.Create clear visualizations that support the data story and deepen the audience's understanding.Provide constructive feedback to help up-skill teammates in this area.Build trust and work collaboratively and transparently with stakeholders. Seek out analytics teammates for peer reviews, brainstorming, and other upskilling and improve their own skills by doing the same for both junior and senior teammates.Ability to tell a story in a clear and concise way and present insights rather than just data. Seek feedback from manager/peers/stakeholder partners early on and demonstrate the ability to action the feedback on current and future projects.Display advanced domain (i.e., travel, online retail) knowledge, business acumen (understanding the underlying business objectives), and critical reasoning skills.Possess strong knowledge and understanding of the organization's processes, objectives, and challenges and their impact on the business, and is not easily deterred if there are barriers in sharing the results/effecting change.Work with big data and understand potential challenges and solutions and ability to explain this to both technical and non-technical partners with minimal guidance from manager/senior peers.Can write new/understand existing advanced SQL such as creating views and tables, use of partitions, advanced SQL functions (e.g., RANK() Over, PARTITION BY), and is familiar with different flavors of SQL (e.g., Presto/Hive/PostgreSQL), querying tools (e.g., Qubole/BigQuery/Hadoop), and concepts such as Stored Procedures, Cursors, and Temp tables.Possess intermediate level knowledge of the most important data sources to their work area and the wider business. Know how to find information about new data sources when required and which support channels to go to in order to unblock data issues when they arise and follows through to resolution. Share information about data issues and share knowledge about data sources with teammates.Demonstrate knowledge and use of best practices for data quality checks, query cost/performance optimization and proactively up-skill in these areas. Use this knowledge to bring together data from different sources as required.Work with stakeholders and analytics peers to identify the right objective and propose solutions appropriate for the task and timeframe. Demonstrate iterative thinking and ability to identify next steps based on findings.Influence action and results, through clear writing, in an accessible way for a wide audience. Structure presentations around a clear narrative and be concise in what's included. Present clearly and engagingly and anticipate questions.Communicate regularly with stakeholders, addressing problems as they arise and suggesting and agreeing on solutions and meeting key deadlines. Value transparency.Have a proactive approach to resolving problems, identifying opportunities, prompting collaboration with other team members and becoming recognizably more self-sufficient.Identify and proactively reach out to relevant domain experts and stakeholders across different parts of the business in order to deliver maximum impact in the design, execution, socializing, and use of the model.Who You Are
A high performing individual contributor who consistently applies - and sometimes enhances - the analytics capabilities, principles and playbooks to solve complex business issues and opportunities.PhD, Masters or Bachelors (preferred for Mathematics or Scientific degree) with 2-4 years work experience OR 4+ years of experience in a comparable data analytics role with relevant experience.Demonstrable experience of delivering data-driven insights and recommendations that drove change or performance improvement for stakeholders through multiple projects using different analytics techniques.Demonstrable advanced level experience of using R, Python or SQL for data analysis, structuring, transforming and visualizing big data.Experience delivering analytics projects to different business areas and displaying strong business acumen.Critical thinking and showing an inquisitive mind to problem-solving with the ability to communicate and influence.Data visualization skills for communicating results to stakeholders of different technical levels.Experienced with basic machine learning concepts/approaches SQL, Python, R or similar.The total cash range for this position in Seattle is $137,500.00 to $192,500.00. Employees in this role have the potential to increase their pay up to $220,000.00, 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, 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: 2029030-50Employment 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.
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