Restaurants is a rapidly growing startup within TripAdvisor. With 4+ million listed places to eat worldwide and 450+ million unique monthly visitors, we help travellers and locals discover great restaurants and help restaurant owners market to those future diners. We are looking for a hands-on leader for our newly forming Data Team in Needham, MA. This team of five (data engineers, data analysts, data scientist) will be responsible for business intelligence, data science and product-facing data engineering.
What You Will Do
Lead engineering projects for data-driven product features and services.
Establish and maintain world-class business intelligence and analytics capabilities.
Coach and advocate for analytics best practices and data-savviness across all functions of the business.
Leverage data science and analytics to inform and advise executive leadership in operations and strategic decision making.
What You Will Bring To the Team
You have a BS or MS in Computer Science or equivalent.
You are experienced, both as a Software Engineer (10+ years) and as a manager of engineers (4+ years).
You have experience building data-driven products or services that heavily employ Big Data technology, modern analytics and productionized machine learning.
You have experience in fostering a data-driven culture through identifying KPIs, establishing instrumentation for analytics, effective data pipelines, building dashboards and achieving team buy-in to using these techniques.
You have broad working knowledge of back-end software development and data engineering: RESTful APIs, event-based / streaming architectures, traditional and NoSQL databases, data warehouses and ETL. TripAdvisor Restaurants uses Java, PostgreSQL, Kafka, Hadoop, Hive and Snowflake.
You are familiar with one or more popular BI tools such as Tableau.
You will show leadership and can be an effective mentor by being hands-on: you are still comfortable writing code that ships.
You have consistently exceeded expectations throughout your career, and you can describe specific activities and projects that demonstrate this behavior
You can manage a team towards long-term goals while delivering new capabilities daily
You have the ability to work with everyone from engineers to product owners to C-level executives to help communicate, prioritize, influence and inform key business and product decisions
Startup experience: we value people who have worked and can thrive in a startup environment.
Data Science experience: if you have hands-on experience with machine learning / statistical modelling, or have managed Data Scientists in the pursuit of building real-world products - this will be a great advantage.