WhereTo is a business travel startup from San Francisco that evolved into an agile development and design studio within the Flight Centre Travel Group. We build travel solutions used by some of the largest companies on the planet - we have just one goal: making business travel better for everybody.
WhereTo provides an AI-powered travel platform for corporate travel. Their platform uses machine learning algorithms to recommend personalized travel options based on a traveler's preferences, company policies, and budget. WhereTo's technology also allows for real-time travel tracking, reporting, and cost analysis, enabling companies to optimize their travel programs and reduce costs.
To learn more about WhereTo click HERE
About The Opportunity
Are you a seasoned Data Engineer with a passion for travel and a track record of leveraging data-driven insights to enhance customer experiences and drive business growth? Join our fast paced environment at WhereTo as a Level III Data Engineer and play a pivotal role in shaping the future of travel through data analysis and innovation.
- Collaborate with cross-functional teams to identify and define key business problems that can be addressed using data-driven solutions
Design and implement advanced analytical models and algorithms to extract meaningful insights from large, complex datasets related to customer behavior, travel trends, and operational efficiency.
- Develop predictive and prescriptive models to optimize pricing strategies, customer segmentation, recommendation systems, and other critical aspects of the travel experience.
Analyze historical data and real-time data streams to uncover patterns, trends, and anomalies that inform decision-making and contribute to a deeper understanding of our customers.
Work closely with software engineers and developers to integrate data pipelines, ensuring seamless data collection, storage, and processing using technologies such as Node.js.
- Lead the end-to-end process of data analysis, from data collection and preprocessing to model development, validation, and deployment.
- Communicate findings and insights effectively to both technical and nontechnical stakeholders through data visualizations, reports, and presentations.
- Stay up-to-date with the latest advancements in data science, machine learning, and travel technology to propose innovative solutions that maintain our competitive edge.
Experience & Qualifications
- Bachelor's degree or higher in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics) or related experience.
Minimum of 4 years of experience as a Data Engineer, Data Scientist, or in a similar role, with a proven track record of delivering impactful data-driven solutions
- Strong communication skills required
Strong proficiency in programming languages such as Python (required) and Node.js (preferred) for data manipulation, analysis, and model development.
Experience with machine learning techniques, statistical analysis, data mining, and data visualization.
- Proficiency in working with neural networks and deep learning frameworks (e.g., PyTorch, TensorFlow) to develop and deploy advanced machine learning models
Familiarity with travel industry data (e.g., booking data, customer profiles, location data) is a plus.
Expertise in working with databases such as PostgreSQL and Druid, data warehouses, and data processing frameworks.
- Excellent problem-solving skills and the ability to work independently and collaboratively in a fast-paced environment.
- Strong communication skills to convey complex technical concepts to various audiences
Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Hadoop, Spark) is a plus.
- Publications, patents, or contributions to the data science community are a strong advantage.
- Understanding of Large Language Models (LLM) architecture and prompting techniques is a bonus.
As well as being a fun company to work :
Our fantastic offices are located in the heart of Barcelona, at Plaça Catalunya
- The opportunity to join our free language lessons (English, French, Spanish or Catalan)
- An attractive package: health insurance
- 25 days off/year + 5 compensation days + reduced time during summer + bank holidays
- Flexible working-time
- Table tennis on the terrace, a kitchen area with free snacks, fresh fruits and drinks
The opportunity to work with an international and talented team
Several activities organised by the ambassadors!
We truly think your personality is important, so bring it on!