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hace 4 meses
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 AIpowered travel platform for corporate travel. Their platform uses machine learning algorithms to recommend personalized travel options based on a travelers preferences company policies and budget. WhereTos technology also allows for realtime 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 datadriven 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.
Key Responsibilities Collaborate with crossfunctional teams to identify and define key business problems that can be addressed using datadriven 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 realtime data streams to uncover patterns trends and anomalies that inform decisionmaking 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 endtoend 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 uptodate with the latest advancements in data science machine learning and travel technology to propose innovative solutions that maintain our competitive edge. Experience & Qualifications Bachelors 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 datadriven 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 problemsolving skills and the ability to work independently and collaboratively in a fastpaced 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. Benefits As well as being a fun company to work :
Our fantastic offices are located in the heart of Barcelona at Plaa 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 workingtime 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
