Apply now Refer a friend Job no: 524201
Brand: WhereTo
Work type: Full time, Remote
Location: Barcelona
Categories: Information & Technology
WhereTo is a business travel startup from San Francisco that evolved into an agile development and design studio within the Flight Centre family. 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. Our platform uses machine learning algorithms to recommend personalized travel options based on a traveler's preferences, company policies, and budget. Our technology also allows for real-time travel tracking, reporting, and cost analysis, enabling companies to optimize their travel programs and reduce costs.
About The Opportunity... As a Data Scientist, you'll play a pivotal role in applying advanced analytical techniques and machine learning models to uncover trends and opportunities that inform strategic priorities across the company. In addition, you'll contribute to the design and ownership of our overall data strategy, ensuring data is used to its fullest potential to drive key decisions and long-term growth. If you're passionate about transforming raw data into actionable insights and thrive in a collaborative environment, we invite you to be part of our journey in shaping the future of travel technology.
Key Responsibilities... Develop and implement statistical models, machine learning algorithms, and other advanced analytics to identify trends, predict outcomes, and uncover business opportunities.Play a key role in designing, owning, and implementing our data strategy as part of the data team, ensuring that data is effectively leveraged across the company to inform prioritization and strategic initiatives.Analyze large datasets from various sources, uncover patterns, and deliver actionable insights that inform product decisions and business strategies.Partner with Product, Engineering, and Data Analysts to translate complex data findings into strategic recommendations that help prioritize product development and operational improvements.Proactively develop insights and models to forecast trends, improve operational efficiency, and influence strategic direction.Communicate findings through clear visualizations, reports, and presentations tailored to both technical and non-technical stakeholders.Experience & Qualifications... 3+ years of experience in data science, with a focus on applying machine learning, predictive modeling, and statistical analysis to real-world problems.Proven experience designing and conducting A/B testing and experiments to optimize product features and validate business decisions.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.Experience working with both structured and unstructured data to inform analytical models and business insights.Experience with data processing tools (e.g., Apache Spark) and working in large-scale data environments (e.g., data lakes, warehouses).Proven ability to identify business challenges and apply data-driven solutions to address them.Ability to translate complex data analysis into actionable insights for non-technical stakeholders and collaborate with cross-functional teams.Experience in the travel or technology sector, applying data science to product or operational improvements.Familiarity with travel industry data (e.g., booking data, customer profiles, location data) is a plus.Familiarity with Microsoft Fabric.Who we are... As part of Flight Centre Travel Group, our is to open up the world for those who want to see. We encourage you to DREAM BIG through collaboration and innovation, and make sure you are supported to make incredible ideas a reality. Together, we deliver quality, innovative solutions that delight our customers and achieve our strategic priorities.
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