Senior Data Scientist

<p><strong>About FareHarbor</strong></p> <p>At FareHarbor, our mission is to make experiences better for everyone. Founded in 2013 in Hawaii and acquired by Booking Holdings in 2018, FareHarbor creates powerful tools that enable our clients (think boat rentals, museums, food tours, events and more!) to operate and grow.</p> <p>With over 20,000 clients across 90+ countries—we’re the largest in our industry and shaping the future of travel, together.</p> <p>Our team is an ‘Ohana of 700+ people around the world. We’re passionate about pioneering an industry, embracing challenges with open arms, and delivering value to the experiences industry.</p> <p><strong>FareHarbor Core Values:</strong></p> <ul> <li>Think Client First</li> <li>We Are One ‘Ohana</li> <li>Be Curious and Learn</li> <li>Own It.</li> <li>Act With Integrity</li> <li>Embrace the Challenge</li> </ul> <p><strong>Why FareHarbor?</strong></p> <p><span>Founding FareHarbor required unwavering passion. Turning a start-up into the world’s leading </span><span>and largest reservation software for tours, activities, and attractions required relentless dedication and vision. To date, we’ve helped over 20,000 global businesses operate successfully and are proud to have played a role in enabling business owners to live their dreams.</span></p> <p><span>And since day one, we’ve known that our real success lies in our people—the Ohana.</span></p> <p><span>With each new feature launched and new client onboarded, there is a team of incredible people </span><span>behind the scenes who are full of dedication, passion, energy, and the will to succeed. We </span><span>encourage everyone to bring their whole selves to  work—to  believe in their abilities, to freely </span><span>express their creativity, and to contribute with their own uniqueness by wearing their true </span><span>colors. We take care of one another and always prioritize health and wellbeing. We give our </span><span>people the space and trust to learn, to try, to succeed, to collaborate, to think outside of the </span><span>box, to make mistakes, and even to fail. And then we come together to try again.</span></p> <p><span>From the minute you join, you have a voice. You find your space. You make an impact. We </span><span>celebrate our victories, shout our successes, and are always eager to tackle new challenges. And we can’t wait to see all that’s to come.</span></p> <p><strong>About the Role</strong></p> <p>Senior Data Scientist is the leader of data science in the global Business Intelligence team.</p> <p>You will harness data science and advanced analytical tools and methods to drive actionable business decisions.</p> <p>The Senior Data Scientist role is designed to help our commercial and product initiatives with science, equipping key stakeholders with actionable quantitative insights. In this role, you will focus on creating and maintaining models and processes that drive sales, accelerate client revenue growth, improve retention, and increase our product feature adoption.</p> <p>This role provides an excellent opportunity for a hands-on individual contributor who is aspired to design, scope and deliver actionable data science projects end-to-end. This role will report into the Director of Business Intelligence.</p> <p>To be successful in this role you are required to have strong data science skills, and a consistent record in leading advanced data science projects, preferably in a B2B software environment, and excellent storytelling skills with data. You are also expected to integrate business understanding, data handling, programming, statistical modeling, and data visualization to generate actionable insights from large datasets.</p> <p><strong>What you’ll do here:</strong></p> <ul> <li>Drive data science projects from conceptualization, implementation, and delivery, closely working with commercial, finance, business operations and product teams to ensure measurable impact.</li> <li>Build and maintain predictive models that improve sales efficiency, accelerate client revenue growth, forecast churn, and increase our product feature adoption by applying relevant statistical data analysis and modeling methods.</li> <li>Design and interpret quantitative experiments to evaluate product features and changes, measure their impact on user behavior and business, and advise future optimization.</li> <li>Develop, deploy, and maintain machine learning models in production environments to ensure scalability, reliability to drive revenue growth and reduce churn.</li> <li>Collaborate with the data engineering team to shape the development of data infrastructure, streamlining advanced analytics across the company.</li> <li>Present analytical findings to senior management, offering strategic recommendations that enhance sales efficiency and product improvements.</li> <li>Help drive data science excellence by keeping data and systems current with the latest tech advancements.</li> <li>Mentor and coach junior