About FareHarbor
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.
With over 20,000 clients across 90+ countries—we’re the largest in our industry and shaping the future of travel, together.
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.
FareHarbor Core Values:
Why FareHarbor?
Founding FareHarbor required unwavering passion. Turning a start-up into the world’s leading 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.
And since day one, we’ve known that our real success lies in our people—the Ohana.
With each new feature launched and new client onboarded, there is a team of incredible people behind the scenes who are full of dedication, passion, energy, and the will to succeed. We encourage everyone to bring their whole selves to work—to believe in their abilities, to freely express their creativity, and to contribute with their own uniqueness by wearing their true colors. We take care of one another and always prioritize health and wellbeing. We give our people the space and trust to learn, to try, to succeed, to collaborate, to think outside of the box, to make mistakes, and even to fail. And then we come together to try again.
From the minute you join, you have a voice. You find your space. You make an impact. We 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.
About the Role
Senior Data Scientist is the leader of data science in the global Business Intelligence team.
You will harness data science and advanced analytical tools and methods to drive actionable business decisions.
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.
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.
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.
What you’ll do here:
Requirements:
Benefits
FareHarbor is committed to creating a diverse environment, and we are an equal opportunity employer. We do not discriminate on the basis of race, color, religion, gender, gender identity, sexual orientation, national origin, disability, age, or veteran status. We welcome talent that can offer us new insights and perspectives on challenges that we face, and we take measures to eliminate unconscious bias throughout the interview and hiring process. In tandem, we work to cultivate an inclusive culture in which all of our employees can be their authentic selves.
To learn more about how we use your information, see our Privacy Statement for Applicants. By submitting your application, you confirm that you understand and agree that your information will be processed in accordance with our Privacy Statement for Applicants.
Any offer of work (e.g. employment, assignment) will be subjected to the successful completion of pre-employment screening.