# Data Scientist II (Mid level) at FareHarbor

> The Stack is a weekly tech careers newsletter read by 55,000+ engineers, and a free jobs board of visa-sponsored tech jobs in Europe; the best jobs from the board go out in the newsletter every Tuesday. This is one job from the board.

> About FareHarbor At FareHarbor, our mission is to make expe

- **Company:** FareHarbor (https://jobs.trythestack.co/companies/fareharbor)
- **Location:** Amsterdam, Netherlands
- **Employment type:** Full-time
- **Experience level:** 2–5 years
- **Visa sponsorship:** Not stated
- **Key skills:** Statistical Analysis, Predictive Modeling, Data Storytelling, SQL, Python, Data Management, Collaboration, Machine Learning, Visualization Tools, Problem-Solving, Agile Mindset, B2B Software, Data Pipelines, Feature Preparation, Quantitative Experiments, Data Cleaning
- **Posted by employer:** 2026-03-06
- **Added to The Stack:** 2026-03-30
- **Status:** May no longer be active (posted more than 60 days ago)
- **Apply:** https://fareharbor.com/careers/jobs/?gh_jid=8391374002 (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/data-scientist-ii-mid-level-fareharbor

## About the role

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: * Think Client First * We Are One ‘Ohana * Be Curious and Learn * Own It. * Act With Integrity * Embrace the Challenge 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 The Data Scientist Level 2 is an individual contributor within the Global Business Intelligence team, responsible for delivering data science solutions that support commercial, product, and revenue operations initiatives, from problem framing and analysis to implementation within defined scopes.   In this role, you apply statistical analysis and modeling to solve defined business problems, develop analytical and predictive models, and translate results into actionable insights. You work closely with BI analysts to operationalize model outputs into regular reporting that enables consistent, data-driven decision-making that support sales efficiency, revenue growth, retention, and product feature adoption. You collaborate with BI analysts, data engineers, product managers, commercial and revenue operations stakeholders, and are expected to communicate insights clearly to both technical and non-technical audiences. This is a hands-on role supported by guidance and review from a Senior Data Scientist.  To be successful in this role, you bring strong foundations in statistical analysis and modeling, experience applying data science in a business context (preferably B2B software or tech), and the ability to communicate insights clearly through data storytelling. Responsibilities * Design and deliver data science solutions based on business requirements from the initial idea-generation phase to implementation with limited supervision. * Develop, validate, and maintain descriptive, diagnostic, and predictive models to support revenue growth, retention, and product adoption, and partner with BI analysts to operationalize insights into management reporting. * Partner with commercial, product, and revenue operations stakeholders to support decision‑making by applying relevant statistical data analysis and modeling methods.  * Work independently on data consumption, cleaning, and feature preparation using established data pipelines and tooling.  * Collaborate with data engineering on data availability, quality, and modeling needs within the scope of assigned projects.  * Support the design and interpretation of quantitative experiments to evaluate the business impact of product features and commercial initiatives, and recommend improvements. * Present analytical findings and recommendations that enhance sales efficiency and product improvements. * Contribute to data science best practices by staying current with relevant tools and techniques, and actively participate in knowledge sharing within the BI team.  * Ensure analytical outputs are reproducible, well-documented, and validated through peer review. Requirements * 3–5 years of direct professional experience in a Data Scientist role, specifically focused on modeling and advanced analytics, preferably in a B2B software or tech environment.  * Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related quantitative field. * Strong background in statistical analysis and predictive modeling; experience with experimentation is a plus. * Solid understanding of core statistical methods and working experience with common machine learning techniques (e.g., decision trees, random forests, clustering, time series). * Proficiency in SQL and Python.  * Working knowledge of data management concepts (data pipelines, workflows, data modeling). * Experience collaborating with sales, product, and engineering teams in cross-functional environments is a plus. * Strong storytelling skills with data for technical and non-technical audiences; ability to distill insights to what matters most. * Experience with visualization tools (e.g., Tableau, Looker, Power BI, Plotly). * Exposure to CRM and commercial datasets (e.g., Salesforce, HubSpot) is a plus. * Agile mindset, bias for action, and focus on delivering measurable business outcomes. * Strong problem-solving skills with a track record of driving clarity in complex situations, specifically when navigating shifting priorities across cross-functional teams. This will be a hybrid role with in-office expectations.  This position is open to candidates located in Europe who are willing to relocate to the Netherlands. Benefits  * Global leave benefit  * 22 weeks paid parental leave  * 2 weeks paid grandparent leave  * Extended care and bereavement leave * Life insurance policy  * Pension Plan * Central Amsterdam Location * Discount CZ insurance * Working in a multicultural environment - 45 different nationalities  * Commuting allowance for public transport & subsidized lunch * Wellness benefits (Headspace subscription & wellness webinars)  * Hybrid friendly * Work-from-home assistance * Educational Opportunities * Social hours & events and team-building  * 26 vacation days per year 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 [https://fareharbor.com/legal/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 [https://fareharbor.com/legal/privacy-statement-for-applicants/]. Any offer of work (e.g. employment, assignment) will be subjected to the successful completion of pre-employment screening.

## Responsibilities

The Data Scientist II is responsible for delivering data science solutions that support various business initiatives, from problem framing to implementation. This role involves applying statistical analysis and modeling to solve business problems and translating results into actionable insights.

## Requirements

Candidates should have 3-5 years of experience in a Data Scientist role with a strong foundation in statistical analysis and predictive modeling. A Bachelor's or Master's degree in a quantitative field is required, along with proficiency in SQL and Python.

## FAQ

- **Is this Data Scientist II (Mid level) role still open?** It was posted on 2026-03-06. Listings more than 30 days old may no longer be active, so check FareHarbor's site before applying.
- **Where is this role located?** The listing gives the location as Amsterdam, Netherlands.
- **What skills does this role ask for?** The listing names: Statistical Analysis, Predictive Modeling, Data Storytelling, SQL, Python, Data Management, Collaboration, Machine Learning, Visualization Tools, Problem-Solving, Agile Mindset, B2B Software, Data Pipelines, Feature Preparation, Quantitative Experiments, Data Cleaning.

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