Data Scientist
Barcelona
Analytics /
Full-time /
Remote
Job Overview
As a Data Scientist, you’ll join our growing Analytics team to help execute the company's vision on the "science" side of our suite of solutions. We use data to identify business opportunities and increase revenue for our clients (ski resorts, amusement parks, waterparks, zoos, museums, family & adventure parks, etc.).
The primary role of the Analytics team is to create and manage dynamic pricing strategies for our clients. You will become an expert in Spotlio’s current pricing model and philosophy. As we seek to expand into new industries and modernize our pricing engine, you will play a critical role in evolving our strategy by leading market analyses. On the technical side, you will help develop a new technical implementation of our pricing model, one that is scalable, user-friendly, and reliable.
Additionally, the Analytics team owns all aspects of Spotlio’s data. You will build and analyze reports and data visualizations for both internal and external users. As needed, you will complete data engineering tasks such as data cleaning, ETL, and population of database tables. At times this may involve working with unique sales and revenue data from prospects or clients. You will be responsible for performing data analyses, including machine learning models when appropriate, and clearly and concisely communicating your findings to project stakeholders and team leads.
This position involves occasional direct communication with clients, which requires expert communication and active listening skills. The Analytics team is based in Python and utilizes other programming tools as needed to proactively enable any team in the company to become more efficient and reduce manual time spent on their tasks.
Successful candidates will be motivated by the unknown, eager to find better ways of assisting our clients, excited to be involved in the planning of our team’s future projects and goals, and able to be nimble and fast-moving rather than procedural and regimented.
Company Values
- Passion (V1): We want to be truly authentic in all that we do from the individual, to how we interact and how we work. This has the effect of a powerful, positive culture that helps create not only internal growth but projects our passion to our partners and the outside world.
- Performance (V2): Built with scalability in mind, making it easier to handle growing amounts of content and traffic, and deploy new experiences.
- Customer-centric(V3): Placing the customer at the center of everything you do is key for long-term success. This involves actively listening to customer feedback, understanding their needs and pain points, and continuously working to improve their experience with your product or service.
- Innovation (V4): Ambition is not just a buzzword for us: we aim to grow the right way. Innovating means changing the way we work - we may be nonconformist, but our products are trustworthy and reliable. We step outside the box to bring new features to our partners, which in turn helps skiers and attraction seekers do more of what they like.
Responsibilities and Duties
- Become an expert in Spotlio’s Pricing and Inventory Management solutions
- Create dynamic pricing strategies and monitor their performance over time
- Work to modernize our pricing model and test its efficacy with new industries
- Advise clients on the best practices for their pricing strategies
- Maintain and improve reports and dashboards for internal and external users
- Proactively analyze our data on ticket sales and dynamic pricing to extract actionable information, using machine learning when appropriate
- Design complex, scalable, and user-friendly Python tools
- Challenge our processes. Ideate, prototype, and evaluate enhancements to the existing solutions - we can always do better!
- Identify opportunities and obstacles, offer data-driven recommendations
Working conditions
- Minimum 100% availability as an employee of Spotlio Spain SL. Willingness to work outside office hours with notice.
Qualifications and requirements
- Strong fluency in Python, SQL, and Microsoft Excel
- Background in Data Science, Econometrics, Applied Math, Operations Research, Statistics, or Business Analysis
- Strong analytical and problem-solving mindset
- Excellent communication skills, particularly visual and verbal communication of dense and technical subjects
- Demonstrated experience with Data Analysis and Machine Learning
- Passion for facilitating data-driven decision-making across all parts of an organization
- Willingness and motivation to learn new tools and skills
- Ability to juggle multiple requests and deliver against tight timelines when necessary
Bonus Points For:
- Experience in team management and leadership skills will be highly valued.
- Experience with Looker or other Business Intelligence tools
- Previous work experience in e-commerce, travel, and/or hospitality, particularly with a focus on Revenue Management/Dynamic Pricing
- Comprehensive background in: mathematical modeling, stochastic processes, statistical data analysis, forecasting, optimization
- Experience with web analytics tools such as Google Analytics
- Experience reading/writing code in Excel VBA
- Experience building and maintaining data pipelines and data lakes
Lines of communication
- The Data Scientist reports to the Head of Analytics and will be responsible for communicating with multiple stakeholders across the business.
