Revenue Science Lead
Company
Indie Campers
Location
Other US Location
Type
Full Time
Job Description
ABOUT US
Indie Campers, the go-to campervan Marketplace, is on a mission of making road trips available to everyone. Thanks to its digital approach and customer-centric orientation, Indie Campers has developed a strong booking experience and high-quality road trips at affordable prices.
With over one million nights rented through our travel platform, we have welcomed more than 300,000 travellers from 169 countries. We offer a comprehensive and expanding array of road trip possibilities: short-term RV rentals, long-term campervan subscriptions, and the possibility of buying one of our vehicles available for sale.
Rooted in a deep technological focus, our challenges are both exciting and demanding and require top talent and motivation to be successfully pursued. We are growing our team and looking for those interested in pursuing this dream with us and joining an ever-developing journey.
THE ROLE
We are looking for a talented and motivated Revenue Science Lead to drive a fundamental shift to machine learning in Revenue Management at Indie Campers. You will be managing a team of data scientists and deploying advanced models to solve complex problems, delivering direct and tangible value to our travellers.
At Indie we have a multitude of interesting opportunities to solve with scalable products and algorithmic solutions, more specifically you will be exposed to our dynamic Pricing, Stock relocation, Predictive modelling, Causal Inference and Experimentation efforts.
If you're a science minded problem solver who is hungry for a new adventure, an international workplace is waiting for you in sunny Lisbon!
Your Mission
- Lead a team of high-performing data scientists, foster a culture of excellence, and stay at the forefront of ML and Applied science practices in Revenue Management
- Act as a leader but also be an individual contributor in deploying algorithmic solutions to solve our most important business problem in our key growth area.
- Collaborate with stakeholders such as product and engineering across the organisation to integrate and implement the machine learning solutions.
- Foster a collaborative and open environment within the team to ensure ideas can be shared and heard.
Your Mastery
- Proven experience as a leader and researcher in data and product heavy organisations
- Strong track record of leading applied science and product development cycles. In-depth knowledge of ML, Causality, Bayesian inference and Predictive Modelling.
- 5+ years of experience in data science or research with leadership capabilities
- Expertise with the Python data toolkit including Tensorflow, TFX, Pandas, CatBoost, DBT as well as MLOps practices
- Excellent leadership, communication, and stakeholder management skills.
- Experience in scaling technology teams fast and with high quality.
- Master's degree or PHD in Computer Science, Mathematics, Economics or a related quantitative fields
This is a hybrid role in our Lisbon HQ.
Are you ready to Go Indie?
Date Posted
08/23/2024
Views
3
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