Data Scientist, Pricing

Location: Amsterdam

*** Mention DataYoshi when applying ***

About us

Beat is one of the most exciting companies to ever come out of the ride-hailing space. One city at a time, all across the globe we make transportation affordable, convenient, and safe for everyone. We also help hundreds of thousands of people earn extra income as drivers.

Today we are the fastest-growing ride-hailing service in Latin America. But serving millions of rides every day pales in comparison to what lies ahead. Our plans for expansion are limitless. Our stellar engineering team operates across a number of European capitals where, right now, some of the world's most ambitious and talented engineers are changing how cities will move in the future.

Beat is currently available in Greece, Peru, Chile, Colombia, Mexico and Argentina.

About the role

We're accepting these challenges by applying data, algorithms and machine learning to problems in logistics, routes, personalization, search, pricing, experimentation and more. Our Data Science team is at the heart of this effort and is an essential ingredient in Beat's aggressive growth plan and vision for the future.

As a Data Scientist in Pricing, you will take on some of our biggest marketplace challenges such as optimising dynamic pricing models, modelling demand, understanding price elasticity, or evaluating the impact of price changes. Your work will impact the entire marketplace, so you'll have the opportunity to make an immediate difference. Your day-to-day will involve close collaboration with stakeholders across product, operations, machine learning, data engineering, and technology.

What you'll do day in day out:

  • Contribute to solving challenging two-sided marketplace problems, using data science practices and solutions.
  • Help articulate the vision and direction for the real-time dynamic pricing models to deliver the next generations of the algorithm.
  • Understand user behavior with regards to pricing and help shape our pricing strategy.
  • Design and implement frameworks to measure price elasticity of passengers at scale.
  • Evaluate price changes in a controlled manner, either via offline or online experiments.
  • Work together with the product and analytics teams to identify and deliver high impact product improvements and optimizations.
  • Keep yourself updated with advances in the fields related to ride-hailing and micro-mobility.
  • Mentor other data members of the team, build a strong culture of Data Science in the domain and ensure that we have the right knowledge and tools to solve problems.

What you need to have:

  • Educational background in Maths, Statistics, Data Science, Computer Science, Machine Learning, Economics or other quantitative discipline or equivalent experience.
  • At least 5 years of hands-on experience in data science methodologies and predictive analytics in a fast-paced environment.
  • Knowledge of Python/R and machine learning libraries
  • Exemplary communication skills, ability to work with cross functional teams, including technical and non-technical team members.
  • Strong commercial awareness, ability to clarify ambiguity and balance priorities.
  • Interest in experimentation, designing experiments, and using causal inference methods to draw conclusions.
  • Deep belief in data and ability to rally people behind your findings/recommendations.

What's in it for you:

  • Competitive full-time salary
  • Defined contribution Pension plan
  • Flexible working hours, top Line tools.
  • Work permit cost covered
  • Commuter Benefits Program
  • Working in a hyper-growth environment, you will enjoy numerous learning and career development opportunities
  • Breakfast, high-quality daily lunch on a very low cost, fruit and snacks all day long
  • A great opportunity to grow and work with the most amazing people in the industry
  • Being part of an environment that offers challenging goals, autonomy and mentoring, which creates incredible opportunities, both for you and the company.

As part of our dedication to the diversity of our workforce, Beat is committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion.

*** Mention DataYoshi when applying ***

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