Data Scientist at Rover.com | Torre

Data Scientist

Emma highlights
This highlight was written by Emma’s AI. Ask Emma to edit it.
Full-time

Legal agreement: To be defined

USD75.4K - 100K/year

~COP150M - 200M/year

+ Equity

+ Bonuses

location_on
Hybrid (Barcelona)
Posted almost 3 years ago

Responsibilities


- Rover app and website connect dog and cat parents with loving pet sitters and dog walkers in neighborhoods across the US, Canada, and Europe. - Named among the 100 Best Companies to Work For in Seattle Business Magazine and Washington’s Best Workplaces in the Puget Sound Business Journal. - Agile, fast-growing company with leadership from some of the world's most respected tech companies. - Committed to fostering a diverse, inclusive, and welcoming community of pet people. Rover is seeking a Data Scientist to join our Data Science & Analytics team in Barcelona. As a Data Scientist at Rover, you will collaborate closely with business, product, marketing, and operations teams to pinpoint opportunities for enhanced efficiency in our marketplace. You will develop and refine models that aim to improve matching efficiency and retain customers on our platform, utilizing predictive analytics and machine learning techniques. Your responsibilities will also include designing, building, and maintaining robust data pipelines, performing statistical analysis, and analyzing marketplace experiments. The ideal candidate will have at least 1 year of experience in a business setting as a data scientist or analyst, a BS in a quantitative discipline, and a strong foundation in statistical concepts and machine learning algorithms. If you are a deeply analytical thinker, passionate about using data to drive real value, and have excellent communication skills in English, we encourage you to apply for this exciting opportunity at Rover! Responsibilities: - Collaborate closely with business, product, marketing, and operations teams to pinpoint opportunities for enhanced efficiency in the marketplace. - Develop and refine models to improve matching efficiency and retain customers on the platform, utilizing predictive analytics and machine learning techniques. - Design, build, and maintain robust data pipelines for informed decision-making and algorithmic inputs. - Dive deep into marketplace dynamics, extracting valuable insights and providing strategic recommendations to shape product offerings, using data mining and data visualization. - Perform statistical analysis to draw inferences, forecast future trends, and predict user behavior. - Design, setup, and analyze marketplace experiments (e.g. A/B testing, before-after analyses) of data science pipelines, often in close collaboration with product managers and engineers.