Senior Data Scientist
Athens, Attica, Greece
πριν από 1 μέρα

What you will focus on :

  • Lead efforts around Blueground’s data science models and developing predictive recommendations to improve pricing and asset selection
  • Employ different data science techniques and select appropriate model to solve core problems for Revenue Management and Asset Selection
  • Develop new features, improve data quality, and prioritize and acquire new data sources
  • Work with business stakeholders on optimal output of model recommendations, build prototypes, evaluate results, and deploy models to production
  • What we are looking for :

  • MS or PhD in economics, statistics, machine learning, computer science, mathematics or highly quantitative field
  • 5+ years of experience with breadth of data science techniques and machine learning models - experience with Statistics, Bayesian Models, Forecasting, Decision Trees, Clustering, Neural Networks, Time Series Analysis
  • Demonstrated ability to drive business results through model recommendations
  • Experience improving model performance by solving data quality issues, implementing new features, and approaches
  • Agile team-working experience, communication skills, and excellent team spirit
  • Excellent skills in Python or R and SQL and experience with relevant ML libraries
  • Experience deploying and scaling models into a production environment as microservices
  • Experience with pricing models is a plus
  • Your benefits :

  • Workstation of your choice
  • Competitive salary
  • Annual Performance Bonus
  • Group Health Insurance program
  • Mobile Data Plan
  • Flexible paid time off
  • Enhanced parental leave
  • Dynamic working environment with talented people
  • Complimentary accommodation in Blueground locations. Think summer in LA and winter in Dubai!
  • Flexible work environment through our Blueground Nomads employee mobility program
  • At Blueground we are proud to have Diversity and Inclusion at the centre of everything we do. We are committed to Equal Employment Opportunity regardless of race, colour, national origin, ethnicity, gender, age, disability, sexual orientation, gender identity or religion.

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