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Lead Data Scientist

Soluto is a service aiming to help users enjoy technology. Millions of customers use the service to learn new stuff or get help from our Experts. We want any interaction with our service to be as meaningful as possible for the customer, be it a notification they receive that helps them learn a new trick on their iPhone, or if they ask an Expert to visit them at home to help set up a new smart device. As the service evolves, we see a growing demand to apply data science practices throughout our product. We’re looking for an experienced Data Scientist to lead this effort, help coach other team members and integrate Data Science into our development process.


  • Work closely with Product Managers to identify and answer meaningful product questions that support decision-making and drive results
  • Apply data modeling techniques to understand and help solve complex problems
  • Coach other Data Scientists, with different levels of experience
  • Create prototypes for new data product ideas
  • Design large scale models using various statistical methods and Machine Learning algorithms
  • Communicate findings to Product Managers, developers and other stakeholders
  • Drive the collection of new data and the refinement of existing data
  • Analyze and interpret the results of product experiments
  • Develop best practices for instrumentation and experimentation, and communicate those to product development teams


  • M.Sc. or Ph.D. in a relevant technical field
  • Experience in leading data science teams or efforts
  • Extensive experience solving analytical problems using quantitative approaches
  • Experience working on product development teams
  • Comfortable manipulating and analyzing complex, high-volume, high dimensionality data from multiple sources
  • A passion for empirical research and for answering hard questions with data
  • Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner
  • Fluency with at least one scripting/programming language like Python, Scala, Perl, Java, Go or similar
  • Familiarity with relational databases and SQL
  • Expert knowledge analysis tools like R, Matlab, SAS, Octave or python-Pandas
  • Experience working with large data sets
  • Experience working with distributed computing tools a plus (Map/Reduce, Hadoop, Hive, etc.)
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