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Data Scientist

Our goal at Soluto is to helps users learn and do new things with their devices and the technology around them. Identifying each one of our users’ needs or interests, and knowing what to recommend is a big challenge.. and when it comes to millions of users - it is even bigger.

We’re looking for an amazing, experienced data scientist to take part in leading the effort of making our product more personalized and valuable to each one of our millions of users.

Responsibilities

  • Taking a big part in leading the effort of making our product more personalized and valuable to each one of our millions of users.
  • This is going to be one of the core features of our platform, which will keep evolving over time
  • Work closely with product managers to identify and answer important product questions that help improve outcomes
  • Interpret problems and provide solutions using appropriate data modeling techniques
  • Develop prototypes for new data product ideas
  • Design large scale models using Logistic Regression, Decision Trees, Conjoint Analysis, Spatial models, Time-series models, and Machine Learning algorithms
  • Communicate findings to product managers and developers
  • 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

Qualifications

  • M.S. or Ph.D. in a relevant technical field
  • Extensive experience solving analytical problems using quantitative approaches
  • Comfortable manipulating and analyzing complex, high-volume, high dimensionality data from multiple sources
  • A strong 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 language such as Python or PHP
  • Familiarity with relational databases and SQL
  • Expert knowledge of an analysis tool such as R, Matlab, or SAS
  • Experience working with large data sets, experience working with distributed computing tools a plus (Map/Reduce, Hadoop, Hive, etc.)

 

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