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Data Scientist

Our client is looking for a Data Scientist to join and help their team make data-informed decisions that have direct and measurable impact to our organization building engaging personal experiences for our customers. This individual will work with business managers and executives to help identify viable data mining opportunities and then implement analytical solutions. The role requires both a broad knowledge of existing data mining algorithms, experience with survey methodologies and creativity to invent and customize when necessary. You will be responsible for creating dashboards and building models in order to inform decision making in a series of complex product and business problems. On a regular basis you will be collaborating with department heads, product managers, designers and marketing to leverage new and existing customer data.



  • Develop and implement data science solutions to fit business problem, which may include applying algorithms from a standard tool or custom algorithm development
  • Work with business owners to map business requirements into technical solutions
  • Work closely to help architect, design and optimize our data warehouse to generate seamless business intelligence solutions for internal and external partners
  • Support production analytic solution
  • Perform ad hoc statistical and data science
  • Present results of analyses to business units, our Board and potential investors



  • Bachelor's Degree required (Master's preferred)
  • Familiarity with database modeling and data warehousing principles with a working knowledge of SQL
  • Deep knowledge of survey methodologies
  • Creativity to go beyond current tools to deliver best solution to the problem
  • Strong programming skills in Python, Java, C++, or similar language
  • Familiarity with multiple programming and scripting languages useful to data engineering
  • Java and Python experience
  • Excellent interpersonal, written, and verbal communication skills
  • Ability and comfort working independently and making key decisions on projects
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