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Associate Data Scientist

New York, New York



  • Use machine learning techniques, visualizations, statistical analysis, etc. to gain insight into various data sets – some of which are readily available, and some of which you create and curate yourself (using technology such as Python, Pandas, Hadoop, Hive, or Spark)
  • Research, design, prototype, and possibly deploy new algorithmic product features based on business needs
  • Collaborate with team members, both to build out specific projects and to continuously teach and learn new technology and techniques
  • Apply deep, creative, rigorous thinking to solve broad technical and/or business problems
  • Communicate findings and solutions clearly to a variety of audiences, e.g. writing clear, comprehensive specs for engineers or explaining algorithmic concepts to product managers
  • Actively seek out a broad understanding of the Xandr platform, product, and value proposition and align design efforts with that context
  • Work independently with minimal supervision but high accountability


  • Bachelor’s degree in statistics, pure or applied mathematics, operations research, machine learning, or other highly quantitative field
  • 2-4 years of experience working with large data sets in a business context experience with machine learning techniques a plus
  • Proficiency with SQL and at least one other common scripting or compiled programming language (Python, Java, and/or Scala a plus)
  • Track record of solving complex, non-routine problems
  • Hands-on attitude toward problem-solving, including a willingness to dig into terabytes of data and quickly construct tools or models
  • Aptitude for diving into learning new theory and new technology
  • Strong written and verbal communication skills
  • Ability to work in a highly interactive, collaborative, fluid environment
You are passionate about a culture of learning and teaching. You love challenging yourself to constantly improve, and sharing your knowledge to empower others
You like to take risks when looking for novel solutions to complex problems. If faced with roadblocks, you continue to reach higher to make greatness happen
You care about solving big, systemic problems. You look beyond the surface to understand root causes so that you can build long-term solutions for the whole ecosystem
You believe in not only serving customers, but also empowering them by providing knowledge and tools
Job ID 1957703 Date posted 10/30/2019
Career Areas


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