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AT&T Associate Data Scientist in New York, New York

Description

  • Use machinelearning techniques, visualizations, statistical analysis, etc. to gain insightinto various data sets – some of which are readily available, and some of whichyou 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 onbusiness needs

  • Collaborate withteam members, both to build out specific projects and to continuously teach andlearn new technology and techniques

  • Apply deep,creative, rigorous thinking to solve broad technical and/or business problems

  • Communicatefindings and solutions clearly to a variety of audiences, e.g. writing clear,comprehensive specs for engineers or explaining algorithmic concepts to productmanagers

  • Actively seek out abroad understanding of the Xandr platform, product, and value propositionand align design efforts with that context

  • Work independentlywith minimal supervision but high accountability

Qualifications

  • Bachelor’s degreein statistics, pure or applied mathematics, operations research, machinelearning, or other highly quantitative field

  • 2-4 years ofexperience working with large data sets in a business context experience withmachine learning techniques a plus

  • Proficiency withSQL and at least one other common scripting or compiled programming language(Python, Java, and/or Scala a plus)

  • Track record ofsolving complex, non-routine problems

  • Hands-on attitudetoward problem-solving, including a willingness to dig into terabytes of dataand quickly construct tools or models

  • Aptitude for divinginto learning new theory and new technology

  • Strong written andverbal communication skills

  • Abilityto 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

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