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Job Overview


    • You utilize Big Data and Machine Learning to build predictive models that support decision-making processes, customer experience, and various business initiatives.
    • You conduct Data Science research on business-critical topics.
    • You are a hacker; you can connect multiple Data Science modules and algorithms to join and build a required Data Science Offering.
    • You monitor performance and continuously improve Zeotap's live production Data Science models.
    • You execute prescriptive data analyses and models that drive business and functional decisions in Product and Marketing


  • At least 7 years of experience with Strong knowledge and track record of stats/ML techniques.
  • Master's degree in a quantitative discipline with Focus on Machine Learning.
  • Extremely strong in Data Structure and Algorithms.
  • An excellent coder with knowledge of Python/ Py-spark, Tensorflow or Py-Torch.
  • Experienced in end to end data science delivery with clear fundamentals in DataStructure and Algorithms.
  • Develop and implement scenario analysis using various statistical models.
  • Should be hands-on and able to tune models and write algorithms from scratch or from research papers.
  • Able to guide/mentor a team of 2 to 3 data scientists
  • Strong analytical and problem-solving skills.
  • Thrives in a collaborative team working environment.
  • He/She enjoys working at a pace.
  • The customer-centric mindset with a can-do attitude.
  • Big data experience is plus.

What do we Offer:

  • Competitive compensation and attractive perks
  • Health Insurance coverage
  • Flexible working support, guidance and training provided by a highly experienced team
  • Fast paced work environment
  • Work with very driven entrepreneurs and a network of global senior investors across telco, data, advertising, and technology

Latest Jobs at Zeotap

Zeotap Overview

Zeotap is a Customer Intelligence Platform (CIP) that helps companies better understand their customers and predict behaviors, to invest in more meaningful experiences. We enable brands to build on a nucleus of first-party data to win new customers and grow their loyal base. Our independent but integrated modules include customer data unification, identity resolution, enrichment, analytics/modeling (including in data clean rooms), and activation to 100+ partners in the marketing ecosystem.

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