The Role

Wpromote is looking for a Data Scientist to join our Data Science team! In this role, you’ll partner cross-functionally with Engineering, Product and Reporting Solutions to design machine learning workflows and statistical models that extract key insights from troves of marketing data. Your solutions will scale as productized apps used by our industry-leading marketers to unlock new performance opportunities for our clients. You will have the opportunity to challenge the limits of what’s possible with data science and performance marketing, designing novel solutions through Computer Vision, Time Series Analysis, Optimal Experimental Design, Recommendations, etc., using supervised and unsupervised methods including Deep Learning, Bayesian Modeling and Graph Neural Nets.

You Will Be

  • Working closely with Product Development to identify high impact business problems that can be solved by data science and machine learning methods
  • Designing, prototyping and testing
  • Developing scalable, efficient, and automated workflows that can analyze large amounts of data from various sources
  • Integrating scalable workflows in production by working with software engineers
  • Maintaining data science and machine learning workflows by fixing bugs or improving the model performance if required
  • Articulating complex, technical results and methods to internal stakeholders
  • Occasionally join client meetings to understand client data problems and propose innovative solutions
  • Proactively bring issues and problems to the attention of the team and, propose and implement innovative solutions to solve them

You Must Have

  • Education: Ph.D. in Computer Science, Engineering, Statistics, Economics or any related quantitative discipline preferred;
    • M.S. +2 years of experience or B.S. + 4 years of relevant experience will also be considered
  • A deep understanding of statistical modeling and machine learning techniques.
  • Strong programming skills in Python & SQL
  • An understanding with state-of-the-art machine learning algorithms and packages
  • Familiarity with either Deep Learning frameworks (TensorFlow, Keras, PyTorch ) or Bayesian Modeling techniques
  • Strong working knowledge with large data sets, preferably in the digital marketing domain.
  • Experience with cloud OLAP database platforms such as Big Query and Snowflake
  • Working experience in developing and deploying to cloud providers such as AWS and Google Cloud Platform
  • Curiosity in staying on the cutting edge of data science technologies
  • Strong problem solving skills with the ability to call out problems
  • Ability to work independently and within a team environment
  • Awareness of the wider Digital Marketing space, including Paid Search, Paid Social, SEO & general Digital Marketing Strategy is a plus

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