Wpromote is hiring a
Data Scientist

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Wpromote

πŸ’΅ $95k-$130k
πŸ“Remote - United States

Summary

Join our team as a Data Scientist and leverage statistical tools, deep learning, and marketing data to build innovative data solutions. You'll partner with cross-functional teams to design machine learning workflows and statistical models that extract key insights from troves of marketing data.

Requirements

  • Degree 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
  • Strong programming skills in R, Python & SQL
  • Demonstrable successes in delivering data-driven products, including being involved in all aspects of the product development life cycle
  • A deep understanding of statistical modeling and machine learning techniques
  • An understanding of state-of-the-art machine learning algorithms and packages
  • Strong working knowledge with large data sets, preferably in the digital marketing domain
  • Experience with cloud OLAP database platforms such as BigQuery and Snowflake
  • Working experience in developing and deploying to cloud providers such as AWS and Google Cloud Platform
  • Strong communication skills, to both technical and non-technical audiences
  • Ability to work beyond familiar algorithms - to get out of one’s comfort zone and earnestly seek to integrate the best solutions to business challenges
  • Sincere interest in working towards the data-driven future of digital marketing within a fast-growing organization

Responsibilities

  • 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 new products & data solutions
  • 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

Benefits

  • Remote-first culture
  • Unlimited PTO
  • Extended Holiday break (Winter)
  • Flexible schedules
  • Work from anywhere options*
  • 100% paid parental leave
  • 401(k) matching
  • Medical, Dental, Vision, Life, Pet Insurance
  • Sponsored life insurance
  • Short Term Disability insurance and additional voluntary insurance
  • Annual Class Pass credits and more!

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