Data Science Consultant

Data Science Consultant role focused on building and supporting marketing data science solutions for clients, involving end-to-end data problem solving, from understanding business goals to translating them into ML use cases, model design, exploratory data analysis, feature transformation, model interpretation, and proof of concept development. The role also involves working with data engineering teams and clients to ensure solutions perform as expected.

What you'd actually do

  1. Ability to understand business goals and translate them into Machine Learning use cases and model design
  2. Performing exploratory data analysis to understand relationships, opportunities to influence outcomes and how to attribute cross channel outcomes
  3. Being able to quickly iterate over common feature transformation and model types in order to find the best predictive models
  4. Being able to interpret the models that are being generated
  5. Working closely with clients throughout

Skills

Required

  • Python or R
  • understanding of the strategic application of data science methodologies

Nice to have

  • Master’s in a quantitative field
  • Experience manipulating large marketing data sets and performing ETL
  • Boosted Trees
  • Logistic regression
  • Classification Techniques
  • Unsupervised models
  • LLM
  • experimental design
  • Experience with large data sets generated in the Ad Tech or Marketing technology spaces
  • tailoring messages effectively and choosing appropriate visual aids to facilitate understanding

What the JD emphasized

  • Machine Learning use cases
  • predictive models

Other signals

  • customer value
  • marketing data science
  • machine learning use cases
  • predictive models