Facebook pixel

Data Scientist
Machine Learning, Ads Targeting
Posted on 8/26/2022
New York, NY, USA
Experience Level
Desired Skills
Natural Language Processing (NLP)
  • Experience in machine learning applications of natural language processing, recommendation system, large scale unsupervised learning
  • Bachelor's degree or above in Mathematics, Statistics, Machine Learning, Computer Science, Economics, or other quantitative fields
  • Master's or PhD degree is preferred but not required
  • Strong analytical and communication skills
  • Strong skills in SQL and programming (Python or R)
  • Understanding of experimentation and causal inference analyses
  • Experience in online advertising is preferred but not required
  • Build machine learning models to improve ML focussed Ads Targeting products such as User Lookalike Models, Keyword Targeting, User Interest Matching
  • You will design metrics and mechanisms to understand and evaluate the performance of various Targeting products
  • Be involved in all phases of modeling such as ideation, offline modeling, online implementation, experimentation, deploy and post-launch monitoring/measurements
  • Serve as a thought-partner for product managers, engineering managers in shaping the Targeting roadmap and strategy by identifying opportunities through deep-dive analyses and/or modeling
  • This role will have a lot of overlap with other Machine Learning Engineer roles, but will differ in a couple of areas. First is that you will work mainly on offline modeling and rely on engineers to productionize your models. Secondly, you will have a keen interest in the collection and quality of underlying data (experiment design and analysis, data deep dive), along with working on ETLs and data aggregations needed for training, testing and productionizing models

501-1,000 employees

Social news website & forum
Company Overview
Reddit's mission is to bring community and belonging to everyone in the world. The company operates a social news website and forum where content is socially curated by members.
  • Comprehensive health benefits
  • Flexible unlimited vacation days & monthly global wellness days
  • Family planning funds & 4+ months paid parental leave
  • Personal & professional development funds
  • Paid volunteer time off
  • Workspace & home office benefits
Company Values
  • Evolve: Only by continually improving and learning will we succeed.
  • Add Value: We constantly evaluate our work to ensure it’s adding value and bringing us closer to achieving our mission. It’s easy to fall into the trap of conflating activity with value. Adding value requires hard work, but not all hard work is valuable.
  • Default: Open The free flow of ideas and feedback is the lifeblood of a healthy organization, and Reddit must embrace it if we are to thrive.