Data Scientist, Ads

Reddit Reddit · Consumer · United States · Remote · Ads Data Science

Data Scientist role focused on improving Reddit's advertising platform by developing and applying ML models and DS methods for anomaly detection, prediction, and pattern recognition. The role involves analyzing large datasets, collaborating with cross-functional teams, and communicating findings to stakeholders to drive significant impact.

What you'd actually do

  1. Analyze large-scale datasets to identify trends, patterns, and insights that can be used to improve the effectiveness of our advertising platform
  2. Develop ML models & DS methods to for improved anomaly detection, prediction, pattern recognition
  3. Communicate findings and recommendations to stakeholders across the organization
  4. Collaborate with product, engineering, sales, and marketing partners to define product and program requirements and translate them into data science solutions
  5. Stay up-to-date on the latest advancements in machine learning and data science

Skills

Required

  • Advanced degree (Masters or Ph.D.) in Statistics, Mathematics, Physics, Economics, or Operations Research
  • 3+ years of industry experience (for MS) or 2+ years (for PhD) in applied science or data science roles
  • Statistical modeling
  • Machine learning algorithms
  • Causal inference
  • Experimental design
  • Large-scale data processing and analysis (Spark, Hadoop, Hive)
  • Python or R
  • Machine learning libraries (scikit-learn, TensorFlow, PyTorch)
  • SQL
  • Relational databases
  • Communication and presentation skills

Nice to have

  • BigQuery
  • Online advertising and ad tech
  • Causal inference and A/B testing
  • Contributions to open-source projects or publications

What the JD emphasized

  • advanced degree (Masters or Ph.D.) in a quantitative field
  • 3+ years of industry experience in applied science or data science roles
  • 2+ years of industry experience in applied science or data science roles
  • Strong understanding of statistical modeling, machine learning algorithms, causal inference and experimental design
  • Experience with large-scale data processing and analysis using tools such as Spark, Hadoop, or Hive
  • Proficiency in Python or R and experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch
  • Experience with SQL and relational databases

Other signals

  • Develop ML models & DS methods to for improved anomaly detection, prediction, pattern recognition
  • Analyze large-scale datasets to identify trends, patterns, and insights that can be used to improve the effectiveness of our advertising platform
  • Collaborate with product, engineering, sales, and marketing partners to define product and program requirements and translate them into data science solutions