Senior Data Scientist, Ads

Reddit

Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$190,800–$267,100 / yr
Posted
today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $162k
This role $229k
$91k most similar roles pay here $286k

This role pays more than 90% of similar roles. Most pay $126,800–$198,000 — the shaded band above. At the midpoint, this role pays about $229k versus about $162k for comparable roles.

Based on 240 similar postings.

Employer

About Reddit

Reddit is a social news aggregation and discussion platform where users share content, vote on posts, and engage in community conversations across thousands of interest-based forums called subreddits.

Reddit currently has 72 open roles on FindRole.

Listed pay typically runs $217,000–$303,900 across 66 roles with salary data.

Most-posted roles

View all roles at Reddit

At a glance

TL;DR · Senior Data Scientist, Ads

As a Senior Data Scientist at Reddit’s Ads Data Science team, you will work on developing and applying cutting-edge data science models to enhance the performance of Reddit's advertising platform. Your day-to-day responsibilities include analyzing large datasets to identify trends that improve advertiser experiences, collaborating with product managers and engineers to define requirements and build solutions, and communicating findings to stakeholders across the organization. You will need a strong background in statistical modeling, machine learning, and experience with tools like Spark or BigQuery, along with proficiency in Python or R and SQL. This role involves working on complex challenges related to ad platform measurement, campaign management, and advertiser growth within Reddit’s vibrant community-centric ecosystem.

What you'll do

  • Design and develop data science solutions to enhance advertiser experience on Reddit’s ad platform.
  • Analyze large datasets to identify trends that improve the effectiveness of advertising platforms.
  • Develop machine learning models for anomaly detection, prediction, and pattern recognition in ads.
  • Collaborate with product managers to translate requirements into actionable data science projects.
  • Communicate complex findings and recommendations to stakeholders across the organization.

What we're looking for

  • Advanced degree in a quantitative field (Masters or Ph.D.)
  • 5+ years of industry experience for M.S., 4+ years for Ph.D. in applied science/data science roles
  • Deep understanding of the ads ecosystem and platform experience
  • Strong expertise in statistical modeling, machine learning algorithms, causal inference, and experimental design
  • Proficiency with Python/R and experience using ML libraries like scikit-learn, TensorFlow, or PyTorch
  • Experience with large-scale data processing tools such as Spark, Hadoop, Hive, and BigQuery

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