Quick summary
- Work type
- Remote
- Location
- Remote
- Salary
- $190,800–$267,100 / yr
- Posted
- 76 days ago
- Freshness
- Confirmed live today
Market check
Salary context
How this pay compares to similar roles
This role pays more than 77% of similar roles. Most pay $145,200–$225,047 — the blue band above. At the midpoint, this role pays about $229k versus about $185k 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 89 open roles on FindRole.
Listed pay typically runs $216,700–$303,000 across 89 roles with salary data.
Most-posted roles
- Software Engineer 27
- Machine Learning Engineer 10
- Product Manager 8
- Data Scientist 7
- Backend Engineer 3
At a glance
TL;DR · Senior Data Scientist, Ads
The Senior Data Scientist, Ads joins the Ads Data Science team to maximize advertiser value through robust data foundations and strategic insights. This role involves designing and applying cutting-edge data science models to improve the adoption and performance of the advertising platform. You will analyze large-scale datasets to identify trends, develop machine learning models for anomaly detection and pattern recognition, and collaborate with product managers to define requirements. Key technical requirements include proficiency in Python or R, SQL, and machine learning libraries like scikit-learn, TensorFlow, or PyTorch. You must demonstrate expertise in statistical modeling, causal inference, and experimental design using tools such as Spark, Hadoop, or Hive. The work focuses on platform measurement, campaign management, and monetization within the online advertising ecosystem.
What does a Data Scientist earn in Remote?
Median $216300 from 36 postings across 16 companies.
Skills
What you'll do
- Design and apply data science solutions to improve the advertiser experience and the ad platform.
- Analyze large-scale datasets to identify trends and patterns that improve advertising effectiveness.
- Develop machine learning models for anomaly detection, prediction, and pattern recognition.
- Translate product requirements into technical data science solutions with engineers and product managers.
- Communicate data-driven findings and strategic recommendations to stakeholders across the organization.
- Mentor and guide junior data scientists on the team.
What we're looking for
- Advanced degree (Masters or Ph.D.) in a quantitative field such as Statistics, Mathematics, Physics, Economics, or Operations Research.
- 5+ years of industry experience in applied science or data science roles for M.S. holders.
- 4+ years of industry experience in applied science or data science roles for Ph.D. holders.
- Platform experience and a deep understanding of the ads ecosystem.
- 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; knowledge of BigQuery a plus.
- Proficiency in Python or R and experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch.
- Experience with SQL and relational databases.
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