# Senior Data Scientist, Ads

**Company**: Reddit
**Location**: Remote - United States
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Salary**: $190,800-$267,100 USD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/reddit/jobs/6042236?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_3480e0e8-2e9

## Description

We are looking for a highly motivated and experienced Senior Data Scientist to join our growing Ads Data Science team. As a Senior Data Scientist, you will play a key role in developing as well as applying cutting-edge DS models/methods to improve the adoption and performance of our advertising platform through data-driven insights.

Responsibilities:

- Design, develop, and apply DS solutions to inform improvements in advertiser experience and Reddit's ad platform

- 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 managers and engineers to define product requirements and translate them into data science solutions

- Develop ML models & DS methods to improve anomaly detection, prediction, & pattern recognition

- Communicate findings and recommendations to stakeholders across the organization

- Stay up-to-date on the latest advancements in machine learning and data science

- Mentor and guide junior data scientists on the team

Qualifications:

- Advanced degree (Masters or Ph.D.) in a quantitative field such as: Statistics, Mathematics, Physics, Economics, or Operations Research

- For M.S. holders: 5+ years of industry experience in applied science or data science roles

- For Ph.D. holders: 4+ years of industry experience in applied science or data science roles

- 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

- Excellent communication and presentation skills

Bonus Points:

- Experience with online advertising and ad tech

- Experience with causal inference and A/B testing

- Contributions to open-source projects or publications in relevant conferences or journals

Benefits:

- Comprehensive Healthcare Benefits and Income Replacement Programs

- 401k with Employer Match

- Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support

- Family Planning Support

- Gender-Affirming Care

- Mental Health & Coaching Benefits

- Flexible Vacation & Paid Volunteer Time Off

- Generous Paid Parental Leave

## Skills

### Required
- Python
- R
- Spark
- Hadoop
- BigQuery
- scikit-learn
- TensorFlow
- PyTorch
- SQL
- relational databases
- statistical modeling
- machine learning algorithms
- causal inference
- experimental design

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/reddit/jobs/6042236?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)