×
Register Here to Apply for Jobs or Post Jobs. X

Data Scientist, Ads

Job in Coos Bay, Coos County, Oregon, 97458, USA
Listing for: Reddit
Full Time position
Listed on 2026-02-27
Job specializations:
  • IT/Tech
    Data Analyst, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 164200 - 229900 USD Yearly USD 164200.00 229900.00 YEAR
Job Description & How to Apply Below

Reddit is a community of communities. It’s built on shared interests, passion, and trust and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 101M+ daily active unique visitors, Reddit is one of the internet’s largest sources of information.

For more information, visit

[

Location:

remote-friendly or any office location - SF, LA, CHI, NY]

Reddit has a flexible first workforce.

At Reddit we continue to grow our teams with the best talent. We re completely remote friendly and will continue to be after the pandemic.

Advertising is Reddit’s primary revenue driver and we have an ambitious goal to turn it into a massive business. Although several large digital ad platforms already exist, advertisers are being increasingly drawn to Reddit because of our passionate communities. We believe our community-centric platform has created the opportunity for Reddit to build a highly differentiated ads business.

About the Ads Data Science Team:

The Ads Data Science team at Reddit leverages data to maximize advertiser value on Reddit through robust data foundations, metrics, and strategic insights generated through experimentation and cutting-edge DS methods.

We work on a wide range of challenging problems in the areas of ads targeting, relevance modeling, auction optimization, measurement, and user experience. We are a highly collaborative team of passionate data scientists and engineers who are constantly pushing the boundaries of what s possible with machine learning and statistical modeling.

About the Role:

We are looking for a highly motivated and experienced Data Scientist to join our growing Ads Data Science team. As a Data Scientist, you will play a key role in developing as well as applying cutting-edge DS models/methods to improve our understanding of the dynamics that drive the success of our advertising platform, and identify opportunities to accelerate that success. You will work closely with stakeholders across product, engineering, sales, marketing, and data to identify opportunities, define metrics, and build solutions that drive significant impact for Reddit.

Responsibilities:

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

Qualifications:

  • MS or PhD in Computer Science, Statistics, Mathematics, or a related field
  • 3+ years of experience in data science, machine learning, or a related field
  • 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 Big Query a plus
  • Proficiency in Python or R and experience with machine learning libraries such as scikit-learn, Tensor Flow, or Py Torch
  • Experience with SQL and relational databases
  • Excellent communication and presentation skills
  • Passion for Reddit and the online advertising industry

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 Match
  • Family Planning Support
  • Gender-Affirming Care
  • Mental Health & Coaching Benefits
  • Flexible Vacation & Reddit Global Days off
  • Generous paid Parental Leave
  • Paid Volunteer time off

#LI-Remote

Pay Transparency:

This job posting may span more than one career level.

In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.

-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit

To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.

The base pay range for this position is: $164,200 — $229,900 USD

In select roles and…

To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
 
 
 
Search for further Jobs Here:
(Try combinations for better Results! Or enter less keywords for broader Results)
Location
Increase/decrease your Search Radius (miles)

Job Posting Language
Employment Category
Education (minimum level)
Filters
Education Level
Experience Level (years)
Posted in last:
Salary