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data opportunity

Senior Data Scientist, Ads

Design and develop data science solutions to enhance the advertiser experience on Reddit's ad platform. Analyze large datasets to identify trends and collaborate with product managers and engineers to implement data-driven insights.

United StatesremoteFULL_TIME

Posted

About the role

What will you do at Reddit?

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 126 million

daily active unique visitors, Reddit is one of the internet’s largest sources of

information. For more information, visit www.redditinc.com

[http://www.redditinc.com/].

Location: US remote-friendly

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 and platform

measurement, campaign and creative management, advertiser growth and retention,

monetization, and the intersection of brand and community engagement. 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 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. You will work closely with product managers, engineers,

and other data scientists to identify opportunities, define metrics, and build

solutions that drive significant impact for Reddit.

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
  • * 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 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

#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

https://www.redditinc.com/careers/ [https://www.redditinc.com/careers/].

To provide greater transparency to candidates, we share base salary 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 salary range for this position is:

$190,800—$267,100 USD

In select roles and locations, the interviews will be recorded, transcribed and

summarized by artificial intelligence (AI). You will have the opportunity to opt

out of recording, transcription and summarization prior to any scheduled

interviews.

During the interview, we will collect the following categories of personal

information: Identifiers, Professional and Employment-Related Information,

Sensory Information (audio/video recording), and any other categories of

personal information you choose to share with us. We will use this information

to evaluate your application for employment or an independent contractor role,

as applicable. We will not sell your personal information or disclose it to any

third party for their marketing purposes. We will delete any recording of your

interview promptly after making a hiring decision. For more information about

how we will handle your personal information, including our retention of it,

please refer to our Candidate Privacy Policy for Potential Employees and

Contractors [https://redditinc.com/policies/candidate-privacy-policy].

Reddit is proud to be an equal opportunity employer, and is committed to

building a workforce representative of the diverse communities we serve. Reddit

is committed to providing reasonable accommodations for qualified individuals

with disabilities and disabled veterans in our job application procedures. If,

due to a disability, you need an accommodation during the interview process,

please let your recruiter know.

Which skills does this role require?

Data ScienceStatistical ModelingExperimental DesignLarge-Scale Data ProcessingSparkHadoopHiveBigQueryAds EcosystemAnomaly DetectionPredictionPattern RecognitionMentorshipCollaborationInsightsTrendsProduct Management

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Identify the requirements you can demonstrate, then choose examples from your work to discuss with the hiring team.

Review the responsibilities and requirements before adding an opening to your shortlist.

Role information can change. Confirm current details on the original application page.

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