Senior Data Scientist, Ads

The company 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, the company users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, the company is one of the internet’s largest sources of information. For more information, visit [link for members] .

Location: US remote-friendly

The company has a flexible first workforce. At the company 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 the company’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 the company because of our passionate communities. We believe our community-centric platform has created the opportunity for the company to build a highly differentiated ads business.

About the Ads Data Science Team

The Ads Data Science team at the company leverages data to maximize advertiser value on the company 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 the company.

Responsibilities

• Design, develop, and apply DS solutions to inform improvements in advertiser experience and the company'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 the company 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, the company 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 [link for members] .

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 .

The company is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  The company 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.