Senior Data Scientist, Ads

Lumen Dynamics 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, Lumen Dynamics 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, Lumen Dynamics is one of the internet’s largest sources of information. For more information, visit . Lumen Dynamics has a flexible first workforce. At Lumen Dynamics 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 Lumen Dynamics ’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 Lumen Dynamics because of our passionate communities. We believe our community-centric platform has created the opportunity for Lumen Dynamics to build a highly differentiated ads business. About the Ads Data Science Team: The Ads Data Science team at Lumen Dynamics leverages data to maximize advertiser value on Lumen Dynamics 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 Lumen Dynamics . Responsibilities: Design, develop, and apply DS solutions to inform improvements in advertiser experience and Lumen Dynamics '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 Lumen Dynamics 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: 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 Comprehensive Medical Benefits & Health Care Spending Account Registered Retirement Savings Plan with matching contributions Income Replacement Programs Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave 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 us