West Coast Consulting LLC
Job Description
Location: Remote, The CW must have at least three hours of overlap with the Pacific Time Zone (PT) Contract Duration: THREE-MONTH engagement, with the possibility for an extension.
Info about the team: The Ads Data Science team leverages data to maximize advertiser value on Reddit through robust data foundations, metrics, and strategic insights generated through experimentation and cutting‑edge DS methods. They work on a wide range of challenging problems in the areas of ads targeting, relevance modeling, auction optimization, measurement, and user experience. They 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 Opportunity Our client, a leader in Advertising, is looking for a skilled Data Scientist IV to join their team for a THREE-MONTH engagement, with the possibility for an extension. This project involves leveraging data to maximize advertiser value on Reddit through robust data foundations, metrics, and strategic insights generated through experimentation and cutting‑edge DS methods. This is a high‑impact role that requires a self‑motivated professional who can hit the ground running and deliver results quickly.
Key Responsibilities & Deliverables
Design, develop, and apply DS solutions to inform improvements in advertiser experience as well as Reddit’s ad platform & marketplace performance.
Creating data assets (new tables, self‑serve dashboards, etc.) to enable partners to answer their own data questions.
Creating reporting dashboards for product and engineering partners to understand topline metrics movements and deep dive into specific areas of interest.
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.
Uncovering strategic insights and sharing them with stakeholders to shape future product directions.
Develop ML models & DS methods to improve anomaly detection, prediction & pattern recognition.
Communicate findings and recommendations to stakeholders across the organization.
Required Skills & Experience
5 years of experience in data science, machine learning, or a related field.
Deep expertise in Advanced Data Visualization Techniques, Advanced SQL, Apache Airflow, and Python. This isn’t a learning role—you need to be a subject matter expert.
Demonstrated ability to work autonomously and manage your own time effectively to meet project goals.
Experience with large‑scale data processing and analysis using tools such as Spark, Hadoop, or Hive; knowledge of BigQuery a plus.
Strong understanding of statistical modeling, machine learning algorithms, causal inference and experimental design.
Strong communication skills to provide clear and concise status updates to the project team.
Qualifications
MS or PhD in Computer Science, Statistics, Mathematics, or a related field.
Experience with SQL and relational databases.
Proficiency in Python or R and experience with machine learning libraries such as scikit‑learn, TensorFlow, or PyTorch.
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Location: Remote, The CW must have at least three hours of overlap with the Pacific Time Zone (PT) Contract Duration: THREE-MONTH engagement, with the possibility for an extension.
Info about the team: The Ads Data Science team leverages data to maximize advertiser value on Reddit through robust data foundations, metrics, and strategic insights generated through experimentation and cutting‑edge DS methods. They work on a wide range of challenging problems in the areas of ads targeting, relevance modeling, auction optimization, measurement, and user experience. They 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 Opportunity Our client, a leader in Advertising, is looking for a skilled Data Scientist IV to join their team for a THREE-MONTH engagement, with the possibility for an extension. This project involves leveraging data to maximize advertiser value on Reddit through robust data foundations, metrics, and strategic insights generated through experimentation and cutting‑edge DS methods. This is a high‑impact role that requires a self‑motivated professional who can hit the ground running and deliver results quickly.
Key Responsibilities & Deliverables
Design, develop, and apply DS solutions to inform improvements in advertiser experience as well as Reddit’s ad platform & marketplace performance.
Creating data assets (new tables, self‑serve dashboards, etc.) to enable partners to answer their own data questions.
Creating reporting dashboards for product and engineering partners to understand topline metrics movements and deep dive into specific areas of interest.
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.
Uncovering strategic insights and sharing them with stakeholders to shape future product directions.
Develop ML models & DS methods to improve anomaly detection, prediction & pattern recognition.
Communicate findings and recommendations to stakeholders across the organization.
Required Skills & Experience
5 years of experience in data science, machine learning, or a related field.
Deep expertise in Advanced Data Visualization Techniques, Advanced SQL, Apache Airflow, and Python. This isn’t a learning role—you need to be a subject matter expert.
Demonstrated ability to work autonomously and manage your own time effectively to meet project goals.
Experience with large‑scale data processing and analysis using tools such as Spark, Hadoop, or Hive; knowledge of BigQuery a plus.
Strong understanding of statistical modeling, machine learning algorithms, causal inference and experimental design.
Strong communication skills to provide clear and concise status updates to the project team.
Qualifications
MS or PhD in Computer Science, Statistics, Mathematics, or a related field.
Experience with SQL and relational databases.
Proficiency in Python or R and experience with machine learning libraries such as scikit‑learn, TensorFlow, or PyTorch.
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