Data Scientist IV

San Francisco, CA - USA

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Project Overview

Client is seeking a highly skilled Senior Data Scientist (Level IV) to design and implement advanced data science solutions that drive adoption and performance across the advertising platform. The ideal candidate will blend deep technical expertise with strong analytical and communication skills to generate impactful insights and enable data-driven decision-making across teams.

Key Responsibilities

Design develop and implement data science models to enhance advertiser experience and improve ad platform performance.
Build and maintain data assets such as tables dashboards and reporting tools to enable partner teams to access and analyze data independently.
Develop self-service dashboards to track key performance metrics and support in-depth product and engineering analysis.
Analyze large-scale datasets to identify trends anomalies and insights that inform business and product strategies.
Collaborate with cross-functional teams including product managers and engineers to define requirements and translate them into scalable data science solutions.
Develop and refine machine learning models for prediction anomaly detection and pattern recognition.
Communicate insights and data-driven recommendations to stakeholders across multiple levels of the organization.

Required Qualifications

Masters or Ph.D. in Computer Science Statistics Mathematics or a related field.
Minimum of 5 years of experience in data science machine learning or a related domain.
Proven expertise in statistical modeling machine learning algorithms causal inference and experimental design.
Hands-on experience with large-scale data processing tools (e.g. Spark Hadoop Hive); experience with BigQuery is a plus.
Advanced proficiency in SQL for complex data analysis.
Strong programming skills in Python or R with experience using libraries such as scikit-learn TensorFlow or PyTorch.

Technical & Soft Skills

Technical: Advanced SQL Python Apache Airflow data visualization statistical analysis ML modeling experimental design.
Soft Skills: Strong analytical thinking collaboration problem-solving and clear communication across technical and non-technical stakeholders.

Project Overview Client is seeking a highly skilled Senior Data Scientist (Level IV) to design and implement advanced data science solutions that drive adoption and performance across the advertising platform. The ideal candidate will blend deep technical expertise with strong analytical and communi...

Project Overview

Key Responsibilities

Design develop and implement data science models to enhance advertiser experience and improve ad platform performance.
Build and maintain data assets such as tables dashboards and reporting tools to enable partner teams to access and analyze data independently.
Develop self-service dashboards to track key performance metrics and support in-depth product and engineering analysis.
Analyze large-scale datasets to identify trends anomalies and insights that inform business and product strategies.
Collaborate with cross-functional teams including product managers and engineers to define requirements and translate them into scalable data science solutions.
Develop and refine machine learning models for prediction anomaly detection and pattern recognition.
Communicate insights and data-driven recommendations to stakeholders across multiple levels of the organization.

Required Qualifications

Masters or Ph.D. in Computer Science Statistics Mathematics or a related field.
Minimum of 5 years of experience in data science machine learning or a related domain.
Proven expertise in statistical modeling machine learning algorithms causal inference and experimental design.
Hands-on experience with large-scale data processing tools (e.g. Spark Hadoop Hive); experience with BigQuery is a plus.
Advanced proficiency in SQL for complex data analysis.
Strong programming skills in Python or R with experience using libraries such as scikit-learn TensorFlow or PyTorch.

Technical & Soft Skills

Technical: Advanced SQL Python Apache Airflow data visualization statistical analysis ML modeling experimental design.
Soft Skills: Strong analytical thinking collaboration problem-solving and clear communication across technical and non-technical stakeholders.