Data Scientist IV

DeWinter Group; San Francisco (CA); Remote; USD 250,000 +; Full time

Job summary

A social media industry leader is seeking a skilled Data Scientist IV for a 3-month remote contract to enhance advertiser value using advanced data methods. Candidates should have over 5 years of experience in data science with deep expertise in data visualization, SQL, Apache Airflow, and Python. Strong analytical skills to uncover insights from large datasets are essential. This is a dynamic role that requires a quick, results-oriented professional.

Qualifications

• 5+ years of experience in data science or machine learning.
• Expertise in data visualization, advanced SQL, Apache Airflow, and Python.
• Strong understanding of statistical modeling and machine learning algorithms.

Responsibilities

• Design and apply data science solutions to improve advertiser experience.
• Develop dashboards and reporting tools for metrics analysis.
• Analyze large-scale datasets to identify trends and insights.

Skills

Data visualization techniques

Advanced SQL

Apache Airflow

Python

Machine learning

Education

MS or PhD in Computer Science, Statistics, Mathematics

Tools

Spark

Hadoop

Hive

BigQuery

Job description

Overview

Title: Data Scientist IV
Job Type: Contract
Contract Length: 3 months
Target Start Date: ASAP
Work Location/Structure: Remote, must have at least three hours of overlap with the Pacific Time Zone (PT)

About the Opportunity

Our client, a leader in the social media industry, is looking for a skilled Data Scientist IV to join their team for a 3 month engagement, with the possibility for an extension. This project involves leveraging data to maximize advertiser value 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 the 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

We are looking for someone with a proven track record of successful contract engagements. The ideal candidate will have:

• 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.
• 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.

Bonus Points

• Experience with online advertising and ad tech.
• Experience with causal inference and A/B testing.