Data Scientist

The Planet Group • Sunnyvale, CA, US • 1d ago

Job Title: Senior Data Scientist – Ads Platform
Location: Remote (U.S. preferred, especially PST; must have overlap with ET & PT time zones.
Pay Rate: $72/hour (W2 only)
Duration: 3-month contract to start
Visa Sponsorship / C2C: Not available; W2 only

Interview Process

Step 1: 30-minute interview with hiring manager (non-technical)
Step 2: Panel interview with cross-functional leads

Background/References: Required
Role Overview
The Senior Data Scientist will join a high-impact Ads Data Science team focused on improving advertiser experience and platform performance through advanced data science solutions. This role involves developing models, building data assets, and generating strategic insights to support product and engineering teams. The ideal candidate will be a proactive communicator and hands-on contributor in a fast-paced, collaborative environment.
Key Responsibilities Data Science & Modeling

Design and apply DS models to improve ad platform performance and advertiser experience
Develop ML methods for anomaly detection, prediction, and pattern recognition
Analyze large-scale datasets to uncover trends and actionable insights

Data Infrastructure & Reporting

Build data assets (tables, dashboards) for self-service analytics
Create reporting tools to monitor topline metrics and deep dive into product areas

Collaboration & Strategy

Partner with product managers and engineers to define requirements and translate them into DS solutions
Share strategic insights to influence product direction
Communicate findings and recommendations across teams

Required Qualifications

MS or PhD in Computer Science, Statistics, Mathematics, or related field
Online advertising and ad tech data experience
5+ years of experience in data science, machine learning, or related field
Strong understanding of:
- Statistical modeling
- Machine learning algorithms
- Causal inference
- Experimental design
Proficiency in:
- SQL
- Python or R
- ML libraries (e.g., scikit-learn, TensorFlow, PyTorch)

Preferred Qualifications

Experience with:
- Large-scale data tools (Spark, Hadoop, Hive)
- BigQuery
- Online advertising and ad tech
- Causal inference and A/B testing

#LI-CW1 #TECH #Remote

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