Job Specifications
Senior Data Scientist – Ads
Location: Remote (PST preferred; must have overlap with ET & PT)
Pay: $80 - $100/hr dependent on experience (W2 with benefits)
Duration: 3 months (40 hours/week, potential to extend)
Contract Type: W2 only (C2C or third-party candidates not eligible)
About the Opportunity
We’re seeking a highly motivated Senior Data Scientist to join a dynamic Ads Data Science team focused on driving advertiser value through data for our well-known Media Client
Advertising is the primary revenue driver for our client, and they’re on a mission to transform it into a highly differentiated, community-centric business. This is a unique chance to contribute to an innovative ad platform that is rapidly growing and evolving.
About the Ads Data Science Team
The team leverages data to maximize advertiser success through robust data foundations, metrics, and strategic insights generated via experimentation and advanced data science methods. You’ll work on impactful challenges in areas like ad targeting, relevance modeling, auction optimization, measurement, and user experience — collaborating closely with product managers, engineers, and fellow data scientists.
What You’ll Do
Design, develop, and apply data science solutions to improve advertiser experience and platform performance
Build data assets (e.g., new tables, self-serve dashboards) to empower partners with actionable insights
Create reporting dashboards to help product and engineering teams monitor key metrics and dive into trends
Analyze large-scale datasets to identify patterns, trends, and insights that improve ad effectiveness
Partner with cross-functional teams to translate product requirements into data-driven solutions
Deliver strategic insights that influence future product direction
Develop ML models and data science methods for anomaly detection, prediction, and pattern recognition
Present findings and recommendations to stakeholders across the organization
What We’re Looking For
Engineering Experience/Background: someone who can truly understand the project from a business pain point. Use creativity and solve the issue hands-on.
Product meaning: Someone who is working in an environment that users/customers are directly interacting with rather than internal.
Analytics: Distribution analysis and related data workflows. Exposure to data modeling.
10+ years of experience in data science, machine learning, or a related field
Experience working within the advertising or ad tech industry is required
Strong understanding of statistical modeling, ML algorithms, causal inference, and experimental design
Experience with SQL and relational databases
Proficiency in Python or R, plus familiarity with libraries like scikit-learn, TensorFlow, or PyTorch
Experience with large-scale data tools such as Spark, Hadoop, Hive, or BigQuery
Hands-on experience with causal inference and A/B testing
MS or PhD in Computer Science, Statistics, Mathematics, or a related field
About the Company
The Planet Group is a diversified professional services organization focused on providing high-value outsourced human capital solutions and niche consulting services to Fortune 500 and other leading clients in the fastest growing and most in-demand sectors. The Planet Group consists of staffing and consulting entities that have been purposefully built to address the professional services needs of leading companies in the technology, energy & engineering, accounting & finance, HR, administrative, and digital marketing industr...
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