Role Overview
Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy.
What You Will Do
Evaluate third-party consumer, business, panel and outcome data, and turn validated data into features for a household-level intelligence layer that powers audience and measurement use cases.
Why It Might Be a Fit
You will test what a data provider’s data actually delivers, using real samples, rather than relying on the provider’s reported numbers. You need a solid grasp of how the consumer and business data ecosystem works, including identity resolution, data licensing and audience data.
Requirements
- 6+ years of experience in data science or advanced analytics, ideally in adtech, martech, data brokerage or programmatic/real-time platforms.
- Statistical analysis of sample and panel data: match-rate testing, deduplication and bot detection, and geographic (DMA-level) distribution analysis.
- Strong Python (pandas, scikit-learn or equivalent) and SQL.
- Working knowledge of identity resolution: hashed PII, deterministic vs. probabilistic matching, and MAID, HEM and household-ID concepts.
- Experience matching and joining disparate datasets, including third-party consumer and business data.
- Experience evaluating third-party or panel data quality: data dictionary review, sample audits, provenance and overlap checks.
- Feature engineering for downstream ML and embedding use.
- Clear written communication of quantitative findings to non-technical stakeholders.
Benefits
- Competitive Salary
- Dynamic Career Growth
- Idea Tanks
- Growth Chats
- Snack Zone
- Recognition & Rewards
- Fuel Your Growth Journey with Certifications
To apply for this job please visit jobs.smartrecruiters.com.
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