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# Data Scientist

- **Company:** Everforth Apex
- **Location:** Sunnyvale, CA, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Business Logic, Big Data, Python (Programming Language), Machine Learning, Performance Tuning, Recommender Systems, Search Technologies, Google Cloud, Feature Engineering, Databricks
- **Published:** September 17, 2026
- **Apply:** https://www.dice.com/job-detail/c41950a9-f377-444f-8317-76ee201b7cc0

## About the Role

Experience: 5+ years of experience in Data Science, Machine Learning, Applied Research, or Analytics. Experience developing and deploying machine learning models at scale. Experience with one or more of the following: Search systems, Recommendation systems, Ranking algorithms, Personalization engines, Advertising technology, Marketing technology, or Campaign optimization. Experience analyzing large-scale datasets and translating insights into business outcomes.

Technical Skills: Strong proficiency in Python., * Experience in AdTech, Retail Media, Digital Marketing, or E-commerce.

 * Familiarity with embeddings, vector search, semantic retrieval, and modern ranking methodologies.
 * Experience working with Databricks and Google Cloud Platform.
 * Experience supporting global or multi-market product deployments.
 * Exposure to experimentation frameworks, incrementality measurement, and causal inference techniques.

## Description

* Analyze existing machine learning models and algorithms to understand design decisions, assumptions, and business logic.
 * Adapt and customize established capabilities for new business units and geographic markets.
 * Evaluate model performance in new environments and recommend optimization strategies.
 * Collaborate with engineering teams to integrate solutions into production environments.
 * Provide subject matter expertise on model behavior, feature engineering, and performance tuning.
 * Assist in transforming single-tenant ML capabilities into scalable multi-tenant solutions.
 * Collaborate with product, engineering, and platform teams to identify required architectural enhancements.
 * Evaluate model portability and business-rule dependencies across markets.
 * Work with international stakeholders to ensure solutions meet regional requirements.
 * Support long-term roadmap planning and capability expansion initiatives.


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