Remote Data Scientist for Multi-Tenant AdTech ML

Apex Systems

Sunnyvale, Northern (CA, KY)

Hybrid

USD 69,000 - 110,000

Full time

10 days ago
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Benefits offered by this job

ESPP Program
401K matching
HSA Health Plan

Job summary

Everforth Apex Systems is seeking a Data Scientist in Sunnyvale, CA (Remote) to customize and scale ML solutions across markets. The role focuses on adapting models, understanding behavior, and driving performance improvements for multi-tenant platforms.

Ideal candidates have 5+ years in Data Science and strong Python skills, with experience in adtech/marketing tech and Databricks on GCP. Global deployments and collaboration with cross-functional teams are essential.

Qualifications

  • 5+ years in Data Science, ML, Applied Research, or Analytics.
  • Experience deploying ML models at scale.
  • Experience with Search, Recommendation, Ranking, Personalization, or Advertising/Marketing tech.

Responsibilities

  • Analyze existing ML models to understand design decisions and business logic.
  • Adapt and customize capabilities for new business units and geographic markets.
  • Evaluate model performance and recommend optimization strategies.
  • Collaborate with engineering to integrate solutions into production environments.
  • Transform single-tenant ML capabilities into scalable multi-tenant solutions.
  • Collaborate with product, engineering, and platform teams to identify architectural enhancements.

Skills

Python
Machine Learning
Data Analysis
Model Deployment
Team Collaboration

Tools

Databricks
GCP

Job description

Everforth Apex Systems is seeking a Data Scientist in Sunnyvale, CA (Remote) to customize and scale ML solutions across markets. The role focuses on adapting models, understanding behavior, and driving performance improvements for multi-tenant platforms.

Ideal candidates have 5+ years in Data Science and strong Python skills, with experience in adtech/marketing tech and Databricks on GCP. Global deployments and collaboration with cross-functional teams are essential.

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