13 ago
|
All The Hires
|
Barcelona
13 ago
All The Hires
Barcelona
Our customer is a product company with a truly general presence, specializing in mobile app monetization. They provide a platform that helps developers grow their businesses through intelligent mediation and cutting‑edge data tools, building history‑defining solutions for the mobile industry.
Location:
Barcelona, Spain
Position:
Data Scientist / ML Engineer
Type:
Full‑Time
Workplace:
On‑Site
What You’ll Drive
Optimize Ad Efficiency: Design and deploy end‑to‑end models that directly improve ad targeting, bid strategies, and campaign ROI.
Scale Intelligent Systems: Develop high‑performance data science solutions from initial analysis through to production‑ready deployment.
Uncover Trends: Independently analyze massive datasets to identify patterns that drive business decisions and product innovation.
Enhance Pipelines: Maintain and optimize existing ML models and data pipelines to ensure efficiency within the fast‑moving ad‑tech ecosystem.
Bridge Tech and Business:
Translate complex technical requirements into data‑driven insights that non‑technical stakeholders can act upon.
Who You Are
AdTech Expert: 2+ years of experience specifically within the ad‑tech domain or a closely related field.
Experienced Engineer: 3+ years of professional experience in data science, ideally within a product‑focused company.
Python & SQL Specialist: Highly proficient in Python and SQL, with hands‑on experience using PySpark and Pandas.
ML Practitioner: Proven track record of training DNN models using PyTorch and managing workflows with Hydra or Comet.
Cloud Native: Comfortable working with AWS cloud services to deploy and manage data solutions.
How You’ll Work
You will be an integral part of the Data Science team in Barcelona, working in a cross‑functional environment alongside both technical and business teams. This role requires a balance of independent problem‑solving and deep collaboration to ensure models align with dynamic market trends. You’ll own projects from de
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