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Senior Data Scientist

EPAM Systems

Hybrid Senior 🇬🇧 English
Python PySpark SQL Excel Databricks AWS Machine Learning Clustering Regression Classification Deep Learning Natural Language Processing Generative AI MLOps

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About the role

We are looking for a Senior Data Scientist to join our growing product data‑science team. You will design, develop and maintain machine‑learning models and pipelines that power advertising‑trading recommendations and improve operational efficiency.

Key responsibilities

  • Translate product requirements into end‑to‑end data‑science solutions and manage development pipelines.
  • Take full ownership of data‑science development across multiple product features.
  • Collaborate closely with engineering and commercial stakeholders throughout the lifecycle.
  • Identify high‑impact ML features, turn them into product functionalities, and evaluate associated risks.
  • Communicate proactively with project managers, resolve technical challenges and propose enhancements.
  • Support the team lead by recommending code and feature optimisations to reduce processing and storage costs.
  • Consider compute and storage expenses during code reviews and ensure logical consistency.
  • Assist in onboarding and mentoring new team members on technical skills.

Required profile

  • Minimum 3 years of experience in data‑science projects.
  • Strong knowledge of machine‑learning techniques (clustering, regression, classification, deep learning).
  • Experience with Databricks or similar notebook environments.
  • Proficiency in Python and PySpark for large‑scale data processing.
  • Advanced SQL skills and intermediate Excel proficiency.
  • Ability to translate business needs into effective data‑science solutions.
  • Experience in exploratory data analysis, feature engineering, and big‑data environments.
  • Familiarity with AWS or other cloud platforms for deploying pipelines and models.
  • Knowledge of NLP, generative AI and MLOps.
  • Strong written and verbal English communication (B2+).

Required skills

  • Python
  • PySpark
  • SQL
  • Excel
  • Databricks
  • AWS (or other cloud)
  • Machine Learning (clustering, regression, classification, deep learning)
  • Natural Language Processing
  • Generative AI
  • MLOps

What we offer

  • Remote and hybrid work opportunities with an option to work from our Athens office.
  • Corporate laptop and private health insurance.
  • Meal vouchers / restaurant tickets and a benefit card (264 €/year).
  • Monthly public‑transportation card.
  • Exposure to global, diverse client portfolio and large‑scale projects.
  • Multicultural, multilingual environment with cutting‑edge technologies.

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EPAM Systems