We are seeking a Senior Data Scientist to strengthen the Data Science department at EPAM Georgia.

Our data specialists work in all ML\DS areas: Tabular, CV, NLP, RecSys, Time Series, and MLOps. We are helping world-famous companies to build machine learning pipelines, check business hypotheses and utilize SoTA models.
Thrive in our dynamic work environment by joining us at our conveniently located, well-equipped office in Tbilisi .

#LI-DNI#LI-ML1

Responsibilities

• Transform business problems into data science solutions
• Build small PoC or large-scale production ML systems
• Manage data scientists and be a guiding star for them
• Help to develop our data science community

• 3+ years of production experience in Data Science and 1+ year as a DS team lead
• Expertise in at least one field: CV, NLP, RecSys, Time Series, MLOps
• Competency in Python (NumPy / SciPy / scikit-learn / pandas / Matplotlib)
• Familiarity with Deep Learning (PyTorch, Tensorflow, Keras)
• Skills in Data Science solutions productionalization
• English level: B2 or higher

• Experience with Cloud services (AWS SageMaker, GCP Vertex, Azure ML Studio)

• We connect like-minded people:
  • Delivering innovative solutions to industry leaders, making a global impact
  • Enjoyable working environment, whether it is the vibrant office or the comfort of your own home
  • Opportunity to work abroad for up to two months per year
  • Relocation opportunities within our offices in 50+ countries
  • Corporate and social events
• We invest in your growth:
  • Leadership development, career advising, soft skills and well-being programs
  • Certifications, including GCP, Azure and AWS
  • Unlimited access to LinkedIn Learning, Get Abstract, O'Reilly, Cloud Guru
  • Free English classes with certified teachers
• We cover it all:
  • Participation in the Employee Stock Purchase Plan
  • Monetary bonuses for engaging in the referral program
  • Comprehensive medical & family care package
  • Five trust days per year (sick leave without a medical certificate)
  • Benefits package (sports activities, a variety of stores and services)