Data Scientist

EPiC

Αθήνα
Μόνιμη
Πλήρης Απασχόληση

Πριν 8 ώρες

About The JobWhat makes us who we are today…At EPiC we develop innovative and creative products and services that provide total communication and information solutions. Among a plethora of services, web design and development, tailor-made applications, business-to-business applications, business-to-client applications, are few that we offer. Satisfied clients in Greece and Ireland bear testimony to the quality of our work.The general purpose of EPiC is to develop and promote advanced information technologies for multi-user operation.EPiC business philosophy is to assure the highest quality product, total client satisfaction, timely delivery of solutions and the best quality/price ratio found in the industry. Our emphasis is on offering a high degree of product user friendliness through a positive, creative and focused company staff.The RoleWe are looking for a Data Scientist to design, implement, and optimize data-driven solutions by combining traditional statistical methods, machine learning, and Large Language Model (LLM) engineering. The ideal candidate will bridge advanced AI capabilities with business needs, delivering scalable insights and intelligent applications through modern data architectures.Responsibilities

Design and develop advanced analytics solutions leveraging statistical methods, machine learning, and large language models (LLMs).
Build and optimize data pipelines for analytics, integrating data from multiple sources.
Engineer and fine-tune LLMs, applying them to real-world business and analytical challenges.
Design and expose APIs and microservices to operationalize AI/ML models.
Collaborate with cross-functional IT and business teams to deliver actionable insights.
Ensure scalability, security, and reliability of deployed analytics solutions.

Requirements

4+ years of experience as a Data Scientist (Journeyman Level, IBM Taxonomy).
Strong proficiency in Python.
Hands-on experience with MongoDB.
Proven knowledge of LLM Engineering (designing, fine-tuning, deploying large language models).
Experience with Git for version control.
Familiarity with service and API design.
Understanding of payment systems and/or microservice architectures.
Hands-on experience with Docker and Continuous Deployment pipelines.
Experience with Stat Suite or other statistical frameworks.

Nice to Have

Knowledge of AI/ML techniques and frameworks.
Hands-on experience with OpenAI / ChatGPT for applied solutions.
SDMX know-how (metadata, APIs, data modeling).
Familiarity with diagramming frameworks for system and data architecture.

Benefits

An attractive compensation package
Monthly Vouchers
Private Insurance Plan

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