Lead Data Scientist

EPAM Systems

Colombia

Presencial

COP 180.000.000 - 280.000.000

Jornada completa

Hace 4 días
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Ventajas ofrecidas por este puesto de trabajo

Healthcare benefits
Paid time off
Upskilling & certifications
Global career opportunities

Descripción de la vacante

EPAM Systems, a leading global provider of digital platform engineering, seeks a Lead Data Scientist to create AI-driven chatbot solutions using LLMs and Python. You will collaborate with product, analytics and engineering teams to build a shopping assistant chatbot end-to-end.

You will mentor development squads, implement prompt engineering, evaluate models for reliability, and ensure Responsible AI practices across cloud deployments. Strong English communication is required.

Formación

  • 5+ years of hands-on data science or applied AI experience.
  • At least 1 year of experience guiding and managing development teams.
  • Strong command of Large Language Models (LLMs).
  • Advanced Python for AI workflows integration and orchestration.
  • Experience building AI agents using function calling to access external tools/databases.
  • Solid handling of hallucination prevention methods.
  • Understanding of Responsible AI and compliance practices.
  • Experience in NLP and Conversational AI creation.
  • Fluent English communication at B2 level or above.

Responsabilidades

  • Collaborate with product, analytics, and engineering to design and improve a shopping assistant chatbot.
  • Shape and refine prompt engineering approaches to enhance chatbot quality.
  • Build LLM-driven agents interfacing with APIs, databases, and external services via function calling.
  • Evaluate model performance using rigorous methods and reduce hallucinations.
  • Apply A/B testing to progressively improve chatbot performance.
  • Embed Responsible AI and compliance in deployments.
  • Perform exploratory data analysis to derive data-driven requirements for data engineers.
  • Advise cloud engineering on infrastructure needs for AI-powered deployments.

Conocimientos

LLMs
Python
NLP
Conversational AI
English (B2+)

Educación

null

Herramientas

OpenAI APIs (Azure)
API integration
Cloud services
Function calling

Descripción del empleo

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

We are looking for a Lead Data Scientist with deep knowledge of Large Language Models (LLMs) and Python to create AI-driven chatbot solutions for targeted use cases.

Responsibilities
  • Team up with multidisciplinary groups spanning product, analytics, and engineering to design and improve a shopping assistant chatbot
  • Shape and fine-tune prompt engineering approaches to raise the quality of chatbot conversations
  • Build LLM-driven agents that interface with APIs, databases, and external services via function calling
  • Protect chatbot dependability and reduce hallucinations by applying rigorous model evaluation methods
  • Use A/B testing frameworks to assess and progressively elevate chatbot performance
  • Embed Responsible AI and compliance principles to ensure ethical operation and regulatory conformity
  • Carry out exploratory data analysis (EDA) to surface insights and convert them into well-defined requirements for the data engineering team
  • Advise cloud engineering teams on the infrastructure requirements essential to AI-powered chatbot deployments
Requirements
  • No less than 5 years of hands-on professional experience in data science or applied AI positions
  • At least 1 year of experience guiding and managing development teams
  • Strong command of Large Language Models, including practical work with OpenAI APIs on Azure
  • Advanced Python programming abilities for integrating, orchestrating, and refining AI workflows
  • Track record of building AI agents that use function calling to engage with external tools and databases
  • Solid grasp of hallucination prevention methods to preserve chatbot precision and dependability
  • Firm understanding of Responsible AI and compliance best practices, along with ethical AI standards
  • Demonstrated experience in Natural Language Processing (NLP) and Conversational AI creation
  • Confident English communication skills at B2 level or above, in both writing and speech
Nice to have
  • Practical background in A/B testing and experimentation, working closely alongside analytics teams
  • Skill in defining and executing a testing strategy grounded in key performance indicators specific to chatbot solutions
  • Proficiency in exploratory data analysis (EDA) for drawing valuable insights from sizable datasets
  • Aptitude for producing clear, structured data specifications for the data engineering team
  • Familiarity with cloud services, whether through direct hands‑on work or by outlining infrastructure requirements for cloud engineering teams
We offer
  • International projects with top brands
  • Work with global teams of highly skilled, diverse peers
  • Healthcare benefits
  • Employee financial programs
  • Paid time off and sick leave
  • Upskilling, reskilling and certification courses
  • Unlimited access to the LinkedIn Learning library and 22,000+ courses
  • Global career opportunities
  • Volunteer and community involvement opportunities
  • EPAM Employee Groups
  • Award‑winning culture recognized by Glassdoor, Newsweek and LinkedIn

EPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.

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