Senior Data Scientist

Location-specific conditions & benefits*

Colombia

We are seeking a highly experienced Senior Data Scientist to join our remote team. You will work closely with cross-functional teams to design and implement data-driven solutions that drive business growth and innovation. The ideal candidate will have a strong background in data science, machine learning, and deep learning frameworks, with a proven track record of delivering impactful results.

Responsibilities

Lead the development of machine learning models and data-driven solutions that drive business growth and innovation
Collaborate with cross-functional teams to identify opportunities for machine learning and data science solutions
Design, implement, and deploy machine learning models using industry best practices
Monitor and maintain the performance and accuracy of machine learning models in production
Conduct exploratory data analysis and feature engineering to develop insights and improve model performance
Stay up-to-date with the latest advancements in machine learning and data science to ensure the company remains at the forefront of innovation

Requirements

3+ years of experience as a Data Scientist
Expertise in machine learning model development, deployment, and monitoring
Strong programming skills in Python and experience with related libraries such as Pandas
Experience with SQL and database technologies such as Snowflake
Expertise with Apache Spark and Amazon Web Services, including Databricks
Familiarity with Elasticsearch and other big data technologies
Ability to communicate complex ideas and analysis to technical and non-technical stakeholders
Fluent English language skills with an upper-intermediate level

Nice to have

Experience with natural language processing (NLP) and computer vision (CV) technologies
Expertise in data visualization and dashboard creation
Familiarity with containerization technologies such as Docker and Kubernetes
Experience with distributed systems and parallel computing
Knowledge of cloud computing platforms such as Google Cloud Platform and Microsoft Azure

Benefits

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