Implement machine learning models developed by the Data Science Team

Analyze model requirements and align them with model structures using Excel

Develop Python scripts to support model implementation and data processing

Write and optimize SQL queries for data extraction and manipulation

Collaborate with team members to ensure successful deployment of models on AWS infrastructure

Maintain documentation of model development and implementation processes

Communicate effectively with stakeholders to clarify requirements and provide updates

Test and debug code to ensure high-quality deliverables

Monitor performance of deployed models and suggest improvements

Support data integration using Snowflake and Oracle databases

Participate in code reviews to maintain code quality standards

Stay updated with latest technologies relevant to data science and cloud computing

Proven experience working in a Data Science or Data Analytics role for at least 2 years

Expert-level Python programming skills, including Pandas experience

Expertise in SQL

Advanced experience with AWS services such as Step Functions, Lambda, serverless architectures, and ECS

Intermediate experience with Snowflake and Oracle databases

Experience implementing machine learning models is a plus

Strong communication skills to collaborate with the team and clients

Ability to analyze and align requirements with technical implementations

Proficiency in the English language at B2 (Upper-Intermediate) level or higher

Experience with machine learning model deployment

Familiarity with Excel for data analysis and requirement alignment

Knowledge of serverless computing best practices

Understanding of cloud security principles

Certification in AWS or data science related fields