Senior Data Scientist

Anthology Careers

full-time

Posted on: 9/8/2025

Location: 🇨🇴 Colombia

✨ AI Apply

Senior

AWSAzureNumpyPythonScikit-LearnSQLTensorflow

About the role

Prototyping of complex AI and ML based solutions for our products and custom AI/ML model development, training and evaluation
Participation in client-facing user research in order to gather feedback on prototypes
Interfacing with engineering teams from Anthology and helping them to take advantage of our own and external AI/ML models, as well as, advance analytics in their products
Exploration and statistical analysis of data to support internal company decisions and to demonstrate our thought leadership in the EdTech space
Working with our partners (AWS, Microsoft, Snowflake, and others) in order to grow and improve our AI/ML toolbox and knowledge
Occasional travel within to the U.S. or Europe may be required

5-8 years of professional experience
Proficiency in common Python libraries for analysis of data and machine learning (Numpy, Scikit-learn, Torch, TensorFlow, etc.)
Deep understanding of wide variety of ML models and techniques
Ability to create robust high-quality Python code that adheres to best practices such as thorough unit testing
Proven track record of successfully designing, developing and deploying custom complex AI/ML solutions
Strong knowledge of SQL and experience with data lake technologies
Familiarity with Amazon Web Services
Strong experience working with Git
Experience with CI/CD technologies (GitHub actions, AWS CodePipeline, etc.)
Experience working with R
Excellent communication skills, with the ability to explain complex concepts to non-technical audiences and mentor junior team members
Fluency in written and spoken English at CEF B2 level or above
Preferred: Experience with Amazon SageMaker and Amazon Bedrock
Preferred: Knowledge of Data Version Control and Continuous Machine Learning
Preferred: Experience with Azure
Preferred: Experience with Snowflake, Snowpark and Snowflake Cortex
Preferred: Significant engineering experience, especially in the area of data engineering
Preferred: Experience with research, research study design and scientific publishing