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We are seeking a Data Science to support data analysis and modeling. The ideal
candidate is highly proficient in Python and modern data-science tools, with hands-on
experience deploying and managing models in AWS SageMaker. The role involves working with
potentially messy datasets, building reproducible pipelines, and delivering actionable insights.
Experience with travel or mobility data is a strong plus.
Responsibilities
Develop, test, and deploy data-science models and pipelines using Python and AWS
SageMaker.
● Perform data preparation, feature engineering, exploratory analysis, and model
evaluation.
● Create production-ready code and documentation for reusable workflows.
● Collaborate with internal teams to translate requirements into analytical solutions.
Required Skills
● Strong proficiency in Python and common data-science libraries (e.g., pandas, NumPy,
scikit-learn, PyTorch/TensorFlow).
● Hands-on experience with AWS SageMaker, including training, tuning, and deploying
models.
● Ability to work independently and deliver high-quality results on tight timelines.
Preferred
● Experience with travel, mobility, or geolocation datasets.
● Familiarity with AWS data services (S3, Lambda, Step Functions)
Job Type: Full-time
Work Location: Remote
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