Data Scientist
Tiempo Development
Mexico, Nuevo Leon, Monterrey
hace 1 día

About Us :

Tiempo Development creates unique, powerful software and provides supporting services for innovative enterprises. Tiempo is headquartered in Tempe, Arizona, and maintains four large development centers in Mexico for U.

S. companies who choose to outsource their software development needs.

She / he will develop machine learning solutions as part of a collaborative agile team, contributing quality code, pipeline architecture, and ideas.

The role requires excellent data science, machine learning engineering, and AWS architecture skills, as well as a high level of verbal and written communication.


  • Experience with Python, object-oriented programming, and test-driven development
  • Experience using Jupyter notebooks and common data science libraries (NumPy, Pandas, Matplotlib)
  • Experience using TensorFlow, PyTorch, and / or MXNet
  • Experience using Amazon SageMaker
  • Experience developing end-to-end machine learning workflows and implementing machine learning engineering best practices
  • Experience identifying Data science use cases based on domain knowledge of the business operations / processes
  • Experience with feature selection and dataset scoping for individual data science use cases by using SQL to query large relational databases, such as SQL Server, PostgreSQL, or AWS Aurora Experience with data preprocessing and feature engineering of structured datasets
  • Strong understanding how learning rate, batch size, L1 / L2 regularization, network size, and other hyperparameters affect loss functions and model performance
  • Experience defining, selecting and optimizing proper model accuracy metrics, such as precision, recall, F1 score, and AUC Experience with software engineering best practices, such as modularization, optimization, unit testing, proper documentation, logging, code commits / reviews, and clean code best practices
  • Experience with Agile Scrum methodology Experience using Docker and ECR to containerize machine learning models as SageMaker estimators
  • Experience deploying machine learning and data science models to production as serverless microservices using AWS API Gateway and AWS Lambda Experience with real-time / batch inference and online / offline inference
  • Demonstrate a portfolio of end-to-end data science based solutions
  • Excellent written, verbal and interpersonal communication skills
  • Benefits

    What’s in it for you?

  • Career plan that will let you grow and plan for the future
  • 22+ days per year starting from day one
  • 15 days of Christmas bonus
  • Bonus
  • Food coupons
  • Major medical insurance
  • Law benefits : IMSS, Afore, Infonavit
  • Trainings and certification plans
  • Relocation support if needed
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