Brillio

Data Scientist

Brillio

full-time

Posted on:

Location Type: Hybrid

Location: Guadalajara • Mexico

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Tech Stack

AirflowApacheAWSAzureBigQueryCloudEC2ETLGoogle Cloud PlatformNoSQLNumpyPandasPythonPyTorchScikit-LearnSparkSQLTensorflow

About the role

  • Design, develop, and maintain scalable and efficient data pipelines to collect, clean, and transform large volumes of data.
  • Collaborate with software engineers and other stakeholders to understand data requirements and implement effective solutions.
  • Ensure data pipelines are robust, reliable, and optimized for performance.
  • Design and implement data models that support the storage, retrieval, and analysis of structured and unstructured data.
  • Integrate and consolidate data from various sources, both internal and external, to create a unified and comprehensive data ecosystem.
  • Ensure data integrity and accuracy through data quality assessments, cleansing, and validation techniques.
  • Optimize and enhance machine learning algorithms for performance, scalability, and accuracy.
  • Implement data preprocessing, feature engineering, and model training workflows using Python and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
  • Configure and maintain cloud-based infrastructure for data storage, processing, and analysis.
  • Monitor and troubleshoot data-related issues, ensuring high availability and reliability of data systems.
  • Stay up-to-date with emerging technologies, tools, and best practices in data engineering, AI, and ML.

Requirements

  • Bachelor's or Master's degree in Computer Science, Data Science, or a related field with 3-5 years’ experience
  • Proven experience as a Data Engineer or similar role, with a focus on AI/ML projects.
  • Strong proficiency in Python programming and experience with relevant libraries and frameworks (e.g., pandas, NumPy, scikit-learn, TensorFlow, PyTorch).
  • Solid understanding of data engineering concepts, data modeling, and database systems (e.g., SQL, NoSQL).
  • Experience with data integration and ETL tools (e.g., Apache Airflow, Apache Spark, Talend).
  • Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and related services (e.g., S3, EC2, BigQuery).
  • Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data pipelinesdata modelingdata integrationETLmachine learningdata preprocessingfeature engineeringPythonSQLNoSQL
Soft Skills
problem-solvingcollaboration
Certifications
Bachelor's degreeMaster's degree