Brillio 2

Data Scientist - R01562490

Guadalajara, Jalisco, Mexico April 8, 2026 Lever
Data Scientist
Data Scientist

Primary Skills

  • Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic), Python/PySpark, SAS/SPSS, Statistical analysis and computing, Probabilistic Graph Models, Great Expectation, Evidently AI, Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Tools(KubeFlow, BentoML), Classification (Decision Trees, SVM), ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), R/ R Studio

    • Specialization

  • Data Science Advanced: AI/ML Engineer

    • Job requirements

  • Qualifications
  • Bachelor's or Master's degree in Computer Science, Data Science, or a related field with 3-5 years’ experience o 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). o 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.
  •  
  • Job Description & Responsibilities Data Pipeline Development:
  • 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. Data Modeling and Integration:
  • 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. Machine Learning Implementation:
  • 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). Data Infrastructure Management
  • 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. 
    • Apply on company site

    How to Get Hired at Brillio 2

    • Tailor your resume for each Brillio role by matching the exact technology keywords from the job description — Azure Data Factory, Microsoft Fabric, Power BI, Snowflake, and PySpark appear across many current openings, and Lever's search algorithms rely on precise keyword matches.
    • Position yourself as a consultant, not just a technician — highlight client-facing experience, stakeholder communication, and business outcome delivery in your resume and interview responses, since Brillio's model demands both technical depth and consulting soft skills.
    Read the full guide

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