Senior Data Science (Strong AI/ML)

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  • year-experience +5 years place México/LATAM contract Remote/Full Time
Description:

We are looking for a skilled and proactive Data Scientist with strong data engineering capabilities to design and implement advanced machine learning solutions. The ideal candidate will be responsible for creating scalable data pipelines, handling complex time-series datasets, and deploying ML models that address real-world challenges in financial data analysis.

What will you do?

  • Data Engineering & Pipelines

    • Design, build, and maintain robust and scalable data pipelines and ETL workflows.

    • Ensure data quality, accuracy, and integrity across multiple data sources.

    • Manage data warehousing environments, with a focus on Snowflake.

  • Time-Series Data Handling

    • Work extensively with financial and economic time-series data.

    • Perform preprocessing, anomaly detection, and feature engineering for time-series analysis.

    • Apply and optimize time-series forecasting models.

  • Machine Learning Development

    • Build, test, and deploy machine learning models aligned with business objectives.

    • Use appropriate ML frameworks (e.g., TensorFlow, PyTorch, XGBoost, LightGBM, scikit-learn).

    • Conduct A/B tests and validate model performance with clear metrics.

  • Algorithm Optimization

    • Improve model performance and scalability by implementing optimization techniques.

    • Reduce computational costs while maintaining accuracy and robustness.

  • Production Integration

    • Collaborate with software engineers to integrate models into production-grade systems.

    • Ensure model deployments are scalable, secure, and maintainable.

  • Continuous Innovation

    • Stay current with trends and best practices in ML, data engineering, and financial data modeling.

    • Identify and evaluate new tools and technologies for potential integration.

Requirements:
  • Master’s degree in Computer Science, Engineering, Mathematics, or related field.
  • 4+ years of experience in data science, machine learning, or related roles.
  • Strong Python programming skills and familiarity with major ML libraries such as scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, NumPy, and Pandas.
  • Solid experience with ETL pipeline development, API integration, and working with SQL/NoSQL databases (particularly Postgres).
  • Hands-on experience with Snowflake for data warehousing.
  • Strong knowledge of statistical modeling, data mining, and data visualization techniques.
  • Proficient with version control tools like Git.
  • Strong understanding of data science fundamentals, machine learning workflows, and model validation.
  • Familiarity with big data technologies such as Apache Spark, Hadoop, or similar.
  • Strong cloud experience with AWS; certifications (e.g., SA, DE, Dev) are a plus.
  • Experience with Docker and Terraform is preferred.
  • Background in FinTech, crypto, or financial markets.
  • Understanding of ML deployment and rollout processes.
  • Industry experience in FinTech, crypto, or financial markets is a strong advantage.
  • Excellent analytical thinking, attention to detail, and problem-solving skills.
  • Advanced English, speaking and writing.
WHY WORK WITH US?