Data Scientist developing and implementing LLM - based agents and leveraging AI techniques to improve client value. Collaborating on project challenges in a dynamic, start - up environment at Gartner.
About the role
- Data Scientist developing data pipelines and machine learning algorithms in an AI-focused team. Collaborating with engineers to drive data-driven insights in Guadalajara, Jalisco, Mexico.
Responsibilities
- 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.
Job title
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