Científico de Datos Proficient (México)

Científico de Datos Proficient (México)

03 nov
|
Importante empresa
|
México

03 nov

Importante empresa

México

Requirements

Required – Technical Skills

- Advanced proficiency in Python and Data Science libraries such as Scikit-Learn, XGBoost, LightGBM, Pandas, Polars, Statsmodels, and SciPy.
- Strong experience in Machine Learning, statistical analysis, model validation, hypothesis testing, and causal inference.
- Advanced knowledge of SQL, PySpark, and large-scale data processing.
- Experience working with cloud-based data environments, including Google Cloud Storage (GCS) and Azure Blob Storage.
- Knowledge of software development best practices, including Git, modular coding, technical documentation, experiment tracking, and MLflow.

Required – Soft Skills

- Strong analytical and problem-solving skills.
- Ability to communicate complex findings to both technical and non-technical audiences.
- Critical thinking and data-driven decision-making mindset.
- Strong collaboration and teamwork skills.
- Ability to work independently and manage multiple priorities.

Nice to Have (Technical Skills)

- Experience with TensorFlow or PyTorch for Deep Learning projects.




- Knowledge of Generative AI, Large Language Models (LLMs), and Agent-based systems.
- Experience deploying analytics and Machine Learning solutions in cloud environments.

Responsibilities (Activities to Perform)

· Machine Learning & Predictive Modeling

· Data Analysis & Exploration

· Experimental Design & Hypothesis Testing

· Feature Engineering

· Business Analytics & Problem Solving

· Analytical Insights & Stakeholder Communication

· Model Validation & Monitoring

· Data Quality, Reliability & Reproducibility

Required Languages

- English: Upper-Intermediate (B2)

Additional Information

Location

- Colombia (Remote)

Special Conditions

- Experience in Machine Learning and statistical modeling is mandatory.
- Experience working with large-scale datasets and cloud-based storage environments is required.
- Familiarity with MLOps practices and experiment tracking tools is highly valued.

📌 Científico de Datos Proficient (México)
🏢 Importante empresa
📍 México

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