Position Objective

Design, develop, and implement advanced analytical models, machine learning algorithms, and AI-driven solutions to transform large volumes of data into strategic insights, improve decision-making, optimize business processes, and generate measurable business value.

Key Responsibilities
- Analyze large structured and unstructured datasets to identify patterns, trends, risks, and opportunities.
- Design, train, validate, and deploy predictive, prescriptive, and machine learning models.
- Develop advanced analytics and artificial intelligence solutions aligned with business objectives.
- Translate business problems into analytical frameworks and data-driven solutions.
- Define metrics, methodologies, and experiments to evaluate model performance and business impact.
- Collaborate with business, technology, data engineering, and product teams to implement scalable solutions.
- Build and optimize data pipelines and model deployment workflows.
- Ensure data quality, consistency, and reliability for analytical initiatives.

Education Requirements




- Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Physics, Economics, Actuarial Science, or a related field.
- Master’s degree or PhD in Data Science, Artificial Intelligence, Machine Learning, Statistics, Operations Research, or a related discipline is preferred.

Required Experience
- 5 to 8+ years of experience in data science, advanced analytics, machine learning, or related roles.
- Proven experience developing and deploying machine learning models in production environments.
- Experience working with large-scale datasets and cloud-based data platforms.
- Experience leading high-impact analytics or AI projects.
- Strong experience working with business stakeholders and executive audiences.

Technical Skills
- Advanced proficiency in Python
- Strong knowledge of libraries and frameworks such as:
- Pandas
- NumPy
- Scikit-learn
- TensorFlow
- PyTorch
- XGBoost
- Li

📌 Expert Data Scientist (México)
🏢 Confidential Careers
📍 México