We are seeking a Data Scientist to join our growing team focused on transforming client data into actionable insights and scalable business solutions. In this role, you will work directly with clients, stakeholders, and cross-functional teams to collect, integrate, automate, validate, and analyze data from diverse sources such as databases, spreadsheets, enterprise systems.

This opportunity is idóneo for professionals who enjoy solving complex business problems through data, have strong analytical skills, and are passionate about leveraging modern data technologies, artificial intelligence, and advanced analytics to drive measurable outcomes for clients.

What You'll Do

- Gather, integrate, and transform data from multiple sources including SQL databases, Excel files, APIs, cloud platforms, ERP systems, and other enterprise applications.
- Design and develop robust data pipelines and data preparation processes to ensure data quality, consistency, and availability.
- Analyze structured and unstructured datasets to identify trends, patterns, and business opportunities.
- Develop predictive models, machine learning solutions, and advanced analytics frameworks to support client decision-making.
- Create insightful dashboards, visualizations, and reports using modern BI and analytics tools.
- Support the adoption of Artificial Intelligence and Generative AI solutions by preparing and optimizing datasets for AI-driven applications.




- Present findings and recommendations to technical and non-technical audiences through clear and effective communication.

Qualifications

- Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Information Technology, or a related quantitative field.
- Minimum of 3+ years of experience in Data Science, Data Analytics, Data Engineering, or a related role.
- Strong experience working with:
- Python (Pandas, Num Py, Scikit-Learn, PySpark, or similar libraries)
- SQL and relational databases
- Data extraction, transformation, and loading (ETL/ELT) processes
- Data modeling and data preparation techniques
- Experience integrating data from multiple sources including: Databases (SQL Server, Oracle, PostgreSQL, MySQL, Excel and CSV files)
- Experience with cloud platforms such as Microsoft Azure, AWS, or GCP.
- Knowledge of machine learning techniques, statistical analysis, and predictive modeling.
- Understanding of data governance, data quality, and data security best practices.

- Excellent verbal and written communication skills.
- Advanced English proficiency.

Why Join Us?

Contribute to the development of innovative data-driven solutions that create measurable business value.

While the position is primarily based in Mexico City, we are also open to candidates residing in Guadalajara.

📌 Data Scientist (México)
🏢 Pwc
📍 México