Data Analysis and Modeling: Design and implement statistical models and machine learning algorithms to analyze data and predict outcomes. Data Collection and Processing: Gather data from various sources, clean and preprocess it for analysis. Visualization and Reporting: Create dashboards and visualizations to communicate findings to stakeholders and support executive decision-making. Collaboration: Work closely with cross-functional teams, including IT, marketing, and customer service, to understand business needs and deliver data-driven solutions. Research and Development: Stay updated with the latest industry trends and technologies in data science and apply them to improve processes and products. Technical Proficiency: Strong knowledge of programming languages such as Python, R, and SQL. Experience with data visualization tools like Tableau or Power BI. Statistical Analysis: Proficient in statistical methods and tools for data analysis. Machine Learning:



Experience with machine learning frameworks and libraries such as TensorFlow, scikit-learn, or PyTorch. Data Management: Ability to handle large volumes of data and experience with data warehousing solutions. Business Insight: Strong understanding of business processes and the ability to translate data insights into actionable business strategies. Communication Skills: Excellent verbal and written communication skills to effectively convey complex data insights to non-technical stakeholders. Advanced Degree: A Master's or Ph.D. in Data Science, Statistics, Computer Science, or a related field. Experience: Previous experience in a similar role, preferably in the same industry. Certifications: Relevant certifications in data science or machine learning.

📌 Data Scientist Sr (Guadalajara)
🏢 Ntt Data
📍 Guadalajara