Data Scientist

Job Overview: The Data Scientist will analyze and interpret complex data sets, develop predictive models, provide actionable insights, and enable data-driven decisions across the organization. The role involves applying advanced statistical analysis, machine learning techniques, and data visualization skills to support strategic business objectives. Key Responsibilities: Data Analysis & Interpretation: Extract, clean, and analyze large-scale structured and unstructured datasets. Perform exploratory data analysis (EDA) to discover insights, identify patterns, and recommend solutions. Model Development & Deployment: Develop, test, and deploy robust predictive models using machine learning, deep learning, and statistical techniques. Continuously optimize and validate model performance and accuracy. Visualization & Reporting: Develop intuitive visualizations, dashboards, and reports to effectively communicate insights to stakeholders. Clearly articulate findings and recommendations to both technical and non-technical audiences. Collaboration & Communication: Collaborate cross-functionally with data engineers, business analysts, and stakeholders to understand requirements and deliver solutions. Document methodologies, processes, and findings comprehensively. Innovation & Improvement: Remain current with emerging trends, technologies, and methodologies in data science and machine learning. Proactively identify opportunities for process improvement and efficiency enhancements. Required Skills & Qualifications: Technical Skills: Strong proficiency in Python (required, minimum 3 years), SQL, and optionally R. Experience with data manipulation and modelling frameworks (pandas, NumPy, scikit-learn, TensorFlow, PyTorch). Familiarity with data visualization tools such as Tableau, Power BI, matplotlib, and seaborn. Experience with cloud data platforms, particularly Snowflake (preferred). Familiarity with data integration tools, particularly Talend (preferred). Analytical & Problem-Solving: Advanced statistical knowledge, including regression, hypothesis testing, predictive modelling, and machine learning. Excellent analytical thinking, problem-solving, and troubleshooting abilities. Communication & Collaboration: Strong communication skills, able to present complex technical topics clearly to diverse audiences. Proven ability to collaborate effectively within cross-functional teams. Preferred Qualifications: Experience with NLP, computer vision, and advanced deep learning techniques. Experience working in Agile environments, with version control (e.g., Git). Demonstrated experience with business intelligence workflows and tools. Expected Outcomes: Improved organizational decision-making capabilities through actionable insights. Enhanced operational efficiency and business outcomes through predictive modelling and automation. Significant contributions toward building robust analytics and data science capabilities within the organization.

Location: Mexico City Metropolitan Area, MX

Posted Date: 7/6/2025