Data Scientist: Build AI Models & Insightful Dashboards

Pyramid Consulting, Inc; Región Centro; On-site; MXN 40,000 - 70,000; Full time

Job summary

A consulting firm is seeking a Data Scientist to analyze large datasets and provide actionable insights. Responsibilities include designing statistical models and algorithms, data collection, and creating visualizations. Candidates should have strong programming skills in Python, R, and SQL, as well as experience with machine learning and statistical analysis. An advanced degree in a related field is preferred, along with excellent communication capabilities for presenting insights to stakeholders.

Qualifications

• Strong knowledge of programming languages such as Python, R, and SQL.
• Experience with data visualization tools like Tableau or Power BI.
• Proficient in statistical methods and tools for data analysis.
• Experience with machine learning frameworks and libraries.
• Ability to handle large volumes of data with data warehousing solutions.
• Strong understanding of business processes and translating data insights.

Responsibilities

• Design and implement statistical models and machine learning algorithms.
• Gather and preprocess data from various sources.
• Create dashboards and visualizations to communicate findings.
• Collaborate with cross-functional teams to deliver data-driven solutions.
• Stay updated with latest trends and technologies in data science.

Skills

Python

R

SQL

Tableau

Power BI

Machine Learning

Statistical Analysis

Data Visualization

Data Management

Communication Skills

Education

Master's or Ph.D. in Data Science, Statistics, or Computer Science

Tools

TensorFlow

scikit-learn

PyTorch

Job description

A consulting firm is seeking a Data Scientist to analyze large datasets and provide actionable insights. Responsibilities include designing statistical models and algorithms, data collection, and creating visualizations. Candidates should have strong programming skills in Python, R, and SQL, as well as experience with machine learning and statistical analysis. An advanced degree in a related field is preferred, along with excellent communication capabilities for presenting insights to stakeholders.