Data Scientist

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 Data Scientist is responsible for analyzing large sets of structured and unstructured data to derive actionable insights. This role involves using advanced analytics, machine learning, and statistical methods to solve complex business problems and support decision‑making processes.

Key Responsibilities

• 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.

Required Skills and Qualifications

• 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.

Preferred Qualifications

• 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.