Data Scientist II

This is a fully remote position, open to applicants in Mexico.

📋 Description

• Conduct research, design, develop, implement, and test econometric, statistical, optimization, and machine learning models.

• Acquire a comprehensive understanding of the PPM (Portable People Meter) sampling methodology and become a specialist in Audience Measurement, particularly in panel management strategies.

• Extract data from extensive relational databases for various analyses and inquiries.

• Leverage tools such as Python, Tableau, R, etc., to execute complex data analyses and create visualizations.

• Supervise, maintain, and enhance multiple data algorithms for managing the PPM Sample Methodology in a time-sensitive production setting.

• Regularly maintain and update documented departmental procedures, checklists, and metrics thoroughly and promptly.

• Participate in various interdepartmental teams to propose, assess, and implement new initiatives, and engage in other vital projects. This includes assisting with requirement documentation, software development, and testing.

• Address various requests from internal and external clients, delivering data-driven solutions to the challenges presented.

• Implement quality checks to proactively identify and rectify errors throughout production processing and analysis.

• Ensure product quality, stability, and scalability by facilitating code reviews and promoting best practices such as modular coding, unit testing, and incorporating CI/CD workflows.

⛳️ Requirements

• Bachelor’s Degree or higher in Mathematics, Statistics, Computer Science, Data Science, Data Engineering, or a related field.

• 3+ years of professional experience in Statistics, Data Science, and/or related fields, focusing on delivering analytical software solutions in a production environment.

• 3+ years of experience in the following areas:

• Manipulating, analyzing, and interpreting complex data sources to derive insights through analysis.

• Programming in Python, PySpark, and SQL for developing data pipelines that support analytics.

• Data visualization using Tableau and/or similar tools.

• Experience working in cloud-based environments such as AWS.

• Familiarity with DevOps tools, code management, and CI/CD workflows utilizing Gitlab or comparable tools.

• Project management skills, including the ability to prioritize multiple assignments effectively.

• Strong organizational skills, clear communication abilities, and the capacity to manage multiple competing priorities in a fast-paced setting.

• Willingness to embrace innovation, explore new solutions, and commit to rapid iteration based on customer feedback.

• Demonstrated strategic thinking, with an understanding of the broader implications of data insights on product and business objectives.

• Exceptional problem-solving abilities.

• Capability to independently resolve issues as well as collaborate within a cross-functional team to address project challenges.

• Nice to have: Familiarity with statistical tests and procedures such as ANOVA, Chi-squared, Correlation, Regression, and Student t-test.

• Expertise in querying large datasets using SQL and experience with Oracle/Netezza/Data Warehouse and Data Lake data structures.

• Strong critical thinking skills to evaluate results for timely decision-making.

🏝️ Benefits

• Health insurance

• Flexible work arrangements

• Professional development