Senior Data Scientist

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

📋 Description

• Collaborate with business stakeholders and cross-functional teams to gain insights into enterprise-wide analytical requirements.

• Define critical questions, convert requirements into implementable data and analytics solutions, and ensure objectives are aligned with measurable outcomes.

• Offer thought leadership in advanced analytics, encompassing statistical analysis and various modeling techniques such as descriptive, diagnostic, predictive, and prescriptive modeling.

• Integrate insights related to financial performance, forecasts, products, geography, industries, competitive landscape, and customer segments.

• Create and implement scalable data and analytics solutions utilizing Python, SQL, SQL Server, Oracle, AWS, and Power BI.

• Utilize advanced statistical and quantitative methods, including complex predictive modeling.

• Assess current and emerging technologies to spot trends and improve analytical capabilities.

• Lead cross-functional projects and initiatives.

• Present complex analytical results to management and executive audiences effectively.

• Promote the adoption of Artificial Intelligence and Machine Learning by spearheading initiatives, establishing best practices, and enhancing capabilities.

• Mentor and nurture junior team members.

• Provide consistent updates and insights to management.

⛳️ Requirements

• Resume must be submitted in English.

• Bachelor’s degree in Statistics, Data Science, Quantitative Economics, Marketing Analytics, Mathematics, Computer Science, Engineering, or a related quantitative discipline.

• A Master’s degree along with relevant professional experience is preferred.

• At least 5+ years of experience as a Data Scientist or in a comparable analytical, quantitative, or technical position.

• Strong analytical and problem-solving abilities.

• Proficient in Python and SQL.

• Practical experience in data engineering, data wrangling, feature engineering, and scalable data processing.

• Familiarity with statistical analysis and machine learning methodologies, including regression, hypothesis testing, dimensionality reduction, predictive modeling, and data mining.

• Experience working with various data sources, data platforms, and reporting/analytics tools like SQL Server and Denodo or similar technologies.

• Experience with cloud platforms such as AWS, GCP, or Azure.

• Proficient in Power BI and advanced Excel.

• Strong grasp of data modeling principles, ML libraries, and best practices.

• Capability to manage multiple priorities and excel in a fast-paced, ambiguous environment.

• Ability to explore and utilize new data sources, tools, and methodologies.

• Excellent collaboration and communication skills.

• Advanced proficiency in English.

🏝️ Benefits

• Industry-leading benefits, support, and services for comprehensive health and wellbeing.

• Flexible arrangements that suit your needs (role and location dependent).

• Autonomy, freedom, and ownership in your work.

• An inclusive culture rooted in mutual respect and merit-based systems.

• Reasonable accommodations provided during the recruitment process.