Associate Data Scientist

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

📋 Description

• Extract, transform, aggregate, and analyze extensive and intricate datasets utilizing SQL, Python, R, Spark, and other relevant technologies.

• Conduct exploratory data analysis (EDA), feature engineering, and data validation to assist analytics and modeling projects.

• Create, assess, and sustain descriptive and predictive machine learning models using tools such as scikit-learn, Jupyter Notebooks, Python, R, and/or SAS.

• Implement statistical modeling and data mining techniques, encompassing regression, classification, clustering, decision trees, and other related methodologies.

• Leverage Generative AI and AI-assisted tools, including LLMs, coding assistants, and AutoML platforms, to enhance analytical workflows and insight derivation.

• Employ Generative AI strategies like prompt engineering, text summarization, classification, and LLM-assisted analysis in business or research contexts.

• Collaborate with stakeholders to convert business challenges into analytical solutions and effectively communicate insights.

• Develop and sustain business intelligence solutions and dashboards utilizing Tableau, Power BI, or comparable visualization platforms.

• Establish metrics, validate data quality, and aid in semantic layer development to guarantee precise reporting and business insights.

• Adhere to responsible AI principles, including awareness of data privacy, bias mitigation, ethical AI usage, and model constraints.

⛳️ Requirements

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics, or a related quantitative field, with graduation anticipated in 2026.

• At least 2 years of experience in data analysis, quantitative modeling, or data-driven decision-making through academic, internship, research, or professional experiences.

• Proficiency in SQL and Python for data analysis, visualization, and modeling tasks.

• Experience handling large datasets and utilizing distributed data processing tools such as Spark.

• Strong grasp of statistics and machine learning fundamentals, including model evaluation methods.

• Practical experience with machine learning libraries and tools like scikit-learn, Jupyter Notebooks, Python, R, and/or SAS.

• Familiarity with Generative AI technologies and AI-assisted analytical processes.

• Knowledge of business intelligence and visualization tools such as Tableau or Power BI.

• Excellent analytical thinking, problem-solving capabilities, and communication skills.

🏝️ Benefits

• Opportunities for daily learning and development through a variety of programs.

• Internal digital platforms that encourage self-directed learning.

• Development programs tailored to leadership skills.

• Specialized training based on the role.

• Learning experiences with both internal and external providers.

• Recognition programs for seniority, behavior, leadership, and significant life moments, among others.

• Financial wellness programs designed to help you achieve your goals at all life stages.

• A flexibility program that allows you to balance your personal and professional life, adapting your workday to fit your lifestyle.

• Benefits including our WellnessLine, agreements and discounts, scholarship programs for your children, and assistance plans for various life events, among others.