Associate Data Scientist, New College Grad

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

📋 Description

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

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

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

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

• Leverage Generative AI and AI-enhanced tools, including large language models (LLMs), coding assistants, and AutoML platforms, to enhance analytical workflows and insight generation.

• Utilize Generative AI methodologies such as 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 findings.

• Design and sustain business intelligence solutions and dashboards using visualization platforms like Tableau, Power BI, or equivalents.

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

• Adhere to responsible AI principles, including consciousness of data privacy, bias mitigation, ethical AI practices, and model limitations.

⛳️ Requirements

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

• Expertise in SQL and Python for data analysis, visualization, and modeling purposes.

• Experience in handling large datasets and distributed data processing technologies such as Spark.

• Solid understanding of statistics and machine learning fundamentals, including model evaluation methods.

• Practical experience with machine learning libraries and tools such as 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 like Tableau or Power BI.

• Strong analytical reasoning, problem-solving capabilities, and communication proficiency.

🏝️ Benefits

• Opportunities to learn and grow daily through a diverse range of programs.

• Internal digital platforms that encourage self-directed learning.

• Development programs focused on Leadership skills.

• Specialized training tailored to the role.

• Learning opportunities with both internal and external providers.

• Recognition programs for seniority, behavior, leadership, significant life events, and more.

• Financial wellness programs designed to assist you in achieving your goals at every stage of life.

• A flexibility program that enables you to balance personal and work life, adjusting your workday to fit your lifestyle.

• Family benefits including WellnessLine, Agreements and Discounts, Scholarship programs for children, and Aid Plans for various life events.