Associate Data Scientist

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

📋 Description

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

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

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

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

• Leverage Generative AI and AI-assisted tools, such as LLMs, coding assistants, and AutoML platforms, to enhance analytical workflows and the generation of insights.

• Utilize Generative AI techniques, including prompt engineering, text summarization, classification, and LLM-assisted analysis in business or research contexts.

• Partner with stakeholders to convert business challenges into analytical solutions and effectively communicate findings.

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

• Establish metrics, validate data quality, and assist in the development of a semantic layer to guarantee accurate reporting and business insights.

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

⛳️ 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.

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

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

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

• Solid understanding of statistics and fundamental machine learning concepts, including model evaluation techniques.

• 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.

• Strong analytical thinking, problem-solving abilities, and communication skills.

🏝️ Benefits

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

• Internal digital platforms that encourage self-directed learning.

• Leadership skill development programs.

• Specialized training tailored to the role.

• Learning experiences with both internal and external providers.

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

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

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

• Family member benefits including WellnessLine, numerous agreements and discounts, scholarship programs for children, and aid plans for various life situations.