Data Scientist – Machine Learning

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

📋 Description

• Gather, clean, transform, and analyze both structured and unstructured data from various sources.

• Create predictive models, machine learning algorithms, and statistical analyses to address business challenges.

• Construct, validate, and implement machine learning models in live production settings.

• Examine customer behavior, business performance, operational efficiency, and market trends.

• Work in collaboration with Product, Engineering, Business Intelligence, Marketing, and Executive teams to convert business challenges into analytical solutions.

• Design and sustain data pipelines, processes for feature engineering, and frameworks for model monitoring.

• Develop dashboards, reports, and visual representations for both technical and non-technical stakeholders.

• Execute A/B testing, hypothesis testing, forecasting, and statistical modeling.

• Enhance data quality, model performance, and automation processes.

• Keep abreast of new AI, Machine Learning, and Data Science technologies and best practices.

• Provide support to U.S.-based organizations in Technology, SaaS, Healthcare, Finance, Retail, Manufacturing, and Biotechnology sectors.

• Complete a One-Way Video Interview as the subsequent step in the hiring process.

⛳️ Requirements

• A Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Artificial Intelligence, or a related discipline.

• Over 3 years of experience in roles related to Data Science, Machine Learning, Advanced Analytics, Data Scientist, or Machine Learning Engineer.

• Strong expertise in Python and SQL.

• Proven experience in building, validating, and deploying machine learning and predictive analytics models.

• Solid understanding of statistics, predictive modeling, data analysis, hypothesis testing, A/B testing, and statistical modeling.

• Familiarity with large datasets, data cleaning, feature engineering, and data visualization techniques.

• Experience with cloud-based data platforms such as AWS, Azure, or Google Cloud.

• Proficiency in Power BI, Tableau, or Looker for data visualization and executive reporting.

• Experience utilizing machine learning libraries including Scikit-learn, TensorFlow, PyTorch, XGBoost, or LightGBM.

• Ability to communicate technical insights to business stakeholders effectively.

• Professional proficiency in English (B2+/C1 preferred; B2+ as stated in requirements).

• Capability to work independently in a remote, multicultural environment.

🏝️ Benefits

• Flexible remote work arrangement.

• Opportunity to collaborate with exceptional teams.

• Chance to influence strategic decisions.

• Opportunity to create innovative solutions with a measurable impact on business.

• One-Way Video Interview as part of the hiring process.