Data Scientist, Machine Learning

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

📋 Description

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

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

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

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

• Work alongside Product, Engineering, Business Intelligence, Marketing, and Executive teams to convert business issues into analytical solutions.

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

• Generate dashboards, reports, and visualizations tailored for both technical and non-technical audiences.

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

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

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

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

• 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.

• At least 3 years of experience in Data Science, Machine Learning, or Advanced Analytics.

• Strong expertise in Python and SQL.

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

• In-depth understanding of statistics, predictive modeling, and data analysis.

• Familiarity with managing large datasets and cloud-based data platforms.

• Experience in articulating technical insights to business stakeholders.

• Excellent problem-solving, analytical thinking, and critical reasoning abilities.

• Proficient in professional English (B2+/C1 preferred; B2+ listed in resume requirements).

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

• Proficiency with machine learning libraries such as Scikit-learn, TensorFlow, PyTorch, XGBoost, or LightGBM.

• Experience in data cleaning, feature engineering, and data visualization.

• Knowledge of cloud platforms like AWS, Azure, or Google Cloud.

• Familiarity with Power BI, Tableau, or Looker for data visualization and executive reporting.

🏝️ Benefits

• Full-time employment.

• Remote work arrangement.

• Opportunity to collaborate with world-class teams.

• Chance to influence strategic decisions.

• Ability to create innovative solutions with measurable business impact.

• One-Way Video Interview as the next step in the hiring process.