Data Scientist

📋 Description

• Develop, validate, and tune ML models for business problems.
• Partner with engineers to deploy models in production.
• Design experiments and evaluate models with robust statistics.
• Build dashboards to monitor model efficacy and insights.
• Monitor deployed models for drift, accuracy, and reliability.
• Translate model results into actionable business recommendations.

🎯 Requirements

• 5+ years of ML and statistics experience solving business problems.
• Master’s or PhD in Statistics, CS, Data Science, or related field.
• Prior exposure to production ML environments and workflows.
• Python proficiency (pandas, scikit-learn, PyTorch/TensorFlow).
• SQL (Snowflake) with data engineering collaboration; AWS.
• Excellent communication, problem-solving, and cross-functional teamwork.

🎁 Benefits

• Competitive compensation and benefits.
• High-impact environment with data-driven culture.
• Opportunities to shape DS practices and production ML.
• 401(k) retirement plan and local country pension.
• Unlimited vacation and flexible hours.