Data Scientist Mid-Level

📋 Description

• Lead the development of analytical, statistical, machine learning, and applied AI solutions for
• Translate business questions into structured analytical approaches, modeling strategies, and
• Design and execute analyses and models across use cases such as segmentation, forecasting
• Partner with Data Analysts, AI Scientists, AI Engineers, Analytics Engineers, Data Engineers, and
• Collaborate with distributed teams across the Americas and across functions/time zones/client
• Document assumptions, methodology, feature logic, model decisions, evaluation criteria

🎯 Requirements

• Strong working knowledge of statistics, probability, machine learning, and analytical problem
• Ability to independently manage recurring data science workstreams and deliver reliable outputs
• Strong understanding of supervised and unsupervised learning, feature engineering, model
• Experience working with structured, semi-structured, and selected unstructured datasets.
• Familiarity with experimentation design, model validation, and interpreting analytical outputs in
• Growing familiarity with applied AI methods, including LLM-enabled workflows and AI-assisted

🎁 Benefits

• Flexibility with remote and hybrid work options (country-dependent).
• Career advancement with international mobility and professional development programs.
• Learning and development with access to cutting-edge tools, training, and industry experts.
• Medical, dental, and vision insurance for you and your family, plus employer contributions to