Data Scientist

Experteer Overview As a Data Scientist you will build data engineering and ML tools for large, complex medical data to address healthcare challenges.You will collaborate with cross-functional teams to design innovative sampling and scale ML solutions for Healthcare Big Data.You contribute to quality control methods, ML-based imputation, and deployment of new ML offerings.This role merges analytical rigor with practical deployment to help clients advance patient outcomes.You will work in a mission-driven environment focused on reimagining healthcare through data-driven insights.Compensaciones / Beneficios- Develop ML solutions and tools for high-scale, complex medical data- Contribute to concept design and development of innovative sampling approaches- Improve quality control methodologies (anomaly detection, isolation trees) and ML-based imputation for large datasets- Support development and deployment of ML solutions on Healthcare Big Data (pharmacy, hospital, physician, patient)- Assist in development and deployment of new offerings and scalable platforms- Select and apply ML techniques in connection with Healthcare Big Data to identify complex patterns- Collaborate with technology teams to support ML algorithms in big data platformsResponsabilidades- Master’s degree in a related field- Good knowledge of Machine Learning methods- Knowledge of higher statistical and econometric methods- Experience handling Big Data- Proficiency in Python/R and SQL- Fluent in English- Strong analytic mindset and QC mindset- Consulting, creativity, critical thinking, project planning, and attention to detail- Knowledge of pharmaceutical market and experience with pharmaceutical dataRequisitos principales-

Good knowledge of Machine Learning methods

• Knowledge of higher statistical and econometric methods
• Experience handling Big Data
• Proficiency in Python/R and SQL
• Fluent in English
• Strong analytic mindset and QC mindset
• Consulting, creativity, critical thinking, project planning, and attention to detail
• Knowledge of pharmaceutical market and experience with pharmaceutical dataRequisitos principales