Lead Healthcare Data Scientist

As a Senior Data Scientist in the healthcare sector, your role will involve the following responsibilities: Role Overview: You will be part of the Data Science & Analytics Team, focusing on developing advanced ML-driven healthcare solutions for the US and global markets. Key Responsibilities: - Develop high-performing predictive healthcare models using ML & AI - Apply statistical modeling techniques such as GLM, Decision Trees, Boosting, SVM, Regression, Clustering - Perform model training, hyperparameter tuning, and evaluation - Collaborate with product teams to define data sources, algorithms, and KPIs - Deploy ML models into production environments - Build ETL pipelines, data transformation, and scalable modeling workflows - Monitor model performance, optimize continuously, and ensure HIPAA compliance - Upgrade and maintain existing healthcare data products Qualifications Required: - 3+ years experience in the Healthcare domain with exposure to healthcare data - 57 years of experience building and deploying ML models in production - Proficiency in ML algorithms, statistical modeling, Python, R, Scala, Spark/PySpark, H2O - Experience in AWS, Google AI/ML Platform, Snowflake, Databricks - Hands-on experience with ETL, data pipelines, and big data environments - Strong communication skills for technical and non-technical audiences - Bachelors Degree in a quantitative field or equivalent experience Additional Details of the Company: - The company focuses on building ML-driven healthcare solutions for the US and global markets - Emphasis on continuous improvement, automation, and process enhancements - Partnerships with agencies for closed-loop measurement solutions Please note that the following qualifications and experiences will set you apart: - Deep Learning / Neural Networks expertise - Experience with Docker & Kubernetes-based model deployment - Knowledge of Airflow / KubeFlow - Masters Degree in Data Science / Statistics / Engineering - Consulting/Healthcare analytics background - Experience with H2O or similar ML platforms As a Senior Data Scientist in the healthcare sector, your role will involve the following responsibilities: Role Overview: You will be part of the Data Science & Analytics Team, focusing on developing advanced ML-driven healthcare solutions for the US and global markets. Key Responsibilities: - Develop high-performing predictive healthcare models using ML & AI - Apply statistical modeling techniques such as GLM, Decision Trees, Boosting, SVM, Regression, Clustering - Perform model training, hyperparameter tuning, and evaluation - Collaborate with product teams to define data sources, algorithms, and KPIs - Deploy ML models into production environments - Build ETL pipelines, data transformation, and scalable modeling workflows - Monitor model performance, optimize continuously, and ensure HIPAA compliance - Upgrade and maintain existing healthcare data products Qualifications Required: - 3+ years experience in the Healthcare domain with exposure to healthcare data - 57 years of experience building and deploying ML models in production - Proficiency in ML algorithms, statistical modeling, Python, R, Scala, Spark/PySpark, H2O - Experience in AWS, Google AI/ML Platform, Snowflake, Databricks - Hands-on experience with ETL, data pipelines, and big data environments - Strong communication skills for technical and non-technical audiences - Bachelors Degree in a quantitative field or equivalent experience Additional Details of the Company: - The company focuses on building ML-driven healthcare solutions for the US and global markets - Emphasis on continuous improvement, automation, and process enhancements - Partnerships with agencies for closed-loop measurement solutions Please note that the following qualifications and experiences will set you apart: - Deep Learning / Neural Networks expertise - Experience with Docker & Kubernetes-based model deployment - Knowledge of Airflow / KubeFlow - Masters Degree in Data Science / Statistics / Engineering - Consulting/Healthcare analytics background - Experience with H2O or similar ML platforms