Senior Data Scientist - Pharma Domain

Job Description

As a Senior Data Scientist, you will be responsible for utilizing your expertise in Data Science and Generative AI to develop and deploy Machine Learning models in cloud environments. Your hands-on experience with Python and cloud platforms like GCP, Azure, or AWS will be crucial in this role. Additionally, your background in the pharmaceutical domain or regulated industries will be advantageous.Qualifications required for this role include:- Developing GenAI/Machine Learning models and deploying them in cloud environments.- Proficiency with cloud platforms and AI/ML services such as Vertex AI, BigQuery, Dataflow, Cloud Storage, and Cloud Run.- Working with agentic frameworks and understanding of Retrieval-Augmented Generation (RAG) concepts.- Strong software engineering skills with Python, including experience with ML frameworks and API development.- Designing and deploying microservices architectures and containerized applications using Docker and Kubernetes.- Experience in MLOps, including model versioning, experiment tracking, automated training pipelines, feature stores, model registries, monitoring, and governance.- Data processing and analytics skills including SQL, data pipelines, ETL/ELT processes, data quality, and visualization support.- Understanding of cloud security, IAM, and data privacy/compliance principles.- Strong problem-solving, communication, and collaboration skills to work effectively across cross-functional teams.- Ability to translate business problems into scalable ML solutions and communicate technical concepts to non-technical stakeholders.In addition to the technical qualifications, the industry type for this role is IT Services & Consulting within the Data Science & Analytics department. This is a full-time, permanent position falling under the role category of Data Science & Machine Learning. The educational requirement for this role is a UG degree in B.C.A. in Any Specialization or Any Graduate field. As a Senior Data Scientist, you will be responsible for utilizing your expertise in Data Science and Generative AI to develop and deploy Machine Learning models in cloud environments. Your hands-on experience with Python and cloud platforms like GCP, Azure, or AWS will be crucial in this role. Additionally, your background in the pharmaceutical domain or regulated industries will be advantageous.Qualifications required for this role include:- Developing GenAI/Machine Learning models and deploying them in cloud environments.- Proficiency with cloud platforms and AI/ML services such as Vertex AI, BigQuery, Dataflow, Cloud Storage, and Cloud Run.- Working with agentic frameworks and understanding of Retrieval-Augmented Generation (RAG) concepts.- Strong software engineering skills with Python, including experience with ML frameworks and API development.- Designing and deploying microservices architectures and containerized applications using Docker and Kubernetes.- Experience in MLOps, including model versioning, experiment tracking, automated training pipelines, feature stores, model registries, monitoring, and governance.- Data processing and analytics skills including SQL, data pipelines, ETL/ELT processes, data quality, and visualization support.- Understanding of cloud security, IAM, and data privacy/compliance principles.- Strong problem-solving, communication, and collaboration skills to work effectively across cross-functional teams.- Ability to translate business problems into scalable ML solutions and communicate technical concepts to non-technical stakeholders.In addition to the technical qualifications, the industry type for this role is IT Services & Consulting within the Data Science & Analytics department. This is a full-time, permanent position falling under the role category of Data Science & Machine Learning. The educational requirement for this role is a UG degree in B.C.A. in Any Specialization or Any Graduate field.

Keyskills :
Data SciencePythonGCPAzureAWSMachine LearningCloud StorageAPI developmentDockerKubernetesSQLData qualityData visualizationCloud securityIAMData privacyCommunicationCollaborationGenerative AIVertex AIBigQueryDataflowCloud RunRetrieva