Job Description

At Danaher, our work saves lives. And each of us plays a part. Fuelled by our culture of continuous improvement, we turn ideas into impact - innovating at the speed of life.


Our 63,000+ associates work across the globe at more than 15 unique businesses within life sciences, diagnostics, and biotechnology.


Are you ready to accelerate your potential and make a real difference? At Danaher, you can build an incredible career at a leading science and technology company, where we're committed to hiring and developing from within. You'll thrive in a culture of belonging where you and your unique viewpoint matter.


Learn about the Danaher Business System which makes everything possible.


Danaher's India Development Center - IDC is a research and development center with the vision of accelerating product roadmaps across various Danaher business segments. Started in 2014, the center now hosts 700+ associates, for multiple Danaher operating companies focusing on Diagnostics, Life Science, and Environmental and Applied Science segments. The operating companies include Beckman Coulter, Radiometer, Leica Biosystems, Digital Teams, Leica Microsystems, HemoCue, Phenomenex SCIEX and Cepheid.


The IDC workforce comprises of various product engineering teams, working on development of software and hardware components of cutting-edge products for, Immunoassay, Chemistry, Hematology, Molecular diagnostics, Oncology, Neurosurgery etc,. IDC has evolved as center of excellence for Cloud and data analytics, with significant contributions to the key informatics solutions. The teams consist of highly hardworking software & hardware engineers and development managers. The teams are supported by local Product managers, Quality & Regulatory and Intellectual property specialists.


The inhouse teams works in close coordination with other global R&D centers at US, France, Germany, Japan, Australia, Denmark and Sweden. Located at the center of Bangalore IT HUB, IDC is housed at state of art facility.


The

Senior Data Scientist

at Danaher Enterprise AI team, supporting various initiatives and advancing business objectives through rigorous data analysis, model development, and decision enablement for scientific, technical, or operational functions. This role is based in India, Bangalore working onsite and will report through the aligned business and organizational structure.

In this role, you will have the opportunity to:

Lead the design, development, and implementation of AI/ML models tailored to Service and support initiatives (Example: Ticket Triage, Intelligent routing, Predictive maintenance, resource planning, customer interaction analysis etc.,) Develop and deploy generative AI models and ML models for service and support use cases, fine-tuning large pre-trained LLMs, evaluating modeling performance; continuously iterating and optimizing the solutions. Collaborate with cross-functional teams (Data Engineering, Product, IT, Service Ops, business functions) to operationalize AI models using scalable MLOps pipelines Partners with solution architect engineers to enable appropriate data flow/data model, development using appropriate tools/technology to ensure rapid prototyping, testing and deployment Ensure models are robust, scalable, and production ready with clear monitoring and feedback loops. Ability to work with confidential and sensitive data in accordance with company policies and data protection requirements

The essential requirements of the job include:

PhD or master's degree in computer science, Data Science, Machine Learning, Statistics or a related field. 8+ years of experience in applied AI/ML roles, Data Science with at least 5 years focused on developing models and algorithms Strong expertise in optimization, regression, classification, time series, deep learning, GenAI, Agentic AI.Proficiency in programming languages such as Python, Java, Scala or similar and ML libraries (TensorFlow, PyTorch, Scikit-learn, etc.). Strong experience with MLOps tools (MLflow, Kubeflow, Vertex AI, AWS Sagemaker, etc.) and CI/CD pipelines.Strong hands-on knowledge in developing/implementing models and Machine Learning models to customer service, technical support, or operations use case. Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms such as AWS, Snowflake etc.Knowledge of vector databases (e.g., Pinecone, FAISS, Weaviate) and retrieval-augmented generation (RAG) frameworks

It would be a plus if you also possess previous experience in:

Experience building and deploying equipment failure prediction models at scale Knowledge of working on Enterprise-wide AI applications and deployment. Experience with AI agent solution development. Familiarity working with MedTech, Diagnostic and life science domain is preferred.

In this role, you will have the opportunity to:

Lead the design, development, and implementation of AI/ML models tailored to Service and support initiatives (Example: Ticket Triage, Intelligent routing, Predictive maintenance, resource planning, customer interaction analysis etc.,) Develop and deploy generative AI models and ML models for service and support use cases, fine-tuning large pre-trained LLMs, evaluating modeling performance; continuously iterating and optimizing the solutions. Collaborate with cross-functional teams (Data Engineering, Product, IT, Service Ops, business functions) to operationalize AI models using scalable MLOps pipelines Partners with solution architect engineers to enable appropriate data flow/data model, development using appropriate tools/technology to ensure rapid prototyping, testing and deployment Ensure models are robust, scalable, and production ready with clear monitoring and feedback loops. Ability to work with confidential and sensitive data in accordance with company policies and data protection requirements

The essential requirements of the job include:

PhD or master's degree in computer science, Data Science, Machine Learning, Statistics or a related field. 8+ years of experience in applied AI/ML roles, Data Science with at least 5 years focused on developing models and algorithms Strong expertise in optimization, regression, classification, time series, deep learning, GenAI, Agentic AI.Proficiency in programming languages such as Python, Java, Scala or similar and ML libraries (TensorFlow, PyTorch, Scikit-learn, etc.). Strong experience with MLOps tools (MLflow, Kubeflow, Vertex AI, AWS Sagemaker, etc.) and CI/CD pipelines.Strong hands-on knowledge in developing/implementing models and Machine Learning models to customer service, technical support, or operations use case. Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms such as AWS, Snowflake etc.Knowledge of vector databases (e.g., Pinecone, FAISS, Weaviate) and retrieval-augmented generation (RAG) frameworks

It would be a plus if you also possess previous experience in:

Experience building and deploying equipment failure prediction models at scale Knowledge of working on Enterprise-wide AI applications and deployment. Experience with AI agent solution development. Familiarity working with MedTech, Diagnostic and life science domain is preferred.

Join our winning team today. Together, we'll accelerate the real-life impact of tomorrow's science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.


For more information, visit www.danaher.com.