Job Information
BD (Becton, Dickinson and Company) Lead Data Scientist in Bengaluru, India
Job Description Summary
Lead Data Scientist
The Lead Data Scientist is a critical position for understanding of the current state of BD’s product performance, quality system performance and regulatory compliance standards. They will work with Global Process Owners Global Process Owners to define key metrics and targets for their Quality System Element. As well as working with other key stakeholders to identify opportunities for leveraging company data to drive analytical solutions, create efficiencies, execute metrics ensuring processes are in control and identifying root causes to prevent product defects. They proactively demonstrate leadership by advising and sharing knowledge and expert opinions with stakeholder while mentoring & training a team of 3 data scientist based in India. In this role, you will oversee the design, development, testing, and deployment of traditional & generative AI models and applications that create high-quality and diverse content across various domains and modalities.
Job Description
Lead Data Scientist
The Lead Data Scientist is a critical position for understanding of the current state of BD’s product performance, quality system performance and regulatory compliance standards. They will work with Global Process Owners Global Process Owners to define key metrics and targets for their Quality System Element. As well as working with other key stakeholders to identify opportunities for leveraging company data to drive analytical solutions, create efficiencies, execute metrics ensuring processes are in control and identifying root causes to prevent product defects. They proactively demonstrate leadership by advising and sharing knowledge and expert opinions with stakeholder while mentoring & training a team of 3 data scientist based in India. In this role, you will oversee the design, development, testing, and deployment of traditional & generative AI models and applications that create high-quality and diverse content across various domains and modalities.
Responsibilities:
Strategy: Develop and complete a data science strategy which is a part of the larger Digital Analytics Data Strategy aligned with Central Quality’s goals and objectives
Understand Quality business problems and design end-to-end data science use cases to meet stakeholder needs, while developing business case demonstrating the value add
Leadership: Lead and mentor a team of data analysts, data engineers, and data scientists, fostering a culture of innovation and continuous learning. Mentor and develop team members, providing guidance and support to help them reach their full potential.
Cross-functional Collaboration: Collaborate with other departments within Quality, the different business units and across the corporate enterprise to identify product and operational opportunities for data-driven improvements and efficiencies.
Work closely with TGS partners to build or implement 3rd party solutions to accommodate business needs i.e. Central Quality Lead for Deployment of Databricks ML OPS environment.
Lead and manage AI initiatives, providing guidance and direction on best practices and techniques with a specific focus on managing AI Ops technologies and architecture (how do we setup a standard for model creation, evaluation, design & integration into our platforms).
Develop and Execute on Playbook that establish a standard framework around Data Models from Intake through to ongoing monitoring of data science models in production.
Ensure technical documentation is written and maintained for AI products/projects
Hands on development and testing related to AI solutions (python experience required)
Data Integration : Be responsible for the integration of data from various sources, both internal and external, to create a unified view to meet business needs.
Increase Data Literacy by holding workshops and guiding quality organization about the business potential and strategy of artificial intelligence (AI)/data science.
Promote collaboration and knowledge exchange with other data science teams within and outside BD
Communicate the design, development, and deployment processes and results of generative AI products/projects to Quality GPO’s and stakeholders
Collaborate with other Data Science developers, researchers, and stakeholders to integrate generative AI solutions with other AI components and platforms
Foster a culture of innovation and continuous improvement within the team, encouraging the exploration and adoption of new techniques and technologies.
Build and maintain relationships with key stakeholders, including clients, partners, and internal teams, to ensure the successful delivery of AI solutions.
Qualifications:
Management Experience
Bachelor's degree or higher in computer science, engineering, mathematics, or related field
Strong leadership and management skills
Domain expertise – experience working on AI projects/products related to the medical device industry
5 years experience in the following:
working in the AI/ML space in a hands-on manner
Python development
working with frameworks such as TensorFlow, PyTorch, Keras, etc
data modeling and engineering
creating & evaluating machine learning models
working with AI Deployment and DevOps features, such as containerization, pipelines, and infrastructure as code (i.e Azure DevOps, Azure Kubernetes Service, Docker, etc)
working with the cognitive services suite available in Azure (i.e cognitive search, document intelligence, Azure machine learning, etc)
working with SQL and NoSQL databases
Foundational understanding of LLMs and associated frameworks (i.e langchain)
Experience with Azure OpenAI & DataBricks is preferred
Strong knowledge and understanding of generative AI techniques and algorithms (i.e retrieval augmented generation)
Working knowledge in DevOps procedures and data engineering
Ability to design and architect scalable and robust AI systems and applications
Excellent problem-solving, analytical, and communication skills
Passionate and curious about generative AI and its applications
Experience in a pharmaceutical, medical device or other regulated field a plus
Strong background writing technical documentation as it relates to AI
Primary Work Location
IND Bengaluru - Technology Campus
Additional Locations
Work Shift
Becton, Dickinson and Company is an Equal Opportunity/Affirmative Action Employer. We do not unlawfully discriminate on the basis of race, color, religion, age, sex, creed, national origin, ancestry, citizenship status, marital or domestic or civil union status, familial status, affectional or sexual orientation, gender identity or expression, genetics, disability, military eligibility or veteran status, or any other protected status.