Data Scientist II

Mployee.me; Hyderabad; Hybride; INR 1 800 000 - 3 600 000; Plein temps

Résumé du poste

Bristol Myers Squibb is hiring a Data Scientist II to design and deploy advanced data science and AI solutions. You will work with large healthcare datasets, build predictive models, and develop LLM-powered applications and RAG pipelines.

You will collaborate across teams to ensure scalable data pipelines, high-quality data, and production-ready AI systems, while communicating insights to diverse stakeholders.

Qualifications

• Btech/Masters in a relevant field such as Data Science, Statistics, Computer Science or related discipline.
• 3+ years of experience in data science, ML, or applied AI roles.
• Proven experience building and deploying ML/LLM-powered systems in production.
• Experience with large-scale structured and unstructured datasets.

Responsabilités

• Collaborate with business to design, develop, and deploy advanced data science and AI solutions.
• Work with large-scale datasets including clinical data, publications, and real-world evidence.
• Build predictive models and analytics solutions for actionable insights.
• Develop LLM-powered applications and RAG pipelines.
• Develop semantic layers and contextual data frameworks for AI systems.

Connaissances

Machine learning

Python

Databricks

LLM applications

Vector databases

LangGraph/ Claude SDK

AI workflows

FastAPI

SQL

Data platforms

Formation

BTech/Master's in Data Science/Statistics/Computer Science

Outils

Databricks (Spark, MLflow, Delta Lake)

FastAPI

SQL

Description du poste

At Bristol Myers Squibb, our employees often ask, "Who are you working for?"-a question that fuels collaboration, accountability, and urgency in our work. Our purpose-driven culture inspires us to discover, develop, and deliver innovative medicines to prevail over serious diseases. We offer uniquely interesting and meaningful work, opportunities for growth, and a supportive environment that values inclusion, wellbeing, flexibility, and comprehensive benefits. This is work that transforms the lives of patients, and the careers of those who do it.

Roles and Responsibilities

• Collaborate with business to design, develop, and deploy advanced data science and AI solutions leveraging machine learning, large language models (LLMs), and modern data platforms.
• Work with large-scale structured and unstructured datasets including clinical data, publications, real-world evidence, and other healthcare datasets.
• Build predictive models and advanced analytics solutions to generate actionable insights and support data-driven decision making.
• Develop LLM-powered applications such as AI assistants, knowledge-grounded reasoning systems, and Retrieval-Augmented Generation (RAG) pipelines.
• Develop and maintain semantic layers, ontologies, and contextual data frameworks that enable consistent interpretation of data across AI systems and analytics workflows.
• Implement evaluation frameworks for AI systems, response quality assessment, hallucination mitigation, and benchmark-driven validation.
• Partner with data engineering and platform teams to ensure scalable pipelines, high-quality data availability, and production-ready AI systems.
• Communicate analytical findings and AI-driven insights clearly to both technical and non-technical stakeholders through reports, visualizations, and presentations.

Skills and Competencies

• Strong expertise in machine learning, and predictive modeling techniques.
• Strong programming proficiency in Python for data science and AI system development
• Experience working with modern data platforms such as Databricks (Spark, MLflow, Delta Lake).
• Experience building LLM-based applications, including Retrieval-Augmented Generation (RAG), AI copilots, and knowledge-grounded AI systems.
• Experience implementing embedding pipelines and vector database architectures (e.g., FAISS, Pinecone, Weaviate, OpenSearch Vector, pgvector).
• Familiarity with agentic AI frameworks such as LangGraph/ Claude SDK
• Experience designing multi-step AI workflows, including tool calling, context management, and agent-to-agent interaction.
• Understanding of LLMOps practices, including model deployment, monitoring, prompt engineering, evaluation workflows, and experiment tracking.
• Experience developing and deploying AI or ML services using FastAPI or similar frameworks for scalable APIs.
• Proficiency in working with large datasets using SQL and distributed data processing frameworks.
• Excellent communication and presentation skills to convey complex technical concepts to both technical and non-technical audiences.

Experience

• Btech/Masters in a relevant fields such as Data Science, Statistics, Computer Science or a related discipline.
• 3+ years of experience in data science, machine learning, or applied AI roles.
• Proven experience building and deploying machine learning or LLM-powered systems in production environments.
• Experience working with large-scale structured and unstructured datasets.
• Experience developing AI-powered decision support tools, or knowledge-based systems.
• Experience applying data science or AI techniques in healthcare, life sciences, or biopharma domains is highly desirable.
• Familiarity with clinical data, healthcare datasets, or real-world evidence sources is a plus.
• Understanding of the pharma ecosystem and healthcare data sources is beneficial.

We hire for skills and capabilities, not just credentials - if this role excites you, but doesn't perfectly match your resume, we encourage you to apply anyway.

How We Work

Where you work matters - because collaboration, innovation and patient impact happen in many settings. Our roles are structured across four work models: site-essential, site-by-design, field-based and remote-by-design. The model assigned to this role is based on its core responsibilities. Learn more at https://careers.bms.com/ways-of-working.

Supporting People with Disabilities

BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to [e-mail]. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement.

Candidate Rights

BMS will consider qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.

For roles based in Los Angeles County only: If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/.

For roles based in Washington State only: If you live in or expect to work from Washington State if hired for this position, please visit this page for important information about the Washington Fair Chance Act.

Data Protection

We will never request payments, financial information, or social security numbers during our application or recruitment process. Learn more about protecting yourself at https://careers.bms.com/fraud-protection.

Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

If this posting is missing required information required by local law or incorrect, contact BMS at [e-mail] with the Job Title and Requisition number. Do not send application-related inquiries to this email. To check your application status, please login to your Candidate Home Account.

R1607910 : Data Scientist II