Senior Data Scientist - AI Data Science
- Bristol Myers Squibb
- 5 - 9 years
- Hyderabad
- 2 months ago
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Job Description
The AI Data Science Engineer will play a key role in strategic use of data and artificial intelligence to drive critical business impacts through the delivery of data-driven insights in the Global Market Access and HEOR IT function.
If you want an exciting and rewarding career that is meaningful, consider joining our diverse team!
Key Responsibilities
- Develop and deliver AI-powered solutions that will bring more medicines to more patients faster.
- Develop ML pipelines that can evolve rapidly to incorporate new and/or more effective modeling approaches.
- Partner with business and IT groups to scale and operationalize AI solutions to advance business goals and gain competitive advantage.
- Engage a broader community to help educate the business on the practical application of AI to drive business value and widespread adoption.
- Serve as a knowledge expert in foundation models and communicate insights, recommendations, value and impact to technical and non-technical stakeholders.
- Stay up-to-date with emerging trends in data science and machine learning, and apply that knowledge to drive innovation within the organization.
Qualifications & Experience
- Requires advanced knowledge applicable to a wide range of work in data & analytics and thorough knowledge of other functions, typically gained through a university degree and 4+ years of experience.
- Demonstrates knowledge in data & analytics skillsets such as data provisioning, data mining, data visualization, machine learning, GenAI code development in python/R, Github, cloud computing platforms like AWS, model governance with MLFlow or equivalent.
- Potential to lead initiatives related to implementation of new technologies, especially LLM-based solutions.
- Can package information and data that tells a story and provides insight to a broader problem. Presents and explains the implications of key information on issues important to the business unit.
- Frequently interacts with other internal and external stakeholders regarding operational decisions and business requirements. Analyzes the impact of conclusions and actions on people, technology, structure, and workflow across teams
- Gives others challenging opportunities to build strong capabilities for team. Helps drive a culture which motivates awareness and learning through creating space for conversations and debate.
- Demonstrates a focus on improving processes, structures, and knowledge within the team. Leads in analyzing current states, deliver strong recommendations in understanding complexity in the environment, and the ability to execute to bring complex solutions to completion.
- Stays current with emerging trends in specialty area. Identifies future state and dimensions of change (org, tech, cultural) to achieve. Creates transition plans for new processes, implements and monitor s change. Ensures alignment of plans with the enterprises strategic vision and translates the vision to connect to teams work
- Maintains a broad perspective when analyzing information and utilizes analytical thought while pushing others to do the same, considering long-term implications. Uses judgement and creativity in structuring work and finding solutions that are not obvious. Reviews and assess solutions proposed by others to determine the best path moving forward.
Required Knowledge and Skills
- Minimum 5 years of experience.
- Developing and deploying generative AI solutions.
- Programming in Python and hands-on experience with frameworks such as Pytorch or Tensorflow Must have.
- Prompt engineering and vector databases.
- Work with unstructured and semi-structured data.
- Fine-tuning deep learning models.
- Familiarity with a cloud environment (AWS/GCP/Azure) is mandatory.
- MLOps principles and model development lifecycle is needed.
- Expert in ML deployment in GenAI applications.
Desirable Experience:
- Building RAG pipelines, chat applications and implementing AI agents.
- GenAI Frameworks such as LlamaIndex and LangChain.
- Knowledgeable in Agentic frameworks like LangGraph or Bedrock Agents.
- Familiarity with vibe coding platforms like Cursor or Github Copilot.
- Proficient in topics like model fine-tuning, RLHF, LLM tool-use.
- Strong foundations in software engineering and working in an AI product team.
- Familiarity with vision models.
Job Classification
Industry: Pharmaceutical & Life SciencesFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data ScientistEmployement Type: Full timeContact Details:
Company: Bristol Myers SquibbLocation(s): Hyderabad+ View Contact
Keyskills: Cloud computing Coding Analytical Machine learning Clinical trials Workflow Data mining Operations Information technology Python
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