Bristol Myers Squibb
life sciences, biotech, or healthcare
DataScientistII
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Scientist II at Bristol Myers Squibb. Skills: AI, LLM, agentic automation, data analysis, statistical analysis, Python, machine learning, GenAI, MLOps. Provide strategic and technical analytical solutions for the identification, development, and deployment of AI, LLM, and agentic automation solutions. Conduct analysis and interpretation of complex data sets to derive meaningful insights and recommendations”
What You'll Achieve.
identification, development, and deployment of AI, LLM, and agentic automation solutions; deriving meaningful insights and recommendations; design, establish and maintain data pipelines, models and business facing reports and dashboards; solve complex problems in a computationally efficient and statistically valid manner; enhancement and automation of high-value analytics; efficient data collection, processing, and analysis; drive continuous improvement
Industry & Context.
analytical thinking and problem-solving skills with the ability to analyse complex data sets and draw meaningful conclusions; Agile problem-solving ability
Work hours that provide sufficient overlap with standard east coast US working hours
What They're Looking For.
Must Have
Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related scientific discipline field, Proven experience (typically 3-7 years) in a data and analytics role, including direct development experience, Experience working with large datasets, Experience with data visualization tools, Experience with statistical software packages and platforms, Proficiency in Python, Proficiency in machine learning frameworks, Proficiency in LLM and agentic AI solutions, Proficiency in modern GenAI/MLOps tooling, Proficiency in advanced SQL, Proficiency in version control
Nice to Have
PhD candidates, 5+ years of relevant experience is considered, Experience with R, Experience with Domino, Experience with AWS, Experience with GitHub, Experience with dbt, Experience with Tableau, Experience with PyTorch, Experience with TensorFlow, Experience with HuggingFace, Experience with prompt engineering, Experience with RAG, Experience with LangChain, Experience with feature stores, Experience with vector databases, Experience with model evaluation/monitoring, Demonstrable Experience in development of integration of generative AI or large-scale automation tools, Experience with major GPS applications (SAP, Oracle, LIMS, Infinity, MES) is a plus, Experience with biotech product development, manufacturing operations, supply chain, and quality control is a significant plus, Experience in the biopharma industry a plus
What You'll Do.
Provide strategic and technical analytical solutions for the identification
and agentic automation solutions
Conduct analysis and interpretation of complex data sets to derive meaningful insights and recommendations
and implement a broad array of GPS analytics that solve complex problems in a computationally efficient and statistically valid manner
Identify and implement enhancement and automation of high-value analytics
and presentations to communicate analyses to stakeholders
Follow technical best practices in building
and enhancing analytics output with scalable solutions
Continuously monitoring emerging AI technologies and best practices
Proposing a pragmatic roadmap for scaling Data Science & AI functions
How You'll Work.
Team & Collaboration
Collaborate with stakeholders to identify business problems, goals, and KPIs; Collaborate proactively with IT teams to develop and enhance data infrastructure, data pipelines, and analytical tools; Provide training, guidance, and mentorship to junior analysts and team members
Communication Scope
communication skills with the ability to present complex information to non-technical stakeholders in a clear manner
Process & Methodology
project management skills, ability to work independently or as part of a team
Full Job Description
**Working with Us** Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: [careers.bms.com/working-with-us](https://careers.bms.com/working-with-us). Roles & Responsibilities * Provide strategic and technical analytical solutions for the identification, development, and deployment of AI, LLM, and agentic automation solutions across GPS BI&T, ensuring alignment with organizational objectives and enterprise initiatives as well as harmony with BMS enterprise platforms and governance (e.g., model/platform reuse, safety & privacy reviews, data access controls, usage/cost monitoring) * Conduct analysis and interpretation of complex data sets to derive meaningful insights and recommendations based on an understanding of GPS priorities, critical issues, and value levers * Collaborate with stakeholders to identify business problems, goals, and KPIs to design, establish and maintain data pipelines, models and business facing reports and dashboards * Design, develop, and implement a broad array of GPS analytics that solve complex problems in a computationally efficient and statistically valid manner * Identify and implement enhancement and automation of high-value analytics while e
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