Bristol Myers Squibb
DataScientistIII
“Data Scientist III at Bristol Myers Squibb. Skills: AI, LLM, Machine learning, Data analysis. Provide strategic and technical analytical solutions. Develop and deploy AI, LLM, and agentic automation solutions”
What You'll Achieve.
Delivering outcomes with minimal supervision; Ensuring alignment with organizational objectives; Ensuring harmony with BMS enterprise platforms and governance; Derive meaningful insights and recommendations; Achieve business goals; Meet KPIs; Maintain data pipelines; Maintain models; Maintain business facing reports and dashboards; Solve complex problems; Ensure analytics continue to function efficiently; Drive continuous improvement
Industry & Context.
Analytical thinking; Problem-solving skills; Ability to analyse complex data sets; 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 degree in Computer Science, Engineering, Data Science, or related scientific discipline, 6-10 years of experience in a data and analytics role, Direct development experience, Experience working with large datasets, Experience with data visualization tools, Experience with statistical software packages and platforms, R, Python, Advanced SQL, Domino, AWS, GitHub, dbt, Tableau, Proficiency in Python, Proficiency in machine learning frameworks, LLM and agentic AI solutions, Modern GenAI/MLOps tooling, Analytical thinking, Problem-solving skills
Nice to Have
PhD candidates with 5+ years of relevant experience, Experience with PyTorch, Experience with TensorFlow, Experience with HuggingFace, Prompt engineering, RAG, LangChain, MLflow, Feature stores, Vector databases, Model evaluation/monitoring, Development of integration of generative AI or large-scale automation tools, Experience in life sciences, biotech, or healthcare, Experience with major GPS applications (SAP, Oracle, LIMS, Infinity, MES), Experience with biotech product development, Experience with manufacturing operations, Experience with supply chain, Experience with quality control, Experience in the biopharma industry
What You'll Do.
Provide strategic and technical analytical solutions
Develop and deploy AI
and agentic automation solutions
Conduct analysis and interpretation of complex data sets
Derive meaningful insights and recommendations
establish and maintain data pipelines
and implement GPS analytics
Identify and implement enhancement and automation of analytics
Collaborate with IT teams to develop data infrastructure
Follow technical best practices in building analytics
Continuously monitor emerging AI technologies
Recommend new approaches for improvement
Propose roadmap for scaling Data Science & AI functions
How You'll Work.
Team & Collaboration
Collaborate with stakeholders to identify business problems; Collaborate proactively with IT teams; Work as part of a team
Communication Scope
Communication skills; Ability to present complex information to non-technical stakeholders
Process & Methodology
Project management skills, Ability to work independently
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