Bristol Myers Squibb
pharmaceutical
Manager,DevelopmenttoLaunchAnalytics
“Manager, Development to Launch Analytics at Bristol Myers Squibb. Skills: data science, data analytics, applied AI/machine learning, statistical models, SQL, Python, dbt. develop advanced analytics and AI tools to answer business strategy questions. partner with stakeholders to develop and deploy new analytic capabilities”
What You'll Achieve.
answer key business questions that drive business strategy; enable end-to-end drug development and product launch activities; Support Business Decisions; Driving Team Productivity and Operational Excellence; Driving Analytics and Capabilities
Industry & Context.
answer key business questions; solve complex problems
What They're Looking For.
Must Have
Bachelor's degree in Data Science, Engineering, Business Analytics, Finance, or other quantitative field with 4+ years of experience in data science, data analytics, applied AI/machine learning and/or statistical models, SQL, Python, dbt in production/operational environments, basic data architecture and database concepts
Nice to Have
Ph. D. in Data Science, Engineering, Business Analytics, Finance, or other quantitative field with 1+ years of experience in data science, data analytics, applied AI/machine learning and/or statistical models, working with probabilistic methods, including Monte Carlo Simulations, probability theory, Bayesian methods, life sciences and/or pharmaceutical industry, translating analytical results for business leaders, cloud platform certs
What You'll Do.
develop advanced analytics and AI tools to answer business strategy questions
partner with stakeholders to develop and deploy new analytic capabilities
identify and address priority business questions related to CMC development
new product introduction and business operations
develop and deploy analytics and AI capabilities using innovative analytic and data science techniques
support the development of core analytical and data science tools including AI and machine learning models
and statistical methodologies
apply coding and data analysis best-practices and standards
and implement a broad array of data analysis applications
build for data automation
cloud computing and data lake integration
explore new opportunities to further leverage data and analytical tools
ensure best practice adoption
provision of analytics to support planning and decision-making processes
How You'll Work.
Team & Collaboration
collaborative data science and business insights team; partner with stakeholders from the member functions and the Business Insights and Technology team; Build relationships with key stakeholders and SMEs within the functions and Business Insights and Technology; Conduct walkthroughs and peer reviews of work to ensure quality, cross-training, and knowledge management; Ability to work with diverse teams across organizational lines and structures
Communication Scope
written and verbal communication skills; Experience with translating analytical results for business leaders
Process & Methodology
project management skills, Proven ability to independently balance and prioritize across multiple projects in parallel
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