Inteldot
Sr Data Scientist
Inteldot, Juncos, Juncos, us, 00777
Inteldot
has over 14 years in the life science industry with allocations across Puerto Rico, United States, Europe, and Japan. This is a great opportunity for one of our leading clients in
Puerto Rico . We are seeking candidates who are
currently residing in Puerto Rico , as this position requires
on-site work . Please note that
no travel or relocation expenses will be provided
for this role.Description:The Data Scientist will lead projects and collaborate with business partners including commercial insights teams, manufacturing, supply chain, engineering, data teams, external vendor partners, service owners, and IS partners to develop analytical models and insights across the PR Operations Organization to answer/solve specific business problems. This role will lead advanced analytics projects from the front and will be responsible for end-to-end execution. This role will innovate and create significant business impact through the strategic use of advanced analytics techniques.Competencies / Skills:Experience leading projects and in execution of the projects end-to-end.Experience with databases including relational, SQL, and Graph.Programming experience with Python, R, or SAS and experience with ML libraries like scikit-learn, MLib, Keras, TensorFlow, Pytorch, etc.Write well-abstracted and reusable code in Python, R, or Scala; you freely navigate in Linux environment.Detail-oriented technical aptitude with strong logical, problem-solving, and decision-making skills.Excellent organization/planning skills and talent for managing many large and complex datasets.Ability to collaborate and influence business partners and other IS resources to drive analytic projects end-to-end.Excellent communication skills to communicate analysis in a clear, precise, and actionable manner.Experience working with large datasets, experience working with distributed computing tools (Spark, Hive, etc.).Degree in Data Science, Engineering, Mathematics, Applied Physics, Statistics, or Operations Research.Additional Responsibilities:Leading, using, and developing data science, machine learning, and artificial intelligence capabilities across Amgen’s commercial organization.Leading projects and being part of cross-functional teams on projects and/or programs aimed to systematically derive insights that ultimately provide substantial business value for Amgen.Taking the initiative and working independently with minimal supervision.Identifying business needs, performing SWOT analysis, proposing potential analytical approaches for solutions, obtaining approvals, and executing the work end-to-end.Building high-performance algorithms, prototypes, predictive models, and proof of concepts using Python or R.Working with SQL and other DB query languages.Leading, collaborating, and communicating cross-functionally with stakeholders to develop appropriate methodology to answer specific business questions.Presenting analysis ideas, progress, and results to business partners in a clear and impactful manner.Creating powerful stories in PowerPoint. Well-versed in MS Office suite specifically Excel and PowerPoint.Assuring compliance with regulatory, security, and privacy requirements as it relates to data assets.Education:Doctorate degree OR Master’s degree in Science or Engineering and 3 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience OR Bachelor’s degree in Science and Engineering and 5 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience.
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has over 14 years in the life science industry with allocations across Puerto Rico, United States, Europe, and Japan. This is a great opportunity for one of our leading clients in
Puerto Rico . We are seeking candidates who are
currently residing in Puerto Rico , as this position requires
on-site work . Please note that
no travel or relocation expenses will be provided
for this role.Description:The Data Scientist will lead projects and collaborate with business partners including commercial insights teams, manufacturing, supply chain, engineering, data teams, external vendor partners, service owners, and IS partners to develop analytical models and insights across the PR Operations Organization to answer/solve specific business problems. This role will lead advanced analytics projects from the front and will be responsible for end-to-end execution. This role will innovate and create significant business impact through the strategic use of advanced analytics techniques.Competencies / Skills:Experience leading projects and in execution of the projects end-to-end.Experience with databases including relational, SQL, and Graph.Programming experience with Python, R, or SAS and experience with ML libraries like scikit-learn, MLib, Keras, TensorFlow, Pytorch, etc.Write well-abstracted and reusable code in Python, R, or Scala; you freely navigate in Linux environment.Detail-oriented technical aptitude with strong logical, problem-solving, and decision-making skills.Excellent organization/planning skills and talent for managing many large and complex datasets.Ability to collaborate and influence business partners and other IS resources to drive analytic projects end-to-end.Excellent communication skills to communicate analysis in a clear, precise, and actionable manner.Experience working with large datasets, experience working with distributed computing tools (Spark, Hive, etc.).Degree in Data Science, Engineering, Mathematics, Applied Physics, Statistics, or Operations Research.Additional Responsibilities:Leading, using, and developing data science, machine learning, and artificial intelligence capabilities across Amgen’s commercial organization.Leading projects and being part of cross-functional teams on projects and/or programs aimed to systematically derive insights that ultimately provide substantial business value for Amgen.Taking the initiative and working independently with minimal supervision.Identifying business needs, performing SWOT analysis, proposing potential analytical approaches for solutions, obtaining approvals, and executing the work end-to-end.Building high-performance algorithms, prototypes, predictive models, and proof of concepts using Python or R.Working with SQL and other DB query languages.Leading, collaborating, and communicating cross-functionally with stakeholders to develop appropriate methodology to answer specific business questions.Presenting analysis ideas, progress, and results to business partners in a clear and impactful manner.Creating powerful stories in PowerPoint. Well-versed in MS Office suite specifically Excel and PowerPoint.Assuring compliance with regulatory, security, and privacy requirements as it relates to data assets.Education:Doctorate degree OR Master’s degree in Science or Engineering and 3 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience OR Bachelor’s degree in Science and Engineering and 5 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience.
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