Sr. Data Scientist- 35337

CIS International•Juncos, PR

19h•Onsite

About The Position

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.

Requirements

Doctorate or Masters + 2 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience.
Bachelors + 4 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience.
Associates + 8 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience.
High school/GED + 10 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience.
Degree in Data Science, Engineering, Mathematics, Applied Physics, Statistics, or Operations Research.
Experience leading the projects and in executions 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 scikitlearn, 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.).
Passion for learning and staying on top of current developments in advanced analytics.
Biotech / Pharma experience

Nice To Haves

Highly prefer Computer Engineering or Computer.
Special Courses or certificates in AI models.
Experience with automated inspection systems development and implementation.
Hands-on experience developing AI/ML models for image analysis, defect detection, classification, or process optimization.
Experience with Computer Vision technologies and industrial camera systems.
Knowledge of Machine Learning, Deep Learning, Generative AI, and Large Language Models (LLMs).
Experience using Python, TensorFlow, PyTorch, OpenCV, or similar AI/ML frameworks.
Basic knowledge of statistical analysis using Minitab, JMP, or other statistical software.
Understanding of inspection development processes and validation methodologies.
Experience generating technical documentation, protocols, reports, and development records.
Knowledge of Good Documentation Practices (GDP), quality systems, and compliance requirements.
Strong project management and problem-solving skills.
Ability to work in cross-functional teams and communicate effectively with technical and non-technical stakeholders.
Quality and compliance-oriented mindset with attention to detail.
Computer literate with proficient use of Artificial Intelligence (AI) tools and digital technologies.
Experience in regulated industries such as pharmaceutical, biotechnology, medical devices, or manufacturing is a plus.
Experience deploying or integrating AI solutions into manufacturing or operational environments is highly desirable.

Responsibilities

Leading, using and developing data science, machine learning, and artificial intelligence capabilities across Amgens commercial organization
Leading the projects and be part of cross functional teams on projects and/or programs with aims to systematically derive insights that ultimately derive substantial business value for Amgen.
Taking the initiative and work independently with minimal supervision
Identifying business needs, doing SWOT analysis, proposing potential analytical approaches for solutions, obtain approvals and the execute the work end to end.
Building high-performance algorithms, prototypes, predictive models and proof of concepts using Python
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 clear and impactful manner
Creating powerful stories in PowerPoint.
Assuring compliance with regulatory, security, and privacy requirements as it relates to data assets