Senior Data Scientist

Innovaworkforce is seeking a Senior Data Scientist in Juncos, PR onsite, offering USD 58-60 per hour; requires a Doctorate and a minimum of 2 years of experience.

Responsibilities

• Lead and develop data science, machine learning, and AI capabilities across Amgens commercial organization.
• Head projects and participate in cross-functional teams to systematically derive insights that deliver substantial business value for Amgen.
• Take initiative and work independently with minimal supervision.
• Identify business needs, perform SWOT analyses, propose analytical approaches, obtain approvals, and execute end-to-end.
• Build high-performance algorithms, prototypes, predictive models, and proofs of concept using Python.
• Work with SQL and other database query languages.
• Lead, collaborate, and communicate cross-functionally with stakeholders to design methodologies that answer specific business questions.
• Present analysis ideas, progress, and results to business partners in a clear and impactful manner.
• Create compelling stories in PowerPoint and be proficient with MS Office, especially Excel and PowerPoint.
• Ensure compliance with regulatory, security, and privacy requirements related to data assets.

Requirements

• Manufacturing support experience, with vial filling experience preferred.
• Experience deploying or integrating AI solutions into manufacturing or operational environments.
• Knowledge of artificial intelligence, software development, and general computer literacy.
• Hands-on experience developing AI/ML models for process or task optimization.
• Familiarity with 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 JMP or other statistical software.
• 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 literacy with proficiency in AI tools and digital technologies.
• Degree in Data Science, Engineering, Mathematics, Applied Physics, Statistics, or Operations Research.
• Experience leading projects and end-to-end executions.
• Experience with databases including relational, SQL, and Graph.
• Programming experience with Python, R, or SAS and familiarity with ML libraries like scikit-learn, MLlib, Keras, TensorFlow, PyTorch, etc.
• Ability to write well-abstracted, reusable code in Python, R, or Scala; comfortable navigating a Linux environment.
• Detail-oriented technical aptitude with strong logical, problem-solving, and decision-making skills.
• Excellent organization and planning skills with the ability to manage many large and complex datasets.
• Ability to collaborate with and influence business partners and IS resources to drive analytics end-to-end.
• Excellent communication skills to present analysis clearly, precisely, and actionably.
• Experience working with large datasets and distributed computing tools (Spark, Hive, etc.).
• Passion for learning and staying current with developments in advanced analytics.
• Biotech or Pharma experience.

Technologies

• Python
• TensorFlow
• PyTorch
• OpenCV
• JMP
• R
• SAS
• scikit-learn
• MLlib
• Keras
• Scala
• Linux
• Spark
• Hive
• SQL
• Graph databases
• PowerPoint
• Excel

Highly Preferred

• Prefer Computer Engineering or Computer Sciences degree
• Special courses or certificates in AI models