Lead / Senior Data Scientist – Manufacturing and Supply Chain

Vertex Pharmaceuticals
Vertex Pharmaceuticals

Job Overview

Are you a Data Scientist? Are you experienced in machine learning and advanced analytics, and looking to apply your expertise in a collaborative and challenging environment? Are you passionate about the future of healthcare? You might be the person we are looking for.

Our enterprise-wide data science and data engineering team is looking for an individual experienced in applying machine learning to manufacturing and supply chains. You will have an exceptional opportunity to serve as a manufacturing lead within the data science team, in addition to exposure to collaborative projects in other parts of the business. You will work on a highly collaborative, centralized team of data scientists, engineers, and strategists to deliver analytical insights and data products that drive value and impact for our highest priority business needs.

Responsibilities include:

  • Work with a team of data scientists/engineers and cross functional partners to collaboratively develop solutions
  • Develop and deploy statistical and ML pipelines starting with structured and unstructured data, including continuous model testing and maintenance
  • Utilize process control methods, anomaly detection algorithms, and optimization approaches for process improvement in manufacturing
  • Collaborate with manufacturing and IT colleagues to define data architecture that meets both present and future goals of the business
  • Provide ML expertise in the design and delivery of data products for broad consumption by business partners
  • Mentor and support the training of technical and non-technical teams in data science and machine learning
  • Participate in the broader data science community to stay current with methodology, software, and data development and availability
  • Communicate and visualize the output of analyses, including both written and verbal communication, to business leaders and non-technical audiences
  • Conceptualize and deploy data science solutions for business questions
  • Bring an entrepreneurial mindset, openness, transparency, and collegiality to your everyday work

Minimum Qualifications:

  • PhD in a computational and quantitative discipline (e.g. mathematics, statistics, computer science, informatics, physics) or Masters Degree in a similar field of study
  • A minimum of 3-5 years industry experience in applying data science to solve problems in manufacturing and supply chain space
  • Deep expertise in machine learning including hands on experience with most of the following methods: regression techniques, neural networks, decision trees, clustering, pattern recognition, dimensionality reduction
  • Proven experience in applied statistics and ML in a business setting, and command of the typical use cases in the field
  • Deep understanding of the tools of the trade, including a variety of modern programming languages (R, Python, JavaScript) and open-source technologies (Linux, TensorFlow, Hadoop, and Spark)
  • Knowledge of database and visualization tools (e.g. SQL, Tableau, Power BI, D3)
  • Comfort working and communicating with non-technical teams to translate business questions to analytically actionable questions, and a strong desire to build meaningful solutions for a life sciences business
  • Ability to independently set goals, complete deliverables, and collaborate and with teams within and across functions
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