Lead / Senior Data Scientist – Manufacturing and Supply Chain

Vertex Pharmaceuticals
Vertex Pharmaceuticals

Job Overview

Job DescriptionAre 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 solutionsDevelop and deploy statistical and ML pipelines starting with structured and unstructured data, including continuous model testing and maintenanceUtilize process control methods, anomaly detection algorithms, and optimization approaches for process improvement in manufacturingCollaborate with manufacturing and IT colleagues to define data architecture that meets both present and future goals of the businessProvide ML expertise in the design and delivery of data products for broad consumption by business partnersMentor and support the training of technical and non-technical teams in data science and machine learningParticipate in the broader data science community to stay current with methodology, software, and data development and availabilityCommunicate and visualize the output of analyses, including both written and verbal communication, to business leaders and non-technical audiencesConceptualize and deploy data science solutions for business questionsBring an entrepreneurial mindset, openness, transparency, and collegiality to your everyday workMinimum Qualifications:PhD in a computational and quantitative discipline (e.g. mathematics, statistics, computer science, informatics, physics) or Master’s Degree in a similar field of studyA minimum of 3-5 years industry experience in applying data science to solve problems in manufacturing and supply chain spaceDeep expertise in machine learning including hands on experience with most of the following methods: regression techniques, neural networks, decision trees, clustering, pattern recognition, dimensionality reductionProven experience in applied statistics and ML in a business setting, and command of the typical use cases in the fieldDeep 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 businessAbility to independently set goals, complete deliverables, and collaborate and with teams within and across functionsCompany InformationVertex is a global biotechnology company that invests in scientific innovation. Vertex is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person’s race, color, sex, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, sexual orientation, marital status, or any characteristic protected under applicable law. Vertex is an E-Verify Employer in the United States. Vertex will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law. Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should make a request to the recruiter or hiring manager, or contact Talent Acquisition at [email protected] time

View More
Job Detail
Shortlist Never pay anyone for job application test or interview.