Principal Scientist- Data Science
About the positionResponsibilities• Gather requirements for development of machine learning based solutions targeted to our pharmaceutical manufacturing sites• Work closely with functions such as manufacturing, quality and other site subject matter experts• Develop machine learning/simulation modeling proofs-of-concept (PoCs) that address key operational problems and generate business value. Validate those with operational experts• Work with data engineers and visualization experts to scale-up those PoCs into full fledged solutions• Stay on the cutting edge of data science research and big data technologies• Work closely with colleagues to keep up-to-date with the latest approaches and advances in data science and evaluate vendor tools and external data sets as required• Works to achieve operational, functional, and/or business targets with impact on Data Science results.• Creates, tests, validates, and deploys complex, multi-stage models and/or scaling up of existing models and deep learning techniques. • Develops experimental and analytic plans to improve modeling accuracy determining cause and effect relationships. • Derives and communicates insights from complex structured and unstructured sources of data, drawing out connections, links, or insights across various analyses. • Conducts analysis of third-party data vendors and supports contract negotiations to bring in leading data science tools, methods, and practices.• Analyzes processes and workflows to make recommendations for process improvements. • Collaborates with analysts and data engineering on data mining architectures, algorithms, and models. • Coaches and trains junior colleagues in techniques, processes, and responsibilities. • Integrates Johnson & Johnson’s Credo and Leadership Imperatives into team goals and decision-making. Requirements• M.S., Ph.D. Industrial Engineering/Operations Research/Engineering / STEM discipline. • At least 3 years of work experience is ideal for PhD candidates.• At least 5 years of work experience would be preferred for Masters candidates• Deep expertise in mathematical programming methods (MILP, MINLP Etc.), scenario simulation modeling techniques (discrete event simulation/Monte Carlo simulation) is required. • Ability to translate complex operational problems into mathematical models is a must• Experience with solver such as Gurobi/Cplex solvers and simulation tools such as Simio/Extend/Arena etc. is required• Experience with supervised and unsupervised machine learning algorithms is required• Experience with key python libraries such as Pyomo, Numpy, SciPy is required• Experience with SQL queries for data extraction and preliminary data analysis and profiling is required• Experience with ERP systems like SAP and non-ERP systems including unstructured data sources is required• Experience in requirements gathering for operations research solutions is required• Experience with leading data science projects (requirements gathering, proof-of-concept build, working with data engineers for solution data connectivity, working with UX engineers for visualization, post-deployment lifecycle management) is requiredNice-to-haves• Knowledge of application of advanced analytics to manufacturing and especially pharmaceutical / healthcare / medical device manufacturing is highly desirable.• Experience with graph databases such as NEO4J would be ideal• Exposure to manufacturing and/or supply chain planning processes in healthcare industry (pharma/med devices) is a plusBenefits• The Company maintains highly competitive, performance-based compensation programs. • Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation’s performance over a calendar/performance year.Bonuses are awarded at the Company’s discretion on an individual basis. • Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. • Employees may be eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)). • Employees are eligible for the following time off benefits: o Vacation – up to 120 hours per calendar year o Sick time - up to 40 hours per calendar year; for employees who reside in the State of Washington – up to 56 hours per calendar year o Holiday pay, including Floating Holidays – up to 13 days per calendar year of Work, Personal and Family Time - up to 40 hours per calendar year Apply tot his job