Principal Scientist- Data Science

About the position Responsibilities • 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 required Nice-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 plus Benefits • 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