Senior Data Scientist at Johnson & Johnson

At Johnson & Johnsonwe believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented treated and curedwhere treatments are smarter and less invasive andsolutions are our expertise in Innovative Medicine and MedTech we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow and profoundly impact health for more at Job Function: Data Analytics & Computational SciencesJob Sub Function: Data ScienceJob Category:Scientific/TechnologyAll Job Posting Locations:Horsham Pennsylvania United States of America Raritan New Jersey United States of AmericaJob Description:SENIOR DATA SCIENTISTTo maintain our #1 Healthcare supply chain serving our patients customers and parents and remaining agile in the new digital world J&J is looking to build capability in developing supply chain solutions that enable supporting the above initiatives.This hybrid position may be based at any Johnson & Johnson office in New Jersey (Titusville Horsham or Raritan). If you are passionate about leveraging data science to address real-world challenges and foster innovation in a global environment we encourage you to apply.The role requires both an in-depth knowledge of existing advanced analytics practices and approaches including Machine Learning Mathematical Optimization Simulation data pipelines and advanced visualization and the ability to influence and convince others and customize and work in a multidisciplinary environment to drive business solutions. Knowledge of application of advanced analytics to manufacturing and especially pharmaceutical / healthcare / medical device manufacturing is highly desirable.The candidate will report to director of J&J SC Data Science to:Gather business requirements from business partners and accurately translate those into digital & data science solution prototypes involving predictive analytics/simulation components validate the prototypes and work closely with product development teams to scale the prototypesBuild predictive/prescriptive model prototypes encoding complex business processes for deployment of solutions supporting business KPI improvementWork closely with product development teams to ensure that prototypes are scaled optimally with respect to adherence to business requirements solution cost and agility to flex the solutionsWork closely with vendors to deploy third party algorithmic components into our digital platforms.Assist digital product managers in new digital product launches i.e. ensuring that the right user tests are designed for product validation develop metrics and product analytics to monitor and optimize productsAssist digital product managers in sustaining and optimizing existing digital & data science products and platforms. This would involve continuous improvements to already deployed models by testing new generations of data science models evaluating optimal ways to implement those models (e.g. open source vs vendor sourced analytic components)Monitor external trends on new types of modeling approaches & solution capabilities to continuously improve deployed digital solutions in targeted supply chain areas such as value chain management planning customer analytics supplier risk management etc. QualificationsMasters degree in Operations Research/Econometrics/Financial Engineering/Systems Engineering or other STEM disciplines. At a minimum 2-3 years of work experience is required.Must have demonstrated competence in working with business partners to translate business requirements into digital solution features and data science modelsStrong expertise in Python libraries such as numpy scipy pandas scikit-learn pyomo simpy etc.. Proven experience demonstrating deployment of models built using python libraries in production environmentMust have expertise in SQL querying databases for exploratory data analysis and data profiling. Some degree of experience with NOSQL databases such as Graph Databases (E.g. NEO4J) is preferredMust have experience with deployment of open source based models into production within cloud based digital stacks. Candidates must have demonstrated the ability to work with data engineers to leverage data pipelines for operationalizing models.Must have expertise in various types of Operations Research models E.g. Optimization models (Linear Programming Non-Linear Programming Mixed Integer Programming) Simulation models (Discrete Event Models Monte Carlo Simulations Etc.) parameter estimation models (e.g. Markov Chain Monte Carlo Etc.)Experience with modeling supply chain management particularly in the healthcare industry (pharmaceuticals/medical devices) is highly desiredFamiliarity with Azure or AWS Cloud components such as Databricks and associated big data frameworks such as Spark PySpark etc.Must have intermediate to high degree of expertise in tableau or similar visualization tools to created prototypes of dashboards for validation and insights deliveryFamiliarity and experience with ERP systems like SAP including unstructured data sources is preferredRequired Skills:Preferred Skills:Advanced Analytics Business Intelligence (BI) Coaching Collaborating Critical Thinking Data Analysis Database Management Data Privacy Standards Data Reporting Data Savvy Data Science Data Visualization Econometric Models Process Improvements Technical Credibility Technologically Savvy Workflow AnalysisThe anticipated base pay range for this position is :$109000.00 - $174800.00Additional Description for Pay Transparency:Subject to the terms of their respective plans employees are eligible to participate in the Companys consolidated retirement plan (pension) and savings plan (401(k)).Subject to the terms of their respective policies and date of hire employees are eligible for the following time off benefits:Vacation 120 hours per calendar yearSick time - 40 hours per calendar year; for employees who reside in the State of Colorado 48 hours per calendar year; for employees who reside in the State of Washington 56 hours per calendar yearHoliday pay including Floating Holidays 13 days per calendar yearWork Personal and Family Time - up to 40 hours per calendar yearParental Leave 480 hours within one year of the birth/adoption/foster care of a childBereavement Leave 240 hours for an immediate family member: 40 hours for an extended family member per calendar yearCaregiver Leave 80 hours in a 52-week rolling period10 daysVolunteer Leave 32 hours per calendar yearMilitary Spouse Time-Off 80 hours per calendar yearAdditional information can be found through the link below.For additional general information on Company benefits please go to: - Experience:Senior IC Key Skills Laboratory Experience,Mammalian Cell Culture,Biochemistry,Assays,Protein Purification,Research Experience,Next Generation Sequencing,Research & Development,cGMP,Cell Culture,Molecular Biology,Flow Cytometry Employment Type : Full-Time Experience: years Vacancy: 1 Monthly Salary Salary: 109000 - 174800