Senior Data Scientist, Accounting and ERP 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:New Brunswick New Jersey United States of AmericaJob Description:We are searching for the best talent for Senior Data Scientist Accounting and ERP to be in New Brunswick NJ.About Innovative Medicine Our expertise in Innovative Medicine is informed and inspired by patients whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.Join us in developing treatments finding cures and pioneering the path from lab to life while championing patients every step of the way.Learn more at a Senior Data Scientist in Global Finance Data Science Team you will be responsible for delivering data science production processes to a high standard contributing to products that are consumed and scrutinized by senior leadership. You will work in a global team of Data Scientists Data Engineers and Machine Learning Engineers to advance data science/AI roadmap for J&Js Global Finance function. You will help deliver value-added insights and analytics to our finance and business leaders reduce manual workload through automation and enhance user-experience.Project focus areas will include the application of Machine Learning and Generative AI to technical accounting use cases and using data from SAP Hana Datahub and Datasphere. This includes aligning finance and business needs input data validations from different source systems data reconciliation/validations and work on other ongoing enhancements/ad-hoc requests from leadership etc.You will aid data science projects across their lifecycle: Design/ proof-of-concept (PoC) development data pipelines and engineering deployment adoption by end-users and ongoing enhancements. The capabilities developed will include predictive Gen AI descriptive analytics data visualization and decision support. You will need to ensure that PoCs are put into production-grade with correct amount of automation data validations and systems/process integration. This role will involve understanding the needs of business stakeholders and advocating the merits of data-driven analytics to provide viable solutions.You will be responsible for:Develop data science solutions based on the needs of business/ finance stakeholders.Build and adjust data engineering pipelines for large datasets from finance/ERP systems and automate data science processes.Understanding the nuances of accounting and finance data so this can be appropriately applied in Machine Learning and AI models.Iteratively improve the process and models to solve problems testing and documenting changes aligning changes within the team.Develop and deploy data science and AI solutions including data processing algorithm development data visualization and communication of insights to stakeholders.Research and implement statistical and machine learning models monitor model performance and continuously improve existing models.Collaborate with finance commercial leaders technology teams and external partners to deliver end-to- end solutions ensuring compliance and risk management.Experienced using accounting data within SAP data tables understanding the contents of tables and how they are used within the accounting process.Knowledge of Python programming and Data Science Cloud platforms like AWS Databricks and Domino.Able to work independently and under time pressure to deliver a process investigating and solving data issues in an explainable way.Skilled in data visualization and dashboarding using Tableau or PowerBI.Knowledgeable in advanced statistical techniques and concepts such as regression properties of distributions and statistical tests.Experience of end-to-end production deployment from concept to production-grade models and experienced with Gen AI technologies like AWS Bedrock Azure OpenAI service and Joule.Familiar with automated workflow tools like Alteryx and workflow orchestration tools like Airflow as well as standards and best practices for technical documentation using tools like JIRA and Confluence.Strong data analytics skills attention to detail with business/finance logics and experience working across multiple levels of stakeholders to create context around key business drivers.Qualifications / Requirements:Minimum of 5 years of Data Science/ AI experience in an industry setting preferably in a Finance or Healthcare setting.Alternatively: 5 years accounting experience with intensive use advanced analytics and data handling techniques.Minimum of Bachelors degree required within Science Economics Business Analytics Data Science Finance Computer Science Engineering or any other quantitative or STEM discipline. Masters degree in a relevant field preferred.Other:Located in New Brunswick NJ with up to 5% travel.Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity age national origin disability protected veteran status or other characteristics protected by federal state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants needs. If you are an individual with a disability and would like to request an accommodation external applicants please contact us via . Internal employees contact AskGS to be directed to your accommodation resource.#JNJDataScienceRequired Skills:Preferred Skills:The anticipated base pay range for this position is :The anticipated base pay range for this position is $147000 to $169050 USDAdditional Description for Pay Transparency:Subject to the terms of their respective plans employees and/or eligible dependents are 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. 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)). This position is eligible to participate in the Companys long-term incentive program. 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 year Sick time - 40 hours per calendar year; for employees who reside in the State of Washington 56 hours per calendar year Holiday pay including Floating Holidays 13 days per calendar year Work Personal and Family Time - up to 40 hours per calendar year Parental Leave 480 hours within one year of the birth/adoption/foster care of a child Condolence Leave 30 days for an immediate family member: 5 days for an extended family member Caregiver Leave 10 days Volunteer Leave 4 days Military Spouse Time-Off 80 hours Additional information can be found through the link below. 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: 147000 - 169050