Principal TSMS Data Scientist

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world.Organization OverviewThe TSMS function provides technical expertise and support to Dry Product Operations (DPO) ensuring compliance with cGMP, regulations, company standards and business practices. The primary areas of support include technical expertise for process manufacturing and business process improvements, compliance with business systems, new product introduction, site technical agenda for continuous improvement, process and cleaning validation programs.ResponsibilitiesAs a Data Scientist at Lilly del Caribe, Inc., Carolina, Puerto Rico you will be responsible for analyzing complex data sets, automate process monitoring program, developing predictive models, perform multivariate analysis, leveraging generative AI, and identifying insights that can be used to drive business decisions. You will work closely with cross-functional teams across the enterprise to understand business problems, develop hypotheses, and test those hypotheses with data.Lead the local SIMCA Program ongoing deployment and sustainability.Develop and implement machine learning algorithms to analyze large data sets Collaborate with stakeholders to understand business problems and provide data-driven solutions Communicate insights and recommendations to technical and non-technical stakeholders Conduct research to identify emerging trends and technologies in data scienceManage and prioritize multiple projects simultaneously Solve complex business problems with advanced analytics and AI/ML methods Develop and implement predictive modelsImprove data monitoring program Ensure data quality and accuracy Basic RequirementsPh.D. in Computer Science, Applied Mathematics focusing on Numerical Analysis, High Performance Computing, Engineering or other discipline related with at least 5 years related working experience.Experience with machine learning algorithms and statistical modeling Proficiency in programming languages.Additional Skills/PreferencesStrong analytical skills Problem-solving skills Excellent communication skills Attention to detailBasic to intermediate level background in oral solid dosage pharmaceutical manufacturing operation is highly desirable.Ability to work with diverse data sources and data types Familiarity with data visualizationAbility to work in a fast-paced, collaborative environment  Experience with deep learning algorithms and reinforcement learning Familiarity with cloud computing platforms such as AWS or Azure Knowledge of generative AI applications Experience with data engineering and data pipeline development Strong leadership and project management skillsOther ConsiderationsThis position is based in Carolina, PR. Strong communication skills and the ability to collaborate with other parts of the organization and across multiple levels are essential. Flexibility is required to provide technical support and continuity to a 24 hours process operation. Candidate must also be willing to travel. Work as a resource in other strategic areas of the business, based on business needs.Important Notice: In order to maintain the excellent reputation of our company, the quality of our products, and the safety of our working environment, the company will take all reasonable measures to ensure that drug abuse by employees or other persons does not jeopardize the safety of our operations or the quality of our products or adversely affect in any way the company or its employees.The company recognizes that drug use both on and off the job can be detrimental to the company and its efforts to provide a drug-free workplace. Even if prescribed under a state medical marijuana law, marijuana remains illegal under federal law. Marijuana is considered unauthorized by Lilly.Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women’s Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups.Actual compensation will depend on a candidate’s education, experience, skills, and geographic location. The anticipated wage for this position is$52,500 - $154,000Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly’s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.#WeAreLilly