CAPA Specialist

By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge.Job DescriptionROLE OBJECTIVEWe are seeking an innovative and technically strong data analytics, science and automation person with a background in optimization, machine learning, statistical modeling/analysis and visualization. This role requires the person to have strong quantitative modeling skills and the ability to apply optimization/statistical/machine learning methods to complex decision-making problems, with data coming from various data sources. You’ll analyze data to drive useful insights to address core business issues or to drive strategic outcomes. You'll use visualization, statistical and analytics models, AI/ML techniques, Modelops and other techniques to develop these insights.The successful candidate should have strong communication skills, be able to work closely with stakeholders and translate data-driven findings into actionable insights. The successful candidate will be a self-starter, comfortable with ambiguity, with strong attention to detail and ability to work in a fast-paced and ever-changing environment.Key accountabilitiesDevelop data science and ML methodologies to extract insights and derive meaningful patterns from data.Design and implement recommendation systems to enhance user experiences, increase customer engagement, and drive revenue generation.Analyze and preprocess large data sets, ensuring data quality and accuracy for model development.Apply statistical analysis, hypothesis testing, and data visualization techniques to extract actionable insights and communicate findings to stakeholders.Utilize predictive modeling and machine learning algorithms to optimize business outcomes, such as customer segmentation, revenue generation, and ad targeting.Collaborate with cross-functional teams to develop A/B testing frameworks, monitor model performance, and iterate on models based on feedback.Stay up-to-date with the latest advancements in DL, ML, graphs, NLP, and recommendation systems, and apply them to improve data-driven solutions.Building and maintaining business datasets to meet business insights and analytics needsContinuous monitoring of data quality and establish consistent metrics to measure quality of data.SKILLS and LEADERSHIP CAPABILITIESExperience and EducationBachelor’s degree in software engineering field; MBA ( preferred)8-10 years of total experience including 4-5 years of experience in, Data Analytics, Data Science and Automation.Good understanding of Indian Healthcare market/Bio-pharmaceutical industry trends, regulations, and challengesExperience with pharmaceutical data sources and analytics tools (sales, secondary, CRM data, SQL, Python, R, Tableau)Data Science background mustExperience in development of BI tools ( Power BI ) is mandatoryAbility to work in a matrix organizationRequirement for compliance to highest ethical standardsSound understanding of the use of digital and multi-channel routes of stakeholder engagementCritical BehaviorsCan effectively manage change and shift gears comfortably; highly effective in ambiguous environments; able to deliver expected results with minimal direction and guidance.Ability to manage multiple assignments, applying proven capability to assess competing priorities in a high energy, fast-paced environment in a geographically dispersed organization.Good decision-making and problem-solving skills; proven research skills to gather data, best practices and points of view to ensure well-grounded judgment.Strong stakeholder management skills and demonstrated success in influencing stakeholdersSelf-directed, executor with experience rapidly implementing new tools and processesExcellent interpersonal skills and experience working with others in high-pressure situationsDemonstrates business acumen and and translate these into actionable and compelling talent management initiativesDemonstrates curiosity and capacity for learningLocationsIND - GurgaonWorker TypeEmployeeWorker Sub-TypeRegularTime TypeFull time