Takeda is seeking a Data Scientist Associate to leverage advanced analytics to deliver data-driven solutions and insights that drive impactful business outcomes within the PDT DD&T team. The role aims to enhance organizational performance by analyzing datasets, building predictive models, and deploying solutions.
Requirements
- Solid understanding of applied statistical and math modeling, and ML techniques (e.g. Clustering, Classification, Regression, Dimensionality Reduction, Ensemble Methods, Natural Language Processing.
- In depth experience in Python, PySpark, or R for data curation, transformation, analysis, modeling, and visualization tasks.
- Solid understanding of current and emerging AI/Advanced Analytics technologies.
- Expertise in the areas of Data, Data Modeling, Statistical Methods, Quantitative Techniques, and AI/ML preferred.
- Familiarity with Analytics processes and service models.
- Leverage advanced technologies such as AI/ML and effective statistical models to drive business results.
- Harvest enterprise analytics platforms and tooling to support BI solutions.
Responsibilities
- Assist Data Science team members in addressing complex problems, conducting data analysis, and developing cutting-edge analytics solutions tailored to business needs.
- Design, develop, deploy, and operationalize advanced statistical methods, data science techniques, and Artificial Intelligence (AI/ML) solutions to enhance and optimize business operations.
- Monitor, evaluate, and refine data, analytics models, and experiments periodically to validate hypotheses, ensuring alignment with evolving business goals and continued delivery of value.
- Design, develop, and implement decision-support solutions leveraging advanced statistical methodologies, data science/machine learning (ML), and a variety of quantitative techniques (e.g., simulations, mathematical modeling, etc.) to address complex business challenges effectively.
- Create and maintain code and processes that enable the operationalization of data-driven solutions, seamlessly aligning with the daily operational needs of the business.
- Collaborate with the IT development team to strategize, design, and establish processes for data collection, ingestion, and delivery, along with developing optimal data models to fulfill analytical requirements.
- Design and deliver comprehensive analytics solutions by adhering to the complete lifecycle of statistical and AI/ML processes, ensuring the timely production of high-quality, impactful deliverables.
Other
- Translate business processes and requirements into actionable solutions by thoroughly understanding analytics drivers and data to be modeled, applying the most suitable quantitative techniques to solve challenges effectively.
- Collaborate closely with cross-functional teams to embed data-driven insights into business strategies, processes, and operations, fostering data-centric decision-making across the organization.
- Engage with business stakeholders to identify pain points, articulate problem statements, define scope, and build data analytics business cases.
- Work closely with cross-functional teams, including GenAI/Agentic AI developers, to embed data-driven insights into business workflows and decision-making processes, harnessing AI-BI capabilities for enhanced operational efficiency.
- Provide analytical insights to support business solution development and implementation, influencing solution design and driving improved customer experiences.
