Takeda is seeking a skilled Software Developer to join the Digital Innovation and AI team within Global Manufacturing & Supply / Global Quality Data Digital & Technology (GMS/GQ DD&T) to identify capability gaps, design and deploy digital solutions, accelerate experimentation, and drive end-to-end improvements in business operations.
Requirements
- 5+ years of hands-on experience applying artificial intelligence, machine learning, and data mining to design, prototype, and deliver next-generation analytics solutions.
- Proficiency in agile product development and expert-level use of tools such as Jira, Confluence, Databricks, Python or R, Scala, and JavaScript.
- Experience implementing cloud infrastructure on AWS, including services like EKS, EventBridge, SQS, SNS, CloudFront, S3, DynamoDB, and ElasticCache.
- Comfortable working with both structured and unstructured data, including data validation and cleaning.
- Familiarity with batch ETL pipeline development, SQL, and data modeling using technologies such as Spark and Hadoop (a plus).
- Experience building custom solutions on the Microsoft 365 platform (a plus).
- Leverage and fine-tune open-source algorithms where appropriate to accelerate development.
Responsibilities
- Translate business and functional requirements into clear technical specifications or user stories, ensuring solutions align with strategic objectives.
- Design, code, and unit test new system functionality using modern development practices and tools.
- Apply agile engineering methodologies and a range of software and web technologies to rapidly build innovative, user-centric digital solutions.
- Ensure robust continuous integration and deployment pipelines are in place to maintain system stability through upgrades and enhancements.
- Maintain comprehensive documentation for all applications and systems to support future maintenance, upgrades, and regulatory compliance.
- Follow secure coding practices that align with ethical data use, regulatory requirements, and industry standards.
- Collaborate closely with Data and AI Scientists to prototype and iterate on solutions, delivering MVPs that gather early feedback from stakeholders.
Other
- A successful candidate will bring a strong technical foundation, a collaborative mindset, and a passion for innovation.
- Operate as a strong individual contributor and team player, with the ability to influence cross-functional teams without direct authority.
- Strong ability to troubleshoot and guide engineering teams through technical challenges and roadblocks.
- Solid understanding of industry trends in digital transformation and artificial intelligence, with a passion for staying ahead of the curve.
- A natural mentor who enjoys sharing knowledge and helping others stay current with emerging technologies.