Principal Data Scientist, Global DD&T(Data, Digital & Technology), Japan

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 Description:Please note this job requires business level Japanese in speaking, writing, and reading.タケダの紹介:タケダは「世界中の人々の健康と輝かしい未来に貢献する」ことを企業の存在意義（パーパス）としています。そして目指す未来を共有しながら、一人ひとりが自分の可能性を引き出し、お互いの個性を認め合う、多様性にあふれた先進的な組織作りに取り組んでいます。私たちと一緒に、世界中の人々のいのちに貢献し、さらなる成長と活躍を目指しませんか。タケダはグローバルな研究開発型のバイオ医薬品のリーディングカンパニーです。従業員は創業時から受け継いできたタケダの価値観であるタケダイズム（誠実＝公正・正直・不屈）を道しるべとしながら、患者さんに寄り添い（Patient）人々と信頼関係を築き（Trust）社会的評価を向上させ（Reputation）持続可能な事業を発展させる（Business）を日々の行動指針としています。”Better Health for People, Brighter Future for the World” is the purpose of a company. We aim to create a diverse and inclusive organization where people can thrive, grow and realize their own potential while enabling our purpose. We continue to innovate and drive changes that will transform the lives of patients. We’re looking for like-minded professionals to join us.Takeda is a global values-based, R&D-driven biopharmaceutical leader. We are guided by our values of Takeda-ism, which has been passed down since the company’s founding. Takeda-ism incorporates Integrity, Fairness, Honesty, and Perseverance, with Integrity at the core. They are brought to life through actions based on Patient-Trust-Reputation-Business, in this order.OBJECTIVES/PURPOSE :Lead the design, development, and deployment of advanced data science and Artificial Intelligence (AI) solutions to address complex business challengesCollaborate with cross-functional teams to integrate data-driven insights into business strategies and operationsDevelop best practices and frameworks for AI and data science methodologies and toolsDrive code quality and consistency processes ensuring high-quality, efficient, and secure AI and data science, while also fostering a culture of continuous improvement and collaborationDrive and accelerate Takeda’s community of data scientists culture, accelerating continuous learning and improvementACCOUNTABILITIES :Define and implement AI & data science solutions supporting Takeda’s global strategic AI Value Creation program and priorities, enhancing business objectivesOversee and drive the lifecycle of data science and AI projects and products, ensuring successful and timely deliveryEstablish, drive and manage Model Registry FrameworkDrive Model & Machine Learning Operations (MML Ops) automationPartner with various business units to identify and capitalize on opportunities for data-driven decision-makingPresent data-driven insights and strategic recommendations to senior management and key stakeholdersStay abreast of industry advancements and incorporate best practices and new technologies into data science processes.Ensure the accuracy, reliability, and ethical standards of data science and model outputs, excute respective code reviewsTrains and mentors new or junior team membersUphold and enforce data governance policies, ensuring compliance with regulatory standards.CORE ELEMENTS RELATED TO THIS ROLE :We are currently hiring a hands-on Data Scientist at Principal Level within Enterprise Data & Analytics which is a part of Global Data, Digital and Technology unit at Takeda.This person will respond directly to the Head of Data Science and Advanced AI in executing advanced data science, AI and modeling activities.This is an individual contributor role, so you should be prepared to roll up your sleeves and flex a wide variety of skills.You will be able to adapt quickly to shifting priorities, manage through ambiguity, while keeping focus on key implementation opportunities.DIMENSIONS AND ASPECTS :Technical/Functional (Line) Expertise: (Breadth and depth of knowledge, application and complexity of technical knowledge) Strong expertise and experience in Generative AI (GenAI) / AI /Machine Learning algorithms, respective programming knowledgeStrong expertise in GenAI/AI/ML best practices, e.g. code reviewCapabilities to translate business needs into data analytics concepts and the other wayHands-on, able to implement and execute data science initiatives, analysis, machine learningAgile project management skillsLeadership: (Vision, strategy and business alignment, people management, communication, influencing others, managing change) A firm grasp of industry, scientific and digital, artificial intelligence, machine learning and data science trends and market conditions, to develop solutions enhance compliance and quality of life for patientsRole requires business partnership interface providing linking and influencing cross-functional stakeholderInfluence best in class AI and data science culture, develop and elevate organizational performanceDecision-making and Autonomy: (The capacity and authority to make organizational decisions, autonomy in decision-making, complexity of decisions, impact of decisions, problem-solving)Individual contributor roleDOA in line with TMAPInteraction: (The span and nature of one’s engagement with others when performing one’s job, internal and external relationships)Role requires business partnership interface within and outside Enterprise Data & Analytics to ensure alignment for AI and data science priorities, roles, responsibilities and accountabilitiesInnovation: (The required level of scientific knowledge, knowledge sharing, innovation and risk taking)Translate data science, artificial intelligence and machine learning trends and technology into executionComplexity: (Products managed, mix of businesses, internal and/or external business environment, cultural considerations)Impact across the full portfolio of strategic productsAbility to interface with international stakeholders and to connect internal and external data science and AI experts of both academia and industries – high change management complexityCapabilities to translate business needs into data analytics concepts and the other wayStill Hands-on, able to implement and execute initiativesEDUCATION, BEHAVIOURAL COMPETENCIES AND SKILLS :Education / Experience:Advanced degree: required e.g. in Data Science, Computer Science, Engineering, Mathematics, Statistics, Physics, Economics or similar, Master's and PHD preferredFor a Master's or a PhD:, it is expected to have a minimum of 6 years: of AI/Machine Learning/ Data Science experience: in technology companies, Life Sciences, Pharma, Biotech, or relevant regulated industries (banking, insurance etc.). Minimum 8 years: of production level experience: after bachelor's degre:e.Advanced Machine Learning (ML) & Deep Learning (DL): Expertise in ML/DL algorithms, frameworks, and generative modelsNatural Language Processing (NLP) & GenAI: Proficiency in NLP techniques and state-of-the-art models for GenAI applications.Programming & Data Engineering: Strong coding skills in Python and R, data preprocessing, ETL, and handling big data with toolsCloud Computing & MML/MLOps: Experience with cloud platforms (AWS, Azure), containerization, model deployment, and MML/ MLOps practices, frameworks and automationSoftware Development & Ethics in AI: Proficient in software development best practices, version control (Git), algorithm optimization, and understanding of AI ethics and bias mitigation.Analytical Problem-Solving: Strong analytical and problem-solving abilities, focused on delivering actionable business solutionsExcellent presentation: and communication: skills with ability to tell a story: in a clear and concise manner to technical and non-technical audiencesSkilled: in agile: product developmentProfessional/business level proficiency in both English and Japanese:, with a global mindset and willingness to work in a multi-national environment.Behaviors:Strategic enterprise thinking, finding innovative ways to serve patients build reputation and trustCreating a diverse, equate and inclusive environment that inspires and enables peopleFocusing on the few priorities and provide superior resultsElevating capabilities for now and the futureADDITIONAL INFORMATION :This role requires onsite/hybrid presence and cannot be performed as remote only role.:Takeda Compensation and Benefits Summary:Allowances Commutation, Housing, Overtime Work etc.Salary Increase Annually, Bonus Payment Twice a yearWorking Hours Headquarters (Osaka/ Tokyo) 9 00-17 30, Production Sites (Osaka/ Yamaguchi) 8 00-16 45, (Narita) 8 30-17 15, Research Site (Kanagawa) 9 00-17 45Holidays Saturdays, Sundays, National Holidays, May Day, Year-End Holidays etc. (approx. 123 days in a year)Paid Leaves Annual Paid Leave, Special Paid Leave, Sick Leave, Family Support Leave, Maternity Leave, Childcare Leave, Family Nursing Leave.Flexible Work Styles Flextime, TeleworkBenefits Social Insurance, Retirement and Corporate Pension, Employee Stock Ownership Program, etc.Important Notice concerning working conditions:It is possible the job scope may change at the company’s discretion.It is possible the department and workplace may change at the company’s discretion.Locations:Tokyo, JapanWorker Type:EmployeeWorker Sub-Type:RegularTime Type:Full time