Data Science & Process Excellence Lead

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’sPrivacy Noticeand 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

At our heart we are committed colleagues. We offer interested people numerous opportunities and strongly believe in, and promote, diversity, equity, and inclusion. As a company we offer roles based on merit, welcoming candidates of any gender, age, religious belief, sexual orientation, race, color, ethnic or social origin, or disability.

Our team is growing and for this we need bright minds with creativity and flexibility – what talent do you have?

We are looking for a Data Science & Process Excellence Lead who will be driving data-driven decision-making and process excellence to enhance patient and healthcare experiences.  This role is at the forefront of implementing advanced analytical techniques such as AI, machine learning, and statistics, which are crucial for driving innovation and strategic growth within the organization.

DATA SCIENCE ACCOUNTABILITIES

• Stakeholder Collaboration: Work with internal stakeholders to identify and prioritize unmet needs that can be addressed using analytics.

• Data Analysis: Analyze large and complex datasets to derive actionable insights that support data-driven decision-making.

• Model Building: Develop statistical models, machine learning algorithms, and predictive models to enhance business strategies.

• Solution Development: Create solutions using advanced analytical techniques such as data mining, visualization, and machine learning.

• Project Management: Oversee project delivery from start to finish, ensuring high-quality machine learning pipeline development and documentation.

• Adoption and Change Management: Drive the adoption of solutions through user-centered design and clear demonstration of value.

• Roadmap Development: Collaborate to create and evolve the data science roadmap and operating model.

• Community Participation: Engage with the regional analytics community to contribute and leverage best practices.

• Compliance: Ensure adherence to corporate policies and data security strategies.

PROCESS EXCELLENCE ACCOUNTABILITIES

• Process Design Leadership: Lead projects aimed at improving efficiency, business performance, and customer satisfaction.

• Localization of Processes: Adapt global processes to local contexts by adding details and defining clear ownership.

• Process Documentation: Maintain clear documentation to ensure alignment and reduce silos.

• Automation: Automate processes using tools like Power Automate and similar automation technologies.

• Process Optimization: Identify and prioritize key processes for optimization while balancing organizational change management.

• Goal Setting and Monitoring: Establish clear goals and KPIs and monitor progress.

• Governance and Communication: Set up governance for continuous improvement initiatives and ensure timely communication to manage risks and foster collaboration.

• Capability Building: Create tools, templates, or playbooks to enhance organizational capabilities and establish habits.

• Training Development: Develop and deliver training programs to educate employees on new and improved processes.

EDUCATION, SKILLS AND EXPERIENCE

• M.Sc. or PhD within Computer Science, Physics, Statistics, Mathematics, or other relevant degree.

• 3+ years in Data Science; 5+ years of Program/Project Management experience.

• Expertise in process optimization, business process design, Lean Six Sigma, Agile methodologies, and ITIL practices.

• Strong skills in diagnostics, value stream mapping, and continuous improvement.

• Proficiency in data mining, visualization, machine learning, statistics; Market Mix Modeling, recommendation engines, and automation tools like Power Automate.

• Advanced knowledge in Python, R, SQL; familiarity with Databricks ML environment, RStudio, Dataiku, ABBY, and Linguamatics.

• Skilled in deploying machine learning applications and creating data visualizations (e.g., Power BI).

• Skilled in cross-functional partnerships, stakeholder engagement, and managing projects through concept to adoption.

• Visionary mindset for driving organizational innovation in data science and process excellence; strong curiosity and growth mindset.

• Fluent in Dutch and English.

Empowering our people to shine

At Takeda, we earn the trust of society and our customers through our values of Takeda-ism: Integrity, Fairness, Honesty, Perseverance. We incorporate these values in everything we do. They represent who we are and how we act. They help us make decisions that we can be proud of today and in the future. We enable our employees to develop their full potential.

As a global top employer, we offer exciting career paths, promote innovation, and strive for top performance in everything we do. Takeda fosters an inclusive, collaborative, and international work environment where our teams are united by their relentless commitment to our goal of improving people's health and creating a better future for the world.

Diversity, Equality, and Inclusion

Takeda is committed to foster diversity, equality, and inclusion. Hiring decisions are based entirely on qualifications and are made regardless of gender, ethnic origin, religion, sexual orientation, age, or disability.

If you are interested in this opportunity, we look forward to receiving your application via our online tool!

Learn more at takedajobs.com

Locations

Worker Type

Worker Sub-Type

Time Type