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Data Science Analyst
4 tygodni temu
Takeda Business Solutions (TBS) is a global function within Takeda, enabling the company's business strategy and delivering innovative solutions. Our vision is to create an exceptional people experience with patients at the center of all that we do.
Innovation, Analytics & Automation (IA&A) partners with DD&T on automation solutions, AI/GenAI innovation, reporting, and analytics powered by data for Takeda. This collaboration helps better serve patient needs and improve business performance.
The Data Science Analyst will report to the Artificial Intelligence Innovation Lead and be responsible for:
- Supporting Takeda Vision and Data strategy through collaboration with business stakeholders at Takeda and the DD&T teams.
- Building Global Reports on common data platforms in partnership with DD&T to cover critical business stakeholders' reporting requirements.
- Supporting the roll-out of tested Proof of Concepts (POV) in Analytics and Data Science.
- Conducting business analysis activities critical for solutions development and serving as a support to key business stakeholders for decision making.
- Identifying data science analytics needs by collecting stakeholders' input on required KPIs and metrics, performing discovery phase from data and business process perspective.
- Demonstrating hands-on experience in developing and training AI/GenAI models.
- Applying advanced Python skills for data analysis, model building, and deployment.
- Supporting TBS data strategy implementation through data science analysis, enabling the development and application of analytics solutions.
- Assisting business stakeholders with analyses that drive behavior change and improve processes and performance.
- Collaborating with DD&T and business teams to enhance data models for business intelligence tools and data science models, increasing data accessibility and fostering data-driven decision-making across the organization.
- Demonstrating proven experience in building and training AI/GenAI models.
- Utilizing Python for data analysis, model building, and deployment.
- Identifying opportunities for innovation and the application of data science solutions.
- Performing data analysis to design fit-for-purpose solutions.
- Master's degree in Econometrics, Computer Science, Engineering, Mathematics, Statistics, Data Science, or a related field from an accredited institution.
- Minimum of 5 years of experience in data analytics and/or data science.
- Extensive experience in developing and training AI/GenAI models.
- High-level proficiency in Python for data science applications.
- High degree of integrity, confidence, self-awareness, and learning agility.
- Customer-centric and solutions-oriented attitude.
- Proven track record in providing solutions based on business user needs.
- Your Wealth:
- Annual Bonus
- Referral Bonus
- Social Fund (Christmas Bonus, Holiday Allowance)
- Employee Recognition
- Your Health:
- Medical Care - various packages fully sponsored by Takeda
- Eyeglass refund
- Your Future:
- Group Life Insurance
- Employee Capital Plans
- Broad variety of learning platforms
- Professional Growth opportunities including mentoring program
- Next-Generation Series – comprehensive offer of internal webinars available to all employees
- One additional day-off for voluntary activities
- Fruits in the office, broad variety of coffee and tea
- Flexible working hours and hybrid working
- Employee assistance program
Takeda is committed to creating an inclusive workplace where individuals are recognized for their diverse backgrounds and abilities. We welcome applications from all qualified candidates and strive to make our workplace accessible and welcoming to everyone.