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Data Scientist

Multiple Locations
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On the Global Manufacturing and Supply (GMS) team at Takeda, you’ll be part of a rapidly transforming industry that’s applying technology and data in new ways. Within our agile, innovative, people-centric organization, your work will matter every day as you use your skills to help us manufacture therapies for patients on our four platforms:

  • Small Molecules
  • Biologics
  • Plasma
  • Cell and Gene

As part of the GMS team, you'll have the opportunity to pursue unique experiences and build new skills, and you'll know that the work you do every day makes an impact — on our patients, our people, our planet, and on yourself.

Job ID R0122886 Date posted 05/10/2024 Location Multiple Locations

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Job Description

Sarà considerato requisito preferenziale l'appartenenza alle categorie protette (legge n. 68/99)

Job Title: Data Scientist

Location: Rieti

MAIN ACTIVITIES AND DUTIES:

The Data Scientist will be part of the local Manufacturing Science (MS) department of Takeda Rieti and will be reporting to the Investigation & data science lead. The position is based in Rieti.

  • Manages and drives local digital data science initiatives according to prioritization (e.g. Yield Improvement, real-time monitoring, predictive process performance etc.).
  • Expand and unlock new knowledge for effective process monitoring and process improvement optimizations (e.g. descriptive statistics and visualization, statistical process control, out-of-the-box-tools).
  • Foster the adoption and development of automated pipeline for real-time data retrieval and analysis. Gathers and identifies local data science possibilities/initiatives/requests in collaboration with local team, DD&T, Engineering, Quality and global GMS data science.
  • Partnership with local functions, DD&T, Engineering, Quality and provides the link between local and global data science team.
  • Manage and execute reporting activities, especially the ones related to the deployment of Power BI dashboards for Yield and Process monitoring
  • Supports and participates in global/functional/local GMS data science community
  • Drives necessary local trainings.
  • Translate business problems into opportunities and effectively communicate findings with stakeholders.
  • Assure the continuous improvement of digital data repositories

BEHAVIOURAL COMPETENCIES AND SKILLS:

  • Good Mathematical and Statistical Knowledge
  • Proven experience in manipulating large datasets and development/implementation of Machine Learning /Deep Learning algorithms and main frameworks.
  • Respective coding skills es in Python/R (essential)
  • Proficiency in database languages (SQL), understanding of data models and databases
  • Experience with time series data analysis preferred
  • Familiar with Cloud computing 
  • Proven knowledge of BI tools such (Power BI, Qlik, etc…)

  • Strategic enterprise thinking, finding innovative ways to serve patients build reputation and trust.
  • Extensive capabilities to translate business needs into data analytics concepts and the other way
  • Project management skills.
  • Excellent communication and presentation skills as well as influencing skills.
  • Act as a driver to raise awareness and shift the paradigm actively contributing to the digital transformation.
  • Analytical, critical thinking and problem-solving skills.

EDUCATION:

  • Master/MBA and/or PhD in Computer Science, Engineering or other scientific disciplines
  • Proven experience (3+ year-experience) in data analysis related position or equivalent academic experience/course record.
  • Hands-on experience in applying and executing Artificial Intelligence/Deep Learning, Machine Learning, Big Data and Digital with respective programming knowledge
  • Fluent written and spoken English mandatory
  • Contribution to GitHub repositories and stack overflow and participations in competitions, e.g. on kaggle, data challenges, hackathons are advantageous

ADDITIONAL INFO

  • Willingness to travel within Takeda sites

Locations

ITA - Rieti

Worker Type

Employee

Worker Sub-Type

Regular

Time Type

Full time
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Working at Takeda

  • Inclusion

    Here, you will feel welcomed, respected, and valued as a vital contributor to our global team.
  • Collaboration

    A strong, borderless team, we strive together towards our priorities and inspiring mission.
  • Innovation

    Bold initiatives, continuous improvement, and creativity are at the heart of how we bring scientific breakthroughs from the lab to patients.
  • Top Workplace

    Recognized for our culture and way of working, we’re one of only 17 companies to receive Top Global Employer® status for 2024.
  • Work-Life

    Our people-first mission extends beyond patients to include their families, communities, and our own Takeda family.
  • Empowerment

    Through trust and respect, you will have genuine support from leaders, managers, and colleagues to do your best work.

What we believe in

Our values of Takeda-ism are Integrity, Fairness, Honesty and Perseverance, with Integrity as the core. These are brought to life through actions based on Patient, Trust, Reputation and Business, in that order.

Our belief in putting people first extends beyond our patients — it includes their families and communities, as well as our Takeda colleagues and their families.

We are committed to embracing our differences, valuing different perspectives, and fostering a culture of respect, inclusiveness and empowerment.

Our embedded Diversity, Equity & Inclusion (DE&I) strategy enables us to attract and retain exceptional talent, drives innovation, and helps address systemic inequalities in our communities.

  • Integrity

  • Fairness

  • Honesty

  • Perseverance

We're Steadfast In Our Commitment to Four Key Imperatives

Patient


Responsibly translate science into highly innovative medicines and accelerate access to improve lives worldwide.

People


Create an exceptional people experience.

Planet


Protect our planet.

Data & Digital


Transform Takeda into the most trusted, data-driven, outcomes-based biopharmaceutical company.

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