23 ene
Nestlé
Xico
Sr Specialist Data Scientist / Machine LearningWe are Nestlé, the largest food and beverage company.
We are 308,000 employees strong driven by the purpose of enhancing the quality of life and contributing to a healthier future.
Our values are rooted in respect: respect for ourselves, respect for others, respect for diversity and respect for our future.
With more than CHF 91.4 billion sales in 2018, we have an expansive presence with 413 factories in more than 85 countries.
Want to learn more?
Visit us at www.nestle.com.
We encourage the diversity of applicants across gender, age, ethnicity, nationality, sexual orientation, social background, religion or belief and disability.
Step outside your comfort zone; share your ideas,
way of thinking and working to make a difference to the world, every single day.
You own a piece of the action – make it count.
WE ARE LOOKING FOR Sr Data Scientist who will be responsible for overseeing the daily runs of digital twin models in production, evaluating performance metrics and conducting root cause analysis for any issues.
Supporting new Digital Twin initiative within NUSA.
Responsible for maintaining solutions that generate $10-20M+ of value annually.
The ideal candidate in this role is a Data Scientist or Engineer with a passion for optimizing workflows and a strong inclination towards practical problem-solving, demonstrating a keen interest in the engineering aspects of data science.
ACTIVITIES / RESPONSIBILITIES The Sr.
Data Scientist will be responsible for:
MLOps (monitoring models / Digital Twins in production)Evaluate performance metrics and tune modelsIssue root cause analysis and issue resolutionDevelop enhancements to models as needed by the businessEXPERIENCE & BACKGROUND REQUIRED Bachelor´s Degree in Computer science,
statistics, mathematics, analytics, or Business / economics.Data Analysis and statistical skillsProficiency in analyzing data using PythonMachine Learning and ModelingExperience building and validating modelsProficient in data manipulation through scripting in PythonExperience troubleshooting and diagnosing issues in data models.ProgrammingProficiency in PythonExperience with GitNice to have:MLOps PracticesFamiliarity using CI/CD pipelines and containerization (e.g., Docker) for model deploymentData VisualizationExperience with data visualization (e.g., Tableau, Power BI, Streamlit) to present findings.About the IT Hub We are a team of IT professionals from many countries and diverse backgrounds, each with unique missions and challenges in the biggest health, nutrition and wellness company of the world.
We innovate every day through forward-looking technologies to create opportunities for Nestlé's digital challenges with our consumers, customers and at the workplace.
We collaborate with our business partners around the world to deliver standardized, integrated technology products and services to create tangible business value.
How we will proceed:
You apply / send us your CV ? We contact relevant applicants ? Interviews ? Feedback ? Job Offer communication to the Finalist ? First working day
We offer you: We offer more than just a job.
We put people first and inspire you to become the best version of yourself.
Great benefits including competitive salary and a comprehensive social benefits package.
We have one of the most competitive pension plans on the market, as well as flexible remuneration with tax advantages: health insurance,
restaurant card, mobility plan, etc.Personal and professional growth through ongoing training and constant career opportunities reflecting our conviction that people are our most important asset.Hybrid working environment with flexible working scheme. Our state-of-the-art campus is dog friendly and equipped with a medical center, canteen and areas to co-create network and chill!Recreation activities such as yoga, Zumba, etc.
and a wide range of volunteering activities.
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Muestra tus habilidades a la empresa, rellenar el formulario y deja un toque personal en la carta, ayudará el reclutador en la elección del candidato.