Data Scientist / ML Engineer (m/f/x)
GENEVA BUSINESS CENTER
Procter & Gamble
Job Location
Petit-LancyJob Description
Position: Data Scientist / ML Engineer (m/f/x)
Location: Geneva
We are looking for a passionate Data Scientist / ML Engineer who is eager to make an impact on their career and take on a new challenge in driving forward P&G's AI Transformation and AI Factory!
You will join a renowned company improving lives of billions of consumers by applying data science. You’ll be welcomed within a large team of Data Scientists & AI Engineers with diverse backgrounds and seniorities w. Within that network, it will be your job to solve technical challenges arising from implementing and scaling state-of-the-art artificial intelligence solutions,
With us you will
Mine terabytes of data, develop ML pipelines, setup MLOps practices, select practical solutions to deliver sustainable models and recommendations to change how P&G operates.
Partner with peers in DataScience and AI Engieering, and business partners to fully understand the problem and lead them towards appling the right solutions for their real-world problems
Build a deep understanding of Project Management, MLOps practices, AI technology stack including statistics and machine learning.
Discover and invent next-generation analytic capabilities for our category analysts and business partners
Own your new creative algorithm-driven applications from design-thinking up to user adoption
Job Qualifications
Masters degree in a quantitative degree (Statistics, Operation Research, Systems Engineering, Computer Science, Applied Math, Economics)
Solid code writing capabilities - Python, SQL, scalable code design are preferable
Strong technical & analytical skills (MLOps practices, Cloud fundamentals, model selection and evaluation, etc.)
Discipline in self-organizing your work, and konwlege in agile methodologies steering teams.
- Proven success in leadership, problem-solving and prioritizing
Strong collaboration skills and working comfortably across teams
Basic understanding of Business Intelligence Tools such as PowerBI, Tableau, Grafana, ...
What we offer
Work in an international team with global responsibilities (and Data Science & Engineering teams )
Industry Certifications (e.g. DevOps, Professional Scrum Master, Azure Fundamental, SAFe Agilist and many others)
Competitive salary and benefits program (private health care, life insurance, P&G stock options, saving plans, lunch subsidy, sport cards, in-office fitness center)
Internal coaching programs & training
Flexible working arrangements
Long-term career with development and growth opportunities
Who we are:
P&G was founded over 180 years ago as a simple soap and candle company. Today, we’re the world’s largest consumer goods company and home to iconic, trusted brands that make life a little bit easier in small but significant ways. We’ve spanned three centuries thanks to three simple ideas: leadership, innovation and citizenship. The insight, innovation and passion of hardworking teams has helped us grow into a global company that is governed responsibly and ethically, that is open, visible, and that supports good causes and protects the environment.
P&G is committed to providing equal opportunities in employment. We value diversity, and we do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Immigration sponsorship is available only for candidates with EU/EFTA (from Switzerland, Iceland, Liechtenstein, Norway) nationalities due to legal restrictions. For all candidates with non-EU/EFTA nationalities, we strongly encourage you to check our jobs in the other countries in which we operate. We might have a great career opportunity waiting for you elsewhere.
Job Schedule
Full timeJob Number
R000104836Job Segmentation
Recent Grads/Entry Level (Job Segmentation)* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Azure Business Intelligence Computer Science DevOps Economics Engineering Grafana Machine Learning Mathematics MLOps Pipelines Power BI Python Research Scrum SQL Statistics Tableau
Perks/benefits: Career development Competitive pay Equity Flex hours Health care Home office stipend Insurance
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